WorldWideScience

Sample records for biped humanoid robot

  1. Tendon Based Full Size Biped Humanoid Robot Walking Platform Design

    Science.gov (United States)

    Kuo, Chung-Hsien; Chiou, Kuo-Wei

    Actuators and gear trains of most biped humanoid robots are divergently allocated on the links of two legs. Disadvantages of such a mechanical design are complicated wiring of power cord and sensing/ control signal bundles and imprecise kinetics models of mixed link-and-actuator structures. Based on these drawbacks, this paper proposes a tendon-driven mechanism to develop a lower body structure of a full-size biped humanoid robot. The actuators are compacted as an actuator module, and they are placed at a distal site. A 12 degree-of-freedom mechanical structure is proposed with 100 cm in height and 45 kg in weight. The gait planning module is simulated and evaluated using the Matlab software. At the same time, an ARM7 based controller is developed to automatically generate walking patterns as well as to control the motors. Finally, a tendon-driven biped humanoid robot prototype is realized for practical waling control in the future.

  2. Navigation Strategy by Contact Sensing Interaction for a Biped Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Hanafiah Yussof

    2008-06-01

    Full Text Available This report presents a basic contact interaction-based navigation strategy for a biped humanoid robot to support current visual-based navigation. The robot's arms were equipped with force sensors to detect physical contact with objects. We proposed a motion algorithm consisting of searching tasks, self-localization tasks, correction of locomotion direction tasks and obstacle avoidance tasks. Priority was given to right-side direction to navigate the robot locomotion. Analysis of trajectory generation, biped gait pattern, and biped walking characteristics was performed to define an efficient navigation strategy in a biped walking humanoid robot. The proposed algorithm is evaluated in an experiment with a 21-dofs humanoid robot operating in a room with walls and obstacles. The experimental results reveal good robot performance when recognizing objects by touching, grasping, and continuously generating suitable trajectories to correct direction and avoid collisions.

  3. Navigation Strategy by Contact Sensing Interaction for a Biped Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Hanafiah Yussof

    2008-11-01

    Full Text Available This report presents a basic contact interaction-based navigation strategy for a biped humanoid robot to support current visual-based navigation. The robot's arms were equipped with force sensors to detect physical contact with objects. We proposed a motion algorithm consisting of searching tasks, self-localization tasks, correction of locomotion direction tasks and obstacle avoidance tasks. Priority was given to right-side direction to navigate the robot locomotion. Analysis of trajectory generation, biped gait pattern, and biped walking characteristics was performed to define an efficient navigation strategy in a biped walking humanoid robot. The proposed algorithm is evaluated in an experiment with a 21-dofs humanoid robot operating in a room with walls and obstacles. The experimental results reveal good robot performance when recognizing objects by touching, grasping, and continuously generating suitable trajectories to correct direction and avoid collisions.

  4. Walking biped humanoids that perform manual labour.

    Science.gov (United States)

    Hirukawa, Hirohisa

    2007-01-15

    The Humanoid Robotics Project of the Ministry of Economy, Trade and Industry of Japan realized that biped humanoid robots can perform manual labour. The project developed humanoid robot platforms, consisting of humanoid robot hardware and a package of fundamental software, and explored applications of humanoid robots on them. The applications include maintenance tasks of industrial plants, teleoperation of industrial vehicles, cooperative tasks with a human, guarding the home and office and the care of patients in beds.

  5. Foot placement modification for a biped humanoid robot with narrow feet.

    Science.gov (United States)

    Hashimoto, Kenji; Hattori, Kentaro; Otani, Takuya; Lim, Hun-Ok; Takanishi, Atsuo

    2014-01-01

    This paper describes a walking stabilization control for a biped humanoid robot with narrow feet. Most humanoid robots have larger feet than human beings to maintain their stability during walking. If robot's feet are as narrow as humans, it is difficult to realize a stable walk by using conventional stabilization controls. The proposed control modifies a foot placement according to the robot's attitude angle. If a robot tends to fall down, a foot angle is modified about the roll axis so that a swing foot contacts the ground horizontally. And a foot-landing point is also changed laterally to inhibit the robot from falling to the outside. To reduce a foot-landing impact, a virtual compliance control is applied to the vertical axis and the roll and pitch axes of the foot. Verification of the proposed method is conducted through experiments with a biped humanoid robot WABIAN-2R. WABIAN-2R realized a knee-bended walking with 30 mm breadth feet. Moreover, WABIAN-2R mounted on a human-like foot mechanism mimicking a human's foot arch structure realized a stable walking with the knee-stretched, heel-contact, and toe-off motion.

  6. Foot Placement Modification for a Biped Humanoid Robot with Narrow Feet

    Directory of Open Access Journals (Sweden)

    Kenji Hashimoto

    2014-01-01

    Full Text Available This paper describes a walking stabilization control for a biped humanoid robot with narrow feet. Most humanoid robots have larger feet than human beings to maintain their stability during walking. If robot’s feet are as narrow as humans, it is difficult to realize a stable walk by using conventional stabilization controls. The proposed control modifies a foot placement according to the robot's attitude angle. If a robot tends to fall down, a foot angle is modified about the roll axis so that a swing foot contacts the ground horizontally. And a foot-landing point is also changed laterally to inhibit the robot from falling to the outside. To reduce a foot-landing impact, a virtual compliance control is applied to the vertical axis and the roll and pitch axes of the foot. Verification of the proposed method is conducted through experiments with a biped humanoid robot WABIAN-2R. WABIAN-2R realized a knee-bended walking with 30 mm breadth feet. Moreover, WABIAN-2R mounted on a human-like foot mechanism mimicking a human's foot arch structure realized a stable walking with the knee-stretched, heel-contact, and toe-off motion.

  7. Kinematics and Dynamics of a New 16 DOF Humanoid Biped Robot with Active Toe Joint

    Directory of Open Access Journals (Sweden)

    C. Hernández-Santos

    2012-11-01

    Full Text Available Humanoid biped robots are typically complex in design, having numerous Degrees-of-Freedom (DOF due to the ambitious goal of mimicking the human gait. The paper proposes a new architecture for a biped robot with seven DOF per each leg and one DOF corresponding to the toe joint. Furthermore, this work presents close equations for the forward and inverse kinematics by dividing the walking gait into the Sagittal and Frontal planes. This paper explains the mathematical model of the dynamics equations for the legs into the Sagittal and Frontal planes by further applying the principle of Lagrangian dynamics. Finally, a control approach using a PD control law with gravity compensation was recurred in order to control the desired trajectories and finding the required torque by the joints. The paper contains several simulations and numerical examples to prove the analytical results, using SimMechanics of MATLAB toolbox and SolidWorks to verify the analytical results.

  8. Introduction to humanoid robotics

    CERN Document Server

    Kajita, Shuuji; Harada, Kensuke; Yokoi, Kazuhito

    2014-01-01

    This book is for researchers, engineers, and students who are willing to understand how humanoid robots move and be controlled. The book starts with an overview of the humanoid robotics research history and state of the art. Then it explains the required mathematics and physics such as kinematics of multi-body system, Zero-Moment Point (ZMP) and its relationship with body motion. Biped walking control is discussed in depth, since it is one of the main interests of humanoid robotics. Various topics of the whole body motion generation are also discussed. Finally multi-body dynamics is presented to simulate the complete dynamic behavior of a humanoid robot. Throughout the book, Matlab codes are shown to test the algorithms and to help the reader´s understanding.

  9. Humanoid Robot

    Science.gov (United States)

    Linn, Douglas M. (Inventor); Ambrose, Robert O. (Inventor); Diftler, Myron A. (Inventor); Askew, Scott R. (Inventor); Platt, Robert (Inventor); Mehling, Joshua S. (Inventor); Radford, Nicolaus A. (Inventor); Strawser, Phillip A. (Inventor); Bridgwater, Lyndon (Inventor); Wampler, II, Charles W. (Inventor); hide

    2013-01-01

    A humanoid robot includes a torso, a pair of arms, two hands, a neck, and a head. The torso extends along a primary axis and presents a pair of shoulders. The pair of arms movably extend from a respective one of the pair of shoulders. Each of the arms has a plurality of arm joints. The neck movably extends from the torso along the primary axis. The neck has at least one neck joint. The head movably extends from the neck along the primary axis. The head has at least one head joint. The shoulders are canted toward one another at a shrug angle that is defined between each of the shoulders such that a workspace is defined between the shoulders.

  10. Walking control of small size humanoid robot: HAJIME ROBOT 18

    Science.gov (United States)

    Sakamoto, Hajime; Nakatsu, Ryohei

    2007-12-01

    HAJIME ROBOT 18 is a fully autonomous biped robot. It has been developed for RoboCup which is a worldwide soccer competition of robots. It is necessary for a robot to have high mobility to play soccer. High speed walking and all directional walking are important to approach and to locate in front of a ball. HAJIME ROBOT achieved these walking. This paper describes walking control of a small size humanoid robot 'HAJIME ROBOT 18' and shows the measurement result of ZMP (Zero Moment Point). HAJIME ROBOT won the Robotics Society of Japan Award in RoboCup 2005 and in RoboCup 2006 Japan Open.

  11. Humanoid Robot Balance Control using the Spherical Inverted Pendulum Model

    Directory of Open Access Journals (Sweden)

    Ahmed eElhasairi

    2015-10-01

    Full Text Available Human beings are highly efficient in maintaining standing balance under the influence of different perturbations. However, biped humanoid robots are far from exhibiting similar skills. This is mainly due to the limitations in the current control and modelling techniques used in humanoid robots. Even though approaches using the Linear Inverted Pendulum Model and the Preview Control schemes have shown improved results, they still suffer from shortcomings in the overall generated motion. We propose here a model and control approach that aims to overcome the limiting assumptions in the LIPM models, through using the ankle joint variables in modelling and control of the standing balance of the humanoid robot.

  12. Teleoperated Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Stefan GRUSHKO

    2016-12-01

    Full Text Available Article describes technical solution of teleoperated humanoid robotic system. To acquire position data of operator’s body Kinect sensor is used. In article are described mathematical equations used to transform data from Kinect sensor to positions of each servomotor of the robot. Article also describes software and electric structure for both components of the system: robot and operator’s PC. All software solutions are developed using C#. For dynamic simulation of the system a detailed model of the robot has been created in V-Rep, simulation receives same data as real robot.

  13. Design and control of a pneumatic musculoskeletal biped robot.

    Science.gov (United States)

    Zang, Xizhe; Liu, Yixiang; Liu, Xinyu; Zhao, Jie

    2016-04-29

    Pneumatic artificial muscles are quite promising actuators for humanoid robots owing to their similar characteristics with human muscles. Moreover, biologically inspired musculoskeletal systems are particularly important for humanoid robots to perform versatile dynamic tasks. This study aims to develop a pneumatic musculoskeletal biped robot, and its controller, to realize human-like walking. According to the simplified musculoskeletal structure of human lower limbs, each leg of the biped robot is driven by nine muscles, including three pairs of monoarticular muscles which are arranged in the flexor-extensor form, as well as three biarticular muscles which span two joints. To lower cost, high-speed on/off solenoid valves rather than proportional valves are used to control the muscles. The joint trajectory tracking controller based on PID control method is designed to achieve the desired motion. Considering the complex characteristics of pneumatic artificial muscles, the control model is obtained through parameter identification experiments. Preliminary experimental results demonstrate that the biped robot is able to walk with this control strategy. The proposed musculoskeletal structure and control strategy are effective for the biped robot to achieve human-like walking.

  14. Teen Sized Humanoid Robot: Archie

    Science.gov (United States)

    Baltes, Jacky; Byagowi, Ahmad; Anderson, John; Kopacek, Peter

    This paper describes our first teen sized humanoid robot Archie. This robot has been developed in conjunction with Prof. Kopacek’s lab from the Technical University of Vienna. Archie uses brushless motors and harmonic gears with a novel approach to position encoding. Based on our previous experience with small humanoid robots, we developed software to create, store, and play back motions as well as control methods which automatically balance the robot using feedback from an internal measurement unit (IMU).

  15. Open Object Recognition for Humanoid Robots

    National Research Council Canada - National Science Library

    Fitzpatrick, Paul

    2003-01-01

    .... At the MIT Humanoid Robotics Group, investigators are developing methods that permit their robots to deduce the structure of novel activities, adopt the vocabulary appropriate for communication...

  16. Humanoid Robots in the Classroom

    DEFF Research Database (Denmark)

    Majgaard, Gunver

    2015-01-01

    Humanoid robots have been used as educational tools in primary and lower secondary schools. The students involved were between 11 and 16 years old. The learning goals included: programming, language learning, ethics, technology and mathematics, e.g. practised by 7th grade students who programmed...... the robots and made the robots recite poems about the future. As preparation, the teachers participated in workshops in didactical planning and programming of the robots. In the most successful settings, the students worked with academic objectives beyond programming and robotics. Through examples......, the potentials and the shortcomings of robot-supported learning are highlighted....

  17. Kinematic Model of NAO Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Miloš D. Jovanović

    2014-06-01

    Full Text Available This paper presents synthesis of kinematic model of NAO humanoid robot of Aldebaran Robotics. NAO humanoid robot has complex kinematic structure with 25 active degrees of freedom (DOF. Humanoid system is formed through 5 mutually depended kinematic chains. After that we applied standard aspects of kinematic chains synthesis and Denavit-Hartenberg parameters of each of 5 chains of robotic structure were introduced. Also, mutual relationships between chains were described, as well as their physical and structural dependence. Generated kinematic model will be the starting point for further dynamical modeling of NAO humanoid robot and motion synthesis on actual platform.

  18. Body Trajectory Planning of Biped Robot Based on ZMP

    Science.gov (United States)

    Sato, Tomoya; Suzuki, Tomoyuki; Shibuya, Maki; Ohnishi, Kouhei

    In this paper, a body trajectory planning method of a biped robot based on ZMP (zero-moment point) is proposed. In the proposed method, the body of the biped robot is maintained at a constant height during walking. By this body trajectory, the biped robot walks stably without moving up and down the body height. Higher energy efficiency can be achieved by the proposed method than the conventional method that maintains a constant COG (center of gravity) height, since the biped robot walks with a higher body position and with less torque of joints. Additionally, the validity of the proposed method was confirmed by experiments of walking.

  19. Static standing and dynamic walking of a practical biped robot

    Energy Technology Data Exchange (ETDEWEB)

    Zheng, Yuan F.; Rao, M.

    1987-01-01

    The study of static standing and dynamic walking of a practical biped robot is presented in this research report. A systematic method for describing the kinematic behavior of a biped robot is first developed. The development is based on the well-known Denavit-Hartenburg convention. As a result, the method is basically the same as the one used for robot manipulators, except for some considerations given to the unique functions and structure of a biped robot. The static standing of a biped robot is then studied. It is argued that static standing capability is very important if a biped robot is to be employed in an industrial environment. In order to measure the performance of the biped in static standing in terms of its stability, two parameters, stable margin and stable index, are introduced. Based on these parameters, optimal stability of the biped robot with one-foot and two-foot standing cases are discussed. For dynamic walking, a mathematical treatment is first described. Conclusion is reached that by proper positioning of the landing, stable dynamic walking can be realized. A practical biped robot is introduced in the final part of the report. Experimental results of static standing and dynamic walking of the biped robot are presented, to verify the theoretical results. 28 refs., 9 figs., 1 tab.

  20. A Modular Approach for Trajectory Generation in Biped Robots

    Science.gov (United States)

    Pinto, Carla M. A.; Rocha, Diana; Santos, Cristina P.; Matos, Vítor

    2011-09-01

    Robot locomotion has been a major research issue in the last decades. In particular, humanoid robotics has had a major breakthrough. The motivation for this study is that bipedal locomotion is superior to wheeled approaches on real terrain and situations where robots accompany or replace humans. Some examples are, on the development of human assisting device, such as prosthetics, orthotics, and devices for rehabilitation, rescue of wounded troops, help at the office, help as maidens, accompany and assist elderly people, amongst others. Generating trajectories online for these robots is a hard process, that includes different types of movements, i.e., distinct motor primitives. In this paper, we consider two motor primitives: rhythmic and discrete. We study the effect on a bipeds robots' gaits of inserting the discrete part as an offset of the rhythmic primitive, in synaptic and diffusive couplings. Numerical results show that amplitude and frequency of the periodic solution, corresponding to the gait run are almost constant in all cases studied here.

  1. A CORBA-Based Control Architecture for Real-Time Teleoperation Tasks in a Developmental Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Hanafiah Yussof

    2011-06-01

    Full Text Available This paper presents the development of new Humanoid Robot Control Architecture (HRCA platform based on Common Object Request Broker Architecture (CORBA in a developmental biped humanoid robot for real-time teleoperation tasks. The objective is to make the control platform open for collaborative teleoperation research in humanoid robotics via the internet. Meanwhile, to generate optimal trajectory generation in bipedal walk, we proposed a real time generation of optimal gait by using Genetic Algorithms (GA to minimize the energy for humanoid robot gait. In addition, we proposed simplification of kinematical solutions to generate controlled trajectories of humanoid robot legs in teleoperation tasks. The proposed control systems and strategies was evaluated in teleoperation experiments between Australia and Japan using humanoid robot Bonten-Maru. Additionally, we have developed a user-friendly Virtual Reality (VR user interface that is composed of ultrasonic 3D mouse system and a Head Mounted Display (HMD for working coexistence of human and humanoid robot in teleoperation tasks. The teleoperation experiments show good performance of the proposed system and control, and also verified the good performance for working coexistence of human and humanoid robot.

  2. A CORBA-Based Control Architecture for Real-Time Teleoperation Tasks in a Developmental Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Hanafiah Yussof

    2011-06-01

    Full Text Available This paper presents the development of new Humanoid Robot Control Architecture (HRCA platform based on Common Object Request Broker Architecture (CORBA in a developmental biped humanoid robot for real‐time teleoperation tasks. The objective is to make the control platform open for collaborative teleoperation research in humanoid robotics via the internet. Meanwhile, to generate optimal trajectory generation in bipedal walk, we proposed a real time generation of optimal gait by using Genetic Algorithms (GA to minimize the energy for humanoid robot gait. In addition, we proposed simplification of kinematical solutions to generate controlled trajectories of humanoid robot legs in teleoperation tasks. The proposed control systems and strategies was evaluated in teleoperation experiments between Australia and Japan using humanoid robot Bonten‐Maru. Additionally, we have developed a user‐ friendly Virtual Reality (VR user interface that is composed of ultrasonic 3D mouse system and a Head Mounted Display (HMD for working coexistence of human and humanoid robot in teleoperation tasks. The teleoperation experiments show good performance of the proposed system and control, and also verified the good performance for working coexistence of human and humanoid robot.

  3. The Rh-1 Full-Size Humanoid Robot: Design, Walking Pattern Generation and Control

    Directory of Open Access Journals (Sweden)

    M. Arbulú

    2009-01-01

    Full Text Available This paper is an overview of the humanoid robot Rh-1, the second phase of the Rh project, which was launched by the Robotics Lab at the Carlos III University of Madrid in 2002. The robot mechanical design includes the specifications development in order to construct a platform, which is capable of stable biped walking. At first, the robots’ weights were calculated in order to obtain the inverse dynamics and to select the actuators. After that, mechanical specifications were introduced in order to verify the robot’s structural behaviour with different experimental gaits. In addition, an important aspect is the joints design when their axes are crossed, which is called ‘Joints of Rectangular Axes’ (JRA. The problem with these joints is obtaining two or more degrees of freedom (DOF in small space. The construction of a humanoid robot also includes the design of hardware and software architectures. The main advantage of the proposed hardware and software architectures is the use of standardised solutions frequently used in the automation industry and commercially available hardware components. It provides scalability, modularity and application of standardised interfaces and brings the design of the complex control system of the humanoid robot out of a closed laboratory to industry. Stable walking is the most essential ability for the humanoid robot. The three dimensional Linear Inverted Pendulum Model (3D-LIPM and the Cart-table models had been used in order to achieve natural and dynamic biped walking. Humanoid dynamics is widely simplified by concentrating its mass in the centre of gravity (COG and moving it following the natural inverted pendulum laws (3D-LIPM or by controlling the cart motion (Cart-table model. An offline-calculated motion pattern does not guarantee the walking stability of the humanoid robot. Control architecture for the dynamic humanoid robot walking was developed, which is able to make online modifications of the

  4. A survey report for the turning of biped locomotion robot

    Energy Technology Data Exchange (ETDEWEB)

    Kato, Ichiro; Takanishi, Atsuo [Waseda Univ., Tokyo (Japan); Kume, Etsuo

    1992-12-01

    A mechanical design study of biped locomotion robots is going on at JAERI within the scope of the Human Acts Simulation Program (HASP). The design study at JAERI is of an arbitrarily mobile robot for inspection of nuclear facilities. A survey has been performed for collecting useful information from already existing biped locomotion robots. This is a survey report for the turning of biped locomotion robot: the WL-10R designed and developed at Waseda University. This report includes the control method of turning, machine model and control system. (author).

  5. Generation of initial stepping pattern of a biped robot with modular dynamic encoding algorithm for searches

    Science.gov (United States)

    Kim, Taegyu; Kim, Jong-Wook

    2007-12-01

    In this paper, a modified version of dynamic encoding algorithm for searches (DEAS) is proposed and applied to generate walking patterns of a biped humanoid robot. For the controller of each joint motor to generate optimal trajectories, mDEAS is developed from the previous versions of exhaustive DEAS (eDEAS) and univariate DEAS (uDEAS). Modular DEAS (mDEAS) searches optimal coefficients of polynomials whose trajectories are assigned to joint motors. Since the number of the coefficients amounts up to 16, sharing search space and optimizing independently is expected to search efficiently. For validation of mDEAS, a simulation result about initial stepping is provided.

  6. Comparison of human and humanoid robot control of upright stance.

    Science.gov (United States)

    Peterka, Robert J

    2009-01-01

    There is considerable recent interest in developing humanoid robots. An important substrate for many motor actions in both humans and biped robots is the ability to maintain a statically or dynamically stable posture. Given the success of the human design, one would expect there are lessons to be learned in formulating a postural control mechanism for robots. In this study we limit ourselves to considering the problem of maintaining upright stance. Human stance control is compared to a suggested method for robot stance control called zero moment point (ZMP) compensation. Results from experimental and modeling studies suggest there are two important subsystems that account for the low- and mid-frequency (DC to approximately 1Hz) dynamic characteristics of human stance control. These subsystems are (1) a "sensory integration" mechanism whereby orientation information from multiple sensory systems encoding body kinematics (i.e. position, velocity) is flexibly combined to provide an overall estimate of body orientation while allowing adjustments (sensory re-weighting) that compensate for changing environmental conditions and (2) an "effort control" mechanism that uses kinetic-related (i.e., force-related) sensory information to reduce the mean deviation of body orientation from upright. Functionally, ZMP compensation is directly analogous to how humans appear to use kinetic feedback to modify the main sensory integration feedback loop controlling body orientation. However, a flexible sensory integration mechanism is missing from robot control leaving the robot vulnerable to instability in conditions where humans are able to maintain stance. We suggest the addition of a simple form of sensory integration to improve robot stance control. We also investigate how the biological constraint of feedback time delay influences the human stance control design. The human system may serve as a guide for improved robot control, but should not be directly copied because the

  7. Analysis of double support phase of biped robot and multi-objective ...

    Indian Academy of Sciences (India)

    of the authors' knowledge, it is the first attempt to solve multi-objective optimization problem in double support phase of a biped robot. Keywords. Optimal gait planning; genetic algorithm; particle swarm optimization. 1. Introduction. Biped robots are extensively studied by researchers. A biped robot should be able to walk on.

  8. A Global Step Planning Method for Biped Robot Considering Obstacles

    Science.gov (United States)

    Tsuji, Toshiaki; Ohnishi, Kouhei

    This paper discusses about step planning of a biped robot in an environment with obstacles. Biped robot has a mechanical advantage to work in human surroundings. This is accomplished by its capability to select the discrete contact point with the ground. Though its foot placement should be discussed to step over obstacles, it is difficult because dynamic biped locomotion is a complex interaction system between upper body motion and stepping point. Applying the idea of virtual supporting point, this complex interaction is solved. The collision detection is easily achieved through modeling the obstacles to an off-limits on the horizontal plane. A stamp area is set in order to avoid the extreme stride alteration. Through these methods, the robot can prepare for the obstacle beforehand and select a series of footsteps that provides stable locomotion. Experimental results are shown to confirm the validity of the proposed methods.

  9. A hybrid CPG-ZMP control system for stable walking of a simulated flexible spine humanoid robot.

    Science.gov (United States)

    Or, Jimmy

    2010-04-01

    Biped humanoid robots have gained much popularity in recent years. These robots are mainly controlled by two major control methods, the biologically-inspired approach based on Central Pattern Generator (CPG) and the engineering-oriented approach based on Zero Moment Point (ZMP). Given that flexibility in the body torso is required in some human activities, we believe that it is beneficial for the next generation of humanoid robots to have a flexible spine as humans do. In order to cope with the increased complexity in controlling this type of robot, a new kind of control system is necessary. Currently, there is no controller that allows a flexible spine humanoid robot to maintain stability in real-time while walking with dynamic spine motions. This paper presents a new hybrid CPG-ZMP control system for the walking of a realistically simulated flexible spine humanoid robot. Experimental results showed that using our control method, the robot is able to adapt its spine motions in real-time to allow stable walking. Our control system could be used for the control of the next generation humanoid robots. Copyright 2009 Elsevier Ltd. All rights reserved.

  10. Biologically inspired kinematic synergies enable linear balance control of a humanoid robot.

    Science.gov (United States)

    Hauser, Helmut; Neumann, Gerhard; Ijspeert, Auke J; Maass, Wolfgang

    2011-05-01

    Despite many efforts, balance control of humanoid robots in the presence of unforeseen external or internal forces has remained an unsolved problem. The difficulty of this problem is a consequence of the high dimensionality of the action space of a humanoid robot, due to its large number of degrees of freedom (joints), and of non-linearities in its kinematic chains. Biped biological organisms face similar difficulties, but have nevertheless solved this problem. Experimental data reveal that many biological organisms reduce the high dimensionality of their action space by generating movements through linear superposition of a rather small number of stereotypical combinations of simultaneous movements of many joints, to which we refer as kinematic synergies in this paper. We show that by constructing two suitable non-linear kinematic synergies for the lower part of the body of a humanoid robot, balance control can in fact be reduced to a linear control problem, at least in the case of relatively slow movements. We demonstrate for a variety of tasks that the humanoid robot HOAP-2 acquires through this approach the capability to balance dynamically against unforeseen disturbances that may arise from external forces or from manipulating unknown loads.

  11. Whole-Body Impedance Control of Wheeled Humanoid Robots

    OpenAIRE

    Dietrich, Alexander

    2015-01-01

    Introducing mobile humanoid robots into human environments requires the systems to realize soft physical contacts. In this context, the thesis presents a whole-body robot controller for dexterous physical interaction. The approach enables the robot to perform several control tasks at the same time while following a given order of priority. The theoretical results are experimentally validated on a mobile, torque-controlled humanoid robot. Relevant fields of application are service robotics or ...

  12. State Estimation for Humanoid Robots

    Science.gov (United States)

    2015-07-01

    tactical grade IMU mounted on the pelvis of the robot . It provides pelvis orientation and angular velocity, which are used in the forward kinematics ...depends on sensors available to the robot . We use sensed joint posi- tion with forward kinematics to compute CoM position. The root variables are estimated...when the robot is shifting its supporting foot. Fig. 6.4 is a plot of the CoM velocity from the Kalman filter, and from forward kinemat - ics. The CoM

  13. A Course in Simulation and Demonstration of Humanoid Robot Motion

    Science.gov (United States)

    Liu, Hsin-Yu; Wang, Wen-June; Wang, Rong-Jyue

    2011-01-01

    An introductory course for humanoid robot motion realization for undergraduate and graduate students is presented in this study. The basic operations of AX-12 motors and the mechanics combination of a 16 degrees-of-freedom (DOF) humanoid robot are presented first. The main concepts of multilink systems, zero moment point (ZMP), and feedback…

  14. Alternative Motion Control for Educational Biped BRAT Robots

    Directory of Open Access Journals (Sweden)

    Levente Barabas

    2015-12-01

    Full Text Available In this paper an alternative control solution will be proposed for an educational biped BRAT robot by replacing its SSC-32 servomotor controller with an Arduino R3 development board. Also we will be approaching the problem of adapting the existing electronic circuit to the new requirements and proposing a new application by adding an ultrasonic distance sensor in order to increase the versatility of the robot and make it capable to interact with its environment.

  15. A Study on the Motion Energy of Biped Robot Walking on Different Postures

    Science.gov (United States)

    Tu, Kuo-Yang; Liu, Mi-Shin

    It is interested for a bipedal robot manipulated by different Degree of Freedoms (DoFs) to spend how much motion energy. In this paper, the motion energy of a biped robot influenced by the manipulation of different DoFs is studied. For calculating the motion energy, the forward and inverse kinematics of the designed biped robot are first derived. The 4-3-4 trajectory for planning the movement of robot joints in smoothing is designed for the walking finished by the biped joint movement. Once the joint trajectories of the biped robot are solved, the motion energy including kinetic and potential energy can be calculated. The walking of the biped robot manipulated by 2, 4 and 6 DoFs, respectively, is also included. The study provides the mechanical design of biped robots in the future.

  16. Vocal Emotion of Humanoid Robots: A Study from Brain Mechanism

    Directory of Open Access Journals (Sweden)

    Youhui Wang

    2014-01-01

    Full Text Available Driven by rapid ongoing advances in humanoid robot, increasing attention has been shifted into the issue of emotion intelligence of AI robots to facilitate the communication between man-machines and human beings, especially for the vocal emotion in interactive system of future humanoid robots. This paper explored the brain mechanism of vocal emotion by studying previous researches and developed an experiment to observe the brain response by fMRI, to analyze vocal emotion of human beings. Findings in this paper provided a new approach to design and evaluate the vocal emotion of humanoid robots based on brain mechanism of human beings.

  17. Infant discrimination of humanoid robots

    Directory of Open Access Journals (Sweden)

    Goh eMatsuda

    2015-09-01

    Full Text Available Recently, extremely humanlike robots called androids have been developed, some of which are already being used in the field of entertainment. In the context of psychological studies, androids are expected to be used in the future as fully controllable human stimuli to investigate human nature. In this study, we used an android to examine infant discrimination ability between human beings and non-human agents. Participants (N = 42 infants were assigned to three groups based on their age, i.e., 6- to 8-month-olds, 9- to 11-month-olds, and 12- to 14-month-olds, and took part in a preferential looking paradigm. Of three types of agents involved in the paradigm—a human, an android modeled on the human, and a mechanical-looking robot made from the android—two at a time were presented side-by-side as they performed a grasping action. Infants’ looking behavior was measured using an eye tracking system, and the amount of time spent focusing on each of three areas of interest (face, goal, and body was analyzed. Results showed that all age groups predominantly looked at the robot and at the face area, and that infants aged over 9 months watched the goal area for longer than the body area. There was no difference in looking times and areas focused on between the human and the android. These findings suggest that 6- to 14-month-olds are unable to discriminate between the human and the android, although they can distinguish the mechanical robot from the human.

  18. Design of a biped robot actuated by pneumatic artificial muscles.

    Science.gov (United States)

    Liu, Yixiang; Zang, Xizhe; Liu, Xinyu; Wang, Lin

    2015-01-01

    High compliant legs are essential for the efficient versatile locomotion and shock absorbency of humans. This study proposes a biped robot actuated by pneumatic artificial muscles to mimic human locomotion. On the basis of the musculoskeletal architecture of human lower limbs, each leg of the biped robot is modeled as a system of three segments, namely, hip joint, knee joint, and ankle joint, and eleven muscles, including both monoarticular and biarticular muscles. Each rotational joint is driven by a pair of antagonistic muscles, enabling joint compliance to be tuned by operating the pressure inside the muscles. Biarticular muscles play an important role in transferring power between joints. Walking simulations verify that biarticular muscles contribute to joint compliance and can absorb impact energy when the robot makes an impact upon ground contact.

  19. Input torque sensitivity to uncertain parameters in biped robot

    Science.gov (United States)

    Ding, Chang-Tao; Yang, Shi-Xi; Gan, Chun-Biao

    2013-06-01

    Input torque is themain power to maintain bipedal walking of robot, and can be calculated from trajectory planning and dynamic modeling on biped robot. During bipedal walking, the input torque is usually required to be adjusted due to some uncertain parameters arising from objective or subjective factors in the dynamical model to maintain the pre-planned stable trajectory. Here, a planar 5-link biped robot is used as an illustrating example to investigate the effects of uncertain parameters on the input torques. Kinematic equations of the biped robot are firstly established by the third-order spline curves based on the trajectory planning method, and the dynamic modeling is accomplished by taking both the certain and uncertain parameters into account. Next, several evaluation indices on input torques are introduced to perform sensitivity analysis of the input torque with respect to the uncertain parameters. Finally, based on the Monte Carlo simulation, the values of evaluation indices on input torques are presented, from which all the robot parameters are classified into three categories, i.e., strongly sensitive, sensitive and almost insensitive parameters.

  20. A Control Method Based on Modal Transformation for Biped Robots to Climb Unknown Steps

    Science.gov (United States)

    Shimmyo, Shuhei; Nakazato, Miki; Mikami, Kei; Sato, Tomoya; Sakaino, Sho; Ohnishi, Kouhei

    This paper proposes a control method based on modal transformation for biped robots to climb unknown steps. This method is able to control the foot position of the biped robot and the ground reaction force acting in vertical direction when the biped robot climbs unknown steps in a double-support phase. The effectiveness of the proposed method is confirmed by simulation and experimental results.

  1. Adaptive Gait Pattern Generation of Biped Robot based on Human's Gait Pattern Analysis

    OpenAIRE

    Seungsuk Ha; Youngjoon Han; Hernsoo Hahn

    2007-01-01

    This paper proposes a method of adaptively generating a gait pattern of biped robot. The gait synthesis is based on human's gait pattern analysis. The proposed method can easily be applied to generate the natural and stable gait pattern of any biped robot. To analyze the human's gait pattern, sequential images of the human's gait on the sagittal plane are acquired from which the gait control values are extracted. The gait pattern of biped robot on the sagittal plane is adaptively generated by...

  2. Robust Robot Control Using Multiple Model-Based Policy Optimization and Fast Value Function-Based Planning

    Science.gov (United States)

    2014-03-01

    size 3D humanoid robot . They showed that optimal stepping trajectories and trajectory cost for a walking biped robot on rough terrain can be encoded as...controller for a full size 3D humanoid robot . We showed that optimal stepping trajectories and trajectory cost for a walking biped robot on rough terrain...stepping trajectories and trajectory cost for a walking biped robot on rough terrain can be encoded as simple quadratic functions of initial state and

  3. Visually-guided walking reference modification for humanoid robots

    OpenAIRE

    Fidan, Kaan Can

    2012-01-01

    Humanoid robots are expected to assist humans in the future. As for any robot with mobile characteristics, autonomy is an invaluable feature for a humanoid interacting with its environment. Autonomy, along with components from artificial intelligence, requires information from sensors. Vision sensors are widely accepted as the source of richest information about the surroundings of a robot. Visual information can be exploited in tasks ranging from object recognition, localization and manipula...

  4. A Control of Biped Robot which Applies Inverted Pendulum Mode with Virtual Supporting Point

    OpenAIRE

    辻, 俊明; 大西, 公平; TSUJI, Toshiaki; OHNISHI, Kouhei

    2002-01-01

    We applied the inverted pendulum mode to the control of a biped robot in order to plan a trajectory in real time. Though the inverted pendulum mode is useful to plan a trajectory, the stability margin of a biped robot is very narrow because of its structural limit. Virtual supporting point (VSP), a new indicator of biped robot control, is suggested with a view to broaden the stability margin of biped robot. Walking parameters could be adjusted by setting VSP without changing other parameters....

  5. Control method for biped locomotion robots based on ZMP information

    Energy Technology Data Exchange (ETDEWEB)

    Kume, Etsuo [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment

    1994-01-01

    The Human Acts Simulation Program (HASP) started as a ten year program of Computing and Information Systems Center (CISC) at Japan Atomic Energy Research Institute (JAERI) in 1987. A mechanical design study of biped locomotion robots for patrol and inspection in nuclear facilities is being performed as an item of the research scope. One of the goals of our research is to design a biped locomotion robot for practical use in nuclear facilities. So far, we have been studying for several dynamic walking patterns. In conventional control methods for biped locomotion robots, the program control is used based on preset walking patterns, so it dose not have the robustness such as a dynamic change of walking pattern. Therefore, a real-time control method based on dynamic information of the robot states is necessary for the high performance of walking. In this study a new control method based on Zero Moment Point (ZMP) information is proposed as one of real-time control methods. The proposed method is discussed and validated based on the numerical simulation. (author).

  6. Stability Index for Biped Robot Moving on Rough Terrain

    Science.gov (United States)

    Sato, Tomoya; Sakaino, Sho; Ohnishi, Kouhei

    In this paper, a stability index based on the ZMP (zero-moment point) for biped robots moving on rough terrain is proposed. The proposed method projects a support polygon on to a virtual plane and sets a virtual ZMP on it. In rough terrain, using the proposed method, stability check and trajectory planning are able to be treated as the case of flat terrain. The validity of the proposed method was confirmed by some simulations and experiments.

  7. Obstacle Avoidance in Groping Locomotion of a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Masahiro Ohka

    2008-11-01

    Full Text Available This paper describes the development of an autonomous obstacle-avoidance method that operates in conjunction with groping locomotion on the humanoid robot Bonten-Maru II. Present studies on groping locomotion consist of basic research in which humanoid robot recognizes its surroundings by touching and groping with its arm on the flat surface of a wall. The robot responds to the surroundings by performing corrections to its orientation and locomotion direction. During groping locomotion, however, the existence of obstacles within the correction area creates the possibility of collisions. The objective of this paper is to develop an autonomous method to avoid obstacles in the correction area by applying suitable algorithms to the humanoid robot's control system. In order to recognize its surroundings, six-axis force sensors were attached to both robotic arms as end effectors for force control. The proposed algorithm refers to the rotation angle of the humanoid robot's leg joints due to trajectory generation. The algorithm relates to the groping locomotion via the measured groping angle and motions of arms. Using Bonten-Maru II, groping experiments were conducted on a wall's surface to obtain wall orientation data. By employing these data, the humanoid robot performed the proposed method autonomously to avoid an obstacle present in the correction area. Results indicate that the humanoid robot can recognize the existence of an obstacle and avoid it by generating suitable trajectories in its legs.

  8. Motion synthesis and force distribution analysis for a biped robot.

    Science.gov (United States)

    Trojnacki, Maciej T; Zielińska, Teresa

    2011-01-01

    In this paper, the method of generating biped robot motion using recorded human gait is presented. The recorded data were modified taking into account the velocity available for robot drives. Data includes only selected joint angles, therefore the missing values were obtained considering the dynamic postural stability of the robot, which means obtaining an adequate motion trajectory of the so-called Zero Moment Point (ZMT). Also, the method of determining the ground reaction forces' distribution during the biped robot's dynamic stable walk is described. The method was developed by the authors. Following the description of equations characterizing the dynamics of robot's motion, the values of the components of ground reaction forces were symbolically determined as well as the coordinates of the points of robot's feet contact with the ground. The theoretical considerations have been supported by computer simulation and animation of the robot's motion. This was done using Matlab/Simulink package and Simulink 3D Animation Toolbox, and it has proved the proposed method.

  9. Reverse control for humanoid robot task recognition.

    Science.gov (United States)

    Hak, Sovannara; Mansard, Nicolas; Stasse, Olivier; Laumond, Jean Paul

    2012-12-01

    Efficient methods to perform motion recognition have been developed using statistical tools. Those methods rely on primitive learning in a suitable space, for example, the latent space of the joint angle and/or adequate task spaces. Learned primitives are often sequential: A motion is segmented according to the time axis. When working with a humanoid robot, a motion can be decomposed into parallel subtasks. For example, in a waiter scenario, the robot has to keep some plates horizontal with one of its arms while placing a plate on the table with its free hand. Recognition can thus not be limited to one task per consecutive segment of time. The method presented in this paper takes advantage of the knowledge of what tasks the robot is able to do and how the motion is generated from this set of known controllers, to perform a reverse engineering of an observed motion. This analysis is intended to recognize parallel tasks that have been used to generate a motion. The method relies on the task-function formalism and the projection operation into the null space of a task to decouple the controllers. The approach is successfully applied on a real robot to disambiguate motion in different scenarios where two motions look similar but have different purposes.

  10. The Development of a Hybrid Underwater Micro Biped Robot

    Directory of Open Access Journals (Sweden)

    S. Guo

    2006-01-01

    Full Text Available There has been a great demand, in the medical field and in industrial applications, for a novel micro biped robot with multiple degrees of freedom that can swim smoothly in water or in aqueous medium. The fish-like micro-robot studied is a type of miniature device that is installed with sensing and actuating elements. This article describes the new structure and motion mechanism of a hybrid type of underwater micro-robot using an ion-conducting polymer film (ICPF actuator, and discusses the swimming and floating characteristics of the micro-robot in water, measured by changing the voltage frequency and the amplitude of the input voltage. Results indicate that the swimming speed of the proposed underwater micro-robot can be controlled by changing the frequency of the input voltage, and the direction (upward or downward can be manipulated by changing the frequency of the electric current applied and the amplitude of the voltage.

  11. Development of a neuromorphic control system for a lightweight humanoid robot

    Science.gov (United States)

    Folgheraiter, Michele; Keldibek, Amina; Aubakir, Bauyrzhan; Salakchinov, Shyngys; Gini, Giuseppina; Mauro Franchi, Alessio; Bana, Matteo

    2017-03-01

    A neuromorphic control system for a lightweight middle size humanoid biped robot built using 3D printing techniques is proposed. The control architecture consists of different modules capable to learn and autonomously reproduce complex periodic trajectories. Each module is represented by a chaotic Recurrent Neural Network (RNN) with a core of dynamic neurons randomly and sparsely connected with fixed synapses. A set of read-out units with adaptable synapses realize a linear combination of the neurons output in order to reproduce the target signals. Different experiments were conducted to find out the optimal initialization for the RNN’s parameters. From simulation results, using normalized signals obtained from the robot model, it was proven that all the instances of the control module can learn and reproduce the target trajectories with an average RMS error of 1.63 and variance 0.74.

  12. Analysis of double support phase of biped robot and multi-objective ...

    Indian Academy of Sciences (India)

    Analysis and optimization of double support phase of biped robot. 551 they proposed the existence of virtual ZMP for dynamic stable walking and the same was proved by solving numerical examples related to walking on some staircases. A few studies dealt with intelligent control of biped robots also, some of those studies ...

  13. Balancing Theory and Practical Work in a Humanoid Robotics Course

    Science.gov (United States)

    Wolff, Krister; Wahde, Mattias

    2010-01-01

    In this paper, we summarize our experiences from teaching a course in humanoid robotics at Chalmers University of Technology in Goteborg, Sweden. We describe the robotic platform used in the course and we propose the use of a custom-built robot consisting of standard electronic and mechanical components. In our experience, by using standard…

  14. Biped walking robot based on a 2-UPU+2-UU parallel mechanism

    Science.gov (United States)

    Miao, Zhihuai; Yao, Yan'an; Kong, Xianwen

    2014-03-01

    Existing biped robots mainly fall into two categories: robots with left and right feet and robots with upper and lower feet. The load carrying capability of a biped robot is quite limited since the two feet of a walking robot supports the robot alternatively during walking. To improve the load carrying capability, a novel biped walking robot is proposed based on a 2-UPU+2-UU parallel mechanism. The biped walking robot is composed of two identical platforms(feet) and four limbs, including two UPU(universal-prismatic-universal serial chain) limbs and two UU limbs. To enhance its terrain adaptability like articulated vehicles, the two feet of the biped walking robot are designed as two vehicles in detail. The conditions that the geometric parameters of the feet must satisfy are discussed. The degrees-of-freedom of the mechanism is analyzed by using screw theory. Gait analysis, kinematic analysis and stability analysis of the mechanism are carried out to verify the structural design parameters. The simulation results validate the feasibility of walking on rugged terrain. Experiments with a physical prototype show that the novel biped walking robot can walk stably on smooth terrain. Due to its unique feet design and high stiffness, the biped walking robot may adapt to rugged terrain and is suitable for load-carrying.

  15. Trajectory Planning and Walking Pattern Generation of Humanoid Robot Motion

    Directory of Open Access Journals (Sweden)

    Saeed Abdolshah

    2014-12-01

    Full Text Available Walking trajectory generation for a humanoid robot is a challenging control  issue. In this paper, a walking cycle has been recognized considering human motion, and nine simple steps were distinguished in a full step of walking which form motion trajectory, and generates a simplified ZMP motion formulation. This system was used in humanoid robot simulation motion and is achievable easily in walking steps of robot. A minimum DOFs humanoid robot has been considered and geometrical relationships between the robot links were presented by the Denavit-Hartenberg method. The inverse kinematics equations have been solved regarding to extracted ZMP trajectory formula, and constraints in different steps. As a result; angular velocity, acceleration and power of motors were obtained using the relationships and Jacobin. At each step, extracted data were applied on simulated robot in Matlab, and Visual Nastran software. Zero moment point trajectory was evaluated in simulation environment.

  16. Fabrication of four-point biped robot foot module based on contact-resistance force sensor and its evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Kwon, Hyun Joon; Kim, Jong Ho; Kim, Dong Ki [Korea Research Institute of Standards and Science, Daejeon (Korea, Republic of); Kwon, Young Ha [Kyung Hee University, Yongin (Korea, Republic of)

    2011-02-15

    This paper presents the design of robot foot module of four-point biped walking robot and its fabrication. The foot module has four sensor units based on contact-resistance force sensor. The thin-film-type force sensor is fabricated by coating resistive ink on thin polyimide film using silk screening technique. The simple structure is devised and fabricated to assemble the thin force sensor rigidly. The unit force sensor module is evaluated by the calibration setup to obtain the characteristics of repeatability and hysteresis. The sensor module presents hysteresis error of about 5% and repeatability error of about 0.37%. The calculated zero moment point (ZMP) of the foot module is also compared with the measured position using static load of 50 N. The maximum location error of ZMP is less than 10%. The robot foot module shows the possibility of applying it to humanoid walking.

  17. Fabrication of four-point biped robot foot module based on contact-resistance force sensor and its evaluation

    International Nuclear Information System (INIS)

    Kwon, Hyun Joon; Kim, Jong Ho; Kim, Dong Ki; Kwon, Young Ha

    2011-01-01

    This paper presents the design of robot foot module of four-point biped walking robot and its fabrication. The foot module has four sensor units based on contact-resistance force sensor. The thin-film-type force sensor is fabricated by coating resistive ink on thin polyimide film using silk screening technique. The simple structure is devised and fabricated to assemble the thin force sensor rigidly. The unit force sensor module is evaluated by the calibration setup to obtain the characteristics of repeatability and hysteresis. The sensor module presents hysteresis error of about 5% and repeatability error of about 0.37%. The calculated zero moment point (ZMP) of the foot module is also compared with the measured position using static load of 50 N. The maximum location error of ZMP is less than 10%. The robot foot module shows the possibility of applying it to humanoid walking

  18. A survey report for the design of biped locomotion robot: the WL-12 (Waseda Leg-12)

    Energy Technology Data Exchange (ETDEWEB)

    Takanishi, Atsuo; Kato, Ichiro [Waseda Univ., Tokyo (Japan); Kume, Etsuo

    1991-11-01

    A mechanical design study of biped locomotion robots is going on at JAERI within the scope of the Human Acts Simulation Program (HASP). The design study at JAERI is of an arbitrarily mobile robot for inspection of nuclear facilities. A survey has been performed for collecting useful information from already existing biped locomotion robots. This is a survey report of the biped locomotion robot: the WL-12 designed and developed at Waseda University. This report includes the mechanical model and control system designs. (author).

  19. Sensory Integration with Articulated Motion on a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    J. Rojas

    2005-01-01

    Full Text Available This paper describes the integration of articulated motion with auditory and visual sensory information that enables a humanoid robot to achieve certain reflex actions that mimic those of people. Reflexes such as reach-and-grasp behavior enables the robot to learn, through experience, its own state and that of the world. A humanoid robot with binaural audio input, stereo vision, and pneumatic arms and hands exhibited tightly coupled sensory-motor behaviors in four different demonstrations. The complexity of successive demonstrations was increased to show that the reflexive sensory-motor behaviors combine to perform increasingly complex tasks. The humanoid robot executed these tasks effectively and established the groundwork for the further development of hardware and software systems, sensory-motor vector-space representations, and coupling with higher-level cognition.

  20. Development of Lifting and Propulsion Mechanism for Biped Robot Inspired by Basilisk Lizards

    Directory of Open Access Journals (Sweden)

    Linsen Xu

    2013-01-01

    Full Text Available The lifting and propulsion mechanism of a novel biped robot inspired by the basilisk lizard's water-walking function has been developed. The movement trajectories of the Watt-I planar linkage are brought out by combining the movement equations of the four-bar mechanism and the coordinate transformation equations, which are used to simulate the foot trajectories of the basilisk lizard, and the lifting and propulsion mechanism of the biped robot walking on water is carried out. The links' parameters are optimized by taking the trajectories overlap ratio as the objective function. The prototype of the biped robot walking on water is manufactured by the results of the kinematic analysis on the robot. And the lifting and propulsion force curve on the robot from water is measured. The experiment results show that the lifting and propulsion system can satisfy the function requirement of the biped robot walking on water.

  1. Gait Generation for a Small Biped Robot using Approximated Optimization Method

    Science.gov (United States)

    Nguyen, Tinh; Tao, Linh; Hasegawa, Hiroshi

    2016-11-01

    This paper proposes a novel approach for gait pattern generation of a small biped robot to enhance its walking behavior. This is to aim to make the robot gait more natural and more stable in the walking process. In this study, we mention the approximated optimization method which applied the Differential Evolution algorithm (DE) to objective function approximated by Artificial Neural Network (ANN). In addition, we also present a new humanlike foot structure with toes for the biped robot in this paper. To evaluate this method achievement, the robot was simulated by multi-body dynamics simulation software, Adams (MSC software, USA). As a result, we confirmed that the biped robot with the proposed foot structure can walk naturally. The approximated optimization method based on DE algorithm and ANN is an effective approach to generate a gait pattern for the locomotion of the biped robot. This method is simpler than the conventional methods using Zero Moment Point (ZMP) criterion.

  2. Constrained Quadratic Programming and Neurodynamics-Based Solver for Energy Optimization of Biped Walking Robots

    Directory of Open Access Journals (Sweden)

    Liyang Wang

    2017-01-01

    Full Text Available The application of biped robots is always trapped by their high energy consumption. This paper makes a contribution by optimizing the joint torques to decrease the energy consumption without changing the biped gaits. In this work, a constrained quadratic programming (QP problem for energy optimization is formulated. A neurodynamics-based solver is presented to solve the QP problem. Differing from the existing literatures, the proposed neurodynamics-based energy optimization (NEO strategy minimizes the energy consumption and guarantees the following three important constraints simultaneously: (i the force-moment equilibrium equation of biped robots, (ii frictions applied by each leg on the ground to hold the biped robot without slippage and tipping over, and (iii physical limits of the motors. Simulations demonstrate that the proposed strategy is effective for energy-efficient biped walking.

  3. Robotic Literacy Learning Companions: Exploring Student Engagement with a Humanoid Robot in an Afterschool Literacy Program

    Science.gov (United States)

    Levchak, Sofia

    2016-01-01

    This study was an investigation of the use of a NAO humanoid robot as an effective tool for engaging readers in an afterschool program as well as to find if increasing engagement using a humanoid robot would affect students' reading comprehension when compared to traditional forms of instruction. The targeted population of this study was…

  4. Dynamic control of biped locomotion robot using optimal regulator

    Energy Technology Data Exchange (ETDEWEB)

    Sano, Akihito; Furusho, Junji

    1988-08-01

    For moving in indoor space, it is generally recognized that biped locomotion is suitable. This paper proposes a hierarchical control strategy for the lower level where the position control or the force control at each joint is implemented. In the upper level control, the robot motion is divided into a sagittal plane and a lateral plane. We applied the optimal control algorithm to the motion control in the lateral plane in order to improve the robustness of the control system. The effects of these control schemes are shown by the experiments using the new walking robot BLR-G 1 and the parallel calculation system. BLR-G 1 has 9 degrees of freedom and equips the foot-pressure-sensors and a rate gyroscope. Complete dynamic walking is realized, in which the cycle for each step is about 1.0 second.

  5. LARM PKM solutions for torso design in humanoid robots

    Science.gov (United States)

    Ceccarelli, Marco

    2014-12-01

    Human-like torso features are essential in humanoid robots. In this paper problems for design and operation of solutions for a robotic torso are discussed by referring to experiences and designs that have been developed at Laboratory of Robotics and Mechatronics (LARM) in Cassino, Italy. A new solution is presented with conceptual views as waist-trunk structure that makes a proper partition of the performance for walking and arm operations as sustained by a torso.

  6. Toward Speech and Nonverbal Behaviors Integration for Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Wei Wang

    2012-09-01

    Full Text Available It is essential to integrate speeches and nonverbal behaviors for a humanoid robot in human-robot interaction. This paper presents an approach using multi-object genetic algorithm to match the speeches and behaviors automatically. Firstly, with humanoid robot's emotion status, we construct a hierarchical structure to link voice characteristics and nonverbal behaviors. Secondly, these behaviors corresponding to speeches are matched and integrated into an action sequence based on genetic algorithm, so the robot can consistently speak and perform emotional behaviors. Our approach takes advantage of relevant knowledge described by psychologists and nonverbal communication. And from experiment results, our ultimate goal, implementing an affective robot to act and speak with partners vividly and fluently, could be achieved.

  7. Whole-body impedance control of wheeled humanoid robots

    CERN Document Server

    Dietrich, Alexander

    2016-01-01

    Introducing mobile humanoid robots into human environments requires the systems to physically interact and execute multiple concurrent tasks. The monograph at hand presents a whole-body torque controller for dexterous and safe robotic manipulation. This control approach enables a mobile humanoid robot to simultaneously meet several control objectives with different pre-defined levels of priority, while providing the skills for compliant physical contacts with humans and the environment. After a general introduction into the topic of whole-body control, several essential reactive tasks are developed to extend the repertoire of robotic control objectives. Additionally, the classical Cartesian impedance is extended to the case of mobile robots. All of these tasks are then combined and integrated into an overall, priority-based control law. Besides the experimental validation of the approach, the formal proof of asymptotic stability for this hierarchical controller is presented. By interconnecting the whole-body ...

  8. A discrete mechanics approach to gait generation for the compass-type biped robot

    Science.gov (United States)

    Kai, Tatsuya; Shintani, Takeshi

    In this paper, we develop a new approach based on discrete mechanics to a gait generation problem for the compass-type biped robot. First, both continuous-time and discrete-time models of the compass-type biped robot are derived. We next formulate a discrete gait generation problem for the discrete compass-type biped robot as a finite dimensional nonlinear optimal control problem and show an algorithm to solve the problem based on the sequential quadratic programming. Then, we propose a transformation method that converts a discrete-time control input into a continuous-time zero-order hold one and apply it to gait generation for the continuous compass-type biped robot. Some simulations are also shown in order to verify the effectiveness of our new approach.

  9. Knee Stretch Walking Method for Biped Robot: Using Toe and Heel Joints to Increase Walking Strides

    Science.gov (United States)

    Sato, Takahiko; Shimmyo, Shuhei; Nakazato, Miki; Mikami, Kei; Sato, Tomoya; Sakaino, Sho; Ohnishi, Kouhei

    This paper proposes a knee stretch walking method for biped robots; the method involves the use of the toes and heel joints to increase walking strides. A knee can be stretched by switching control variables. By a knee stretch walking with heel contacts to the ground and toe takeoffs from the ground, biped robots can increase their walking stride and speed. The validity of the proposed method is confirmed by simulation and experimental results.

  10. Real-Time Step Length Control Method for a Biped Robot

    Science.gov (United States)

    Aiko, Takahiro; Ohnishi, Kouhei

    In this paper, the real-time step length control method for a biped robot is proposed. In human environment, it is necessary for a biped robot to change its gait on real-time since it is required to walk according to situations. By use of the proposed method, the center-of-gravity trajectory and swing leg trajectory were generated on real-time with that its command value is the step length. For generating the center-of-gravity trajectory, we develop Linear Inverted Pendulum Mode and additionally consider walking stability by ZMP. In order to demonstrate the proposed method, the simulation and experiment of a biped walk is performed.

  11. Perception and estimation challenges for humanoid robotics: DARPA Robotics Challenge and NASA Valkyrie

    Science.gov (United States)

    Fallon, Maurice

    2016-10-01

    This paper describes ongoing work at the University of Edinburgh's Humanoid Robotics Project. University of Edinburgh have formed a collaboration with the United States' National Aeronautics and Space Administration (NASA) around their R5 humanoid robot commonly known as Valkyrie. Also involved are MIT, Northeastern University and the Florida Institute for Human and Machine Cognition (IHMC) as part of NASA's Space Robotics Challenge. We will outline the development of state estimation and localization algorithms being developed for Valkyrie.

  12. The control system for the Honda humanoid robot.

    Science.gov (United States)

    Takenaka, Toru

    2006-09-01

    To avoid tipping over either during walking or on standing up, humans will first push down hard on the ground with a part of the sole of the foot. Then, when the tipping force can no longer be resisted, a change in body position or an extra step (stepping out) may be required to stabilise the posture. Our biped robot's control system attempts to reproduce and execute the same postural control operations carried out by humans. In this article, we present the history of robot development at Honda, fundamental dynamics for robots and the principles of posture control.

  13. Walking Stabilization Control Using Virtual Plane Method for Biped Robots

    Science.gov (United States)

    Sato, Tomoya; Sakaino, Sho; Ohnishi, Kouhei

    In this paper, a method for walking stabilization control using a virtual plane method for up-down motion of biped robots is proposed. In the case of the up-down motion in whitch the height of the center of gravity (COG) is not constant, the Zero-Moment Point (ZMP) equation that shows the relation between the ZMP and the COG becomes linear time-variant. Using the proposed method, the ZMP equation is transformed into linear time-invariant. Therefore, the frequency analysis and parameter design of the walking stabilization control can be implemented easily even in the up-down motion. The validity of the proposed method was confirmed by some simulations and experiments.

  14. Humanoid Robotics: Real-Time Object Oriented Programming

    Science.gov (United States)

    Newton, Jason E.

    2005-01-01

    Programming of robots in today's world is often done in a procedural oriented fashion, where object oriented programming is not incorporated. In order to keep a robust architecture allowing for easy expansion of capabilities and a truly modular design, object oriented programming is required. However, concepts in object oriented programming are not typically applied to a real time environment. The Fujitsu HOAP-2 is the test bed for the development of a humanoid robot framework abstracting control of the robot into simple logical commands in a real time robotic system while allowing full access to all sensory data. In addition to interfacing between the motor and sensory systems, this paper discusses the software which operates multiple independently developed control systems simultaneously and the safety measures which keep the humanoid from damaging itself and its environment while running these systems. The use of this software decreases development time and costs and allows changes to be made while keeping results safe and predictable.

  15. Social humanoid robot SARA: development of the wrist mechanism

    Science.gov (United States)

    Penčić, M.; Rackov, M.; Čavić, M.; Kiss, I.; Cioată, V. G.

    2018-01-01

    This paper presents the development of a wrist mechanism for humanoid robots. The research was conducted within the project which develops social humanoid robot Sara - a mobile anthropomorphic platform for researching the social behaviour of robots. There are two basic ways for the realization of humanoid wrist. The first one is based on biologically inspired structures that have variable stiffness, and the second one on low backlash mechanisms that have high stiffness. Our solution is low backlash differential mechanism that requires small actuators. Based on the kinematic-dynamic requirements, a dynamic model of the robot wrist is formed. A dynamic simulation for several hand positions was performed and the driving torques of the wrist mechanism were determined. The realized wrist has 2 DOFs and enables movements in the direction of flexion/extension 115°, ulnar/radial deviation ±45° and the combination of these two movements. It consists of a differential mechanism with three spur bevel gears, two of which are driving and identical, while the last one is the driven gear to which the robot hand is attached. Power transmission and motion from the actuator to the input links of the differential mechanism is realized with two parallel placed identical gear mechanisms. The wrist mechanism has high carrying capacity and reliability, high efficiency, a compact design and low backlash that provides high positioning accuracy and repeatability of movements, which is essential for motion control.

  16. The Effect of Foot Structure on Locomotion of a Small Biped Robot

    Directory of Open Access Journals (Sweden)

    Nguyen Tinh

    2017-01-01

    Full Text Available This paper is a presentation of a work that consists of considering a novel foot structure for biped robot inspired by human foot. The specific objective is to develop a foot mechanism with human-like toes for a small biped robot. The chosen architecture to present the biped includes ten degrees of freedom (DoF on ten articulations between eleven links. Our study considers the effect of varying foot structure on a walking process of the robot in simulation by ADAMS (MSC software, USA through gait generation method. In toe mechanism, aiming to reduce the energy consumption, the passive joint was selected as the toe joint. The center of gravity (CoG point trajectories of the robot with varying toe is compared with each other in normal motion on flat terrain to determine the most consistent toe mechanism. The result shows that the selected foot structure enables the robot to walk stably and naturally.

  17. A survey report for the biped locomotion robot compensating three-axis moment

    Energy Technology Data Exchange (ETDEWEB)

    Kato, Ichiro; Takanishi, Atsuo [Waseda Univ., Tokyo (Japan); Kume, Etsuo

    1994-10-01

    A dynamic walking simulation of biped locomotion robots based on the Zero Moment Point (ZMP) criterion is being conducted at JAERI. The ZMP criterion to obtain the stable walking patterns is that respective sums of moments around pitch-axis and roll-axis which act on the robot are equal to zero. So far, as for the rest moment around yaw-axis, the moment is balanced to frictional force, assuming that the frictional force between robot`s sole and floor is sufficiently large in our study. According to a recent paper, however, slipping around yaw-axis between robot`s sole and floor has occurred as the walking speed becomes faster, and the slipping has made the walking unstable. So influence of this moment can not be ignored for the fast walking. A survey has been performed for collecting relevant information from already existing biped locomotion robots. This is a survey report for the biped locomotion robot compensating three-axis moment by a trunk motion: the WL-12RV designed and developed at Waseda University. The WL-12RV has been realized 1.5 times as fast as dynamic walking compared with a biped locomotion robot compensating two-axis moment (e.g. WL-12RIV). This report includes the machine model, control method and results of walking experiments of the WL-12RV. (author).

  18. Control of a Biped Robot by Total Rate of Angular Momentum Using the Task Function Approach

    Directory of Open Access Journals (Sweden)

    J. A. Rojas-Estrada

    2005-01-01

    Full Text Available In this work we address the control problem of biped robots by using the task function approach. A problem arrives when one of the feet is in contact with the ground, which presents imperfections. There is then the possibility that the biped robot undergoes a fall. It is difficult to track any trajectory due to the presence of unevenness on the ground. What we propose is to use the task function approach combined with the application of the total rate of angular momentum to obtain a control law for the ankle. By this technique, the tracking becomes more smooth and the balance is assured. The control law proposed allows the upper part of the robot to be controlled independently since only the ankle actuators are concerned. We enounce the formal problem and present some simulations with real parameters of a 21 degrees of freedom biped robot.

  19. Gait Control for Redundant Legged Biped Robot at Constant Velocity and Constant Height of the Waist

    Science.gov (United States)

    Shima, Ryoichi; Haishi, Masahiko; Shibata, Masaaki

    In this paper, we propose a gait control method for redundant legged biped robot based on leg center of mass (COM) position control at constant velocity and constant height of the waist. The developed biped robot has redundant legs, which have 4 degree-of-freedoms (DOFs) on each in the saggital plane. The redundant DOF enables to move its leg tip position and its leg COM position independently. Therefore proposed robot has structural capability to control the leg COM position for keeping the projection of the total COM inside the support polygon without upper body motion. Such capability enables the stable static walk in the arbitrarily desired velocity and height of the waist motion. The validity of the proposed method for the static walk at constant velocity and constant height of the waist in the leg COM position control for redundant legged biped robot is confirmed by several results of simulation and experiment.

  20. Stepping Forward Action for Biped Robot Based on Acceleration Control of the Center of Mass

    Science.gov (United States)

    Suzuki, Kazuki; Tasaki, Go; Shibata, Masaaki

    In this paper, we propose a novel approach for stepping forward action of biped robot with minimum kicking force. In walking or starting to walk, the general biped robot kicks the ground with its own hind leg as well as human being does. The condition of the ground often restricts the gait because of stiffness, slipperiness and so on. In order to surmount the difficulty on stepping forward action, we introduce the redundant legged biped robot, which has 4 degree-of-freedoms on each leg. Our robot enables to move its tip position and its center of mass (COM) position independently. Controlling COM acceleration without moving its tip position realizes the stepping forward action with little kicking force. The physical experimental results show the significant validity of the proposed approach.

  1. Generation of an Optimal Gait Trajectory for Biped Robots Using a Genetic Algorithm

    Science.gov (United States)

    Park, Jong Hyeon; Choi, Moosung

    This paper proposes a method that minimizes the energy consumption in the locomotion of a biped robot. A real-coded genetic algorithm is employed in order to search for the optimal locomotion pattern, and at the same time the optimal locations of the mass centers of the links that compose the biped robot. Since many of the essential characteristics of the human walking motion can be captured with a seven-link planar biped walking in the saggital plane, a 6-DOF biped robot that consists of seven links is used as the model used in the work. For trajectories of the robot in a single stride, fourth-order polynomials are used as their basis functions to approximate the locomotion gait. The coefficients of the polynomials are defined as design variables. For the optimal locations of the mass centers of the links, three variables are added to the design variables under the assumption that the left and right legs are identical. Simulations were performed to compare locomotion trajectories obtained with the genetic algorithm and the one obtained with the gravity-compensated inverted pendulum mode (GCIPM). They show that the proposed trajectory with the optimized mass centers significantly reduces the energy consumption, indicating that the proposed optimized method is a valuable tool in the design of biped robots.

  2. Analysis of double support phase of biped robot and multi-objective ...

    Indian Academy of Sciences (India)

    Thus, dynamic balance margin of the biped robot during its double support phase is obtained by using a virtual zero-moment point of the system. Moreover, a smooth transition from single to double support phases in a cycle is to be maintained for the walking robots. Two contrasting objectives, namely power consumption ...

  3. Cognitive Tools for Humanoid Robots in Space

    National Research Council Canada - National Science Library

    Sofge, Donald; Perzanowski, Dennis; Skubic, Marjorie; Bugajska, Magdalena; Trafton, J. G; Cassimatis, Nicholas; Brock, Derek; Adams, William; Schultz, Alan

    2004-01-01

    .... The key to achieving this interaction is to provide the robot with sufficient skills for natural communication with humans so that humans can interact with the robot almost as though it were another human...

  4. NUClear: A Loosely Coupled Software Architecture for Humanoid Robot Systems

    Directory of Open Access Journals (Sweden)

    Trent eHouliston

    2016-04-01

    Full Text Available This paper discusses the design and interface of NUClear, a new hybrid message-passing architecture for embodied humanoid robotics. NUClear is modular, low latency and promotes functional and expandable software design. It greatly reduces the latency for messages passed between modules as the messages routes are established at compile time. It also reduces the number of functions that must be written using a system called co-messages which aids in dealing with multiple simultaneous data. NUClear has primarily been evaluated on a humanoid robotic soccer platform and on a robotic boat platform, with evaluations showing that NUClear requires fewer callbacks and cache variables over existing message-passing architectures. NUClear does have limitations when applying these techniques on multi-processed systems. It performs best in lower power systems where computational resources are limited. Future work will focus on applying the architecture to new platforms, including a larger form humanoid platform and a virtual reality platform and further evaluating the impact of the novel techniques introduced.

  5. FPGA for Robotic Applications: from Android/Humanoid Robots to Artificial Men

    Directory of Open Access Journals (Sweden)

    Tole Sutikno

    2011-12-01

    Full Text Available Researches on home robots have been increasing enormously. There has always existed a continuous research effort on problems of anthropomorphic robots which is now called humanoid robots. Currently, robotics has evolved to the point that different branches have reached a remarkable level of maturity, that neural network and fuzzy logic are the main artificial intelligence as intelligent control on the robotics. Despite all this progress, while aiming at accomplishing work-tasks originally charged only to humans, robotic science has perhaps quite naturally turned into the attempt to create artificial men. It is true that artificial men or android humanoid robots open certainly very broad prospects. This “robot” may be viewed as a personal helper, and it will be called a home-robot, or personal robot. This is main reason why the two special sections are issued in the TELKOMNIKA sequentially.

  6. The Mechanism of Yaw Torque Compensation in the Human and Motion Design for Humanoid Robots

    Directory of Open Access Journals (Sweden)

    Si Zhang

    2013-01-01

    Full Text Available When a humanoid robot walks fast or runs, the yaw torque is so large that the supporting foot slips easily and the robot may become unstable. The compensation for the yaw torque is important for fast humanoid walking and many studies have been focusing on yaw torque compensation. However, the issue of humanoid robot motion design that can make the movements of the robot more human-like, as well as guarantee the stability of the robot, has not been studied in-depth. In this paper, the mechanism of yaw torque compensating for human walking is firstly studied. Then we propose a method to compensate yaw torque for a humanoid robot through the motion of the arms and waist joint based on the human yaw torque compensation mechanism and ZMP stability citation. Finally, the effectiveness of the proposed method is demonstrated by the results from the simulation and walking experiments on the newly developed BHR humanoid robot.

  7. Walking control of a biped robot by impedance control; Impedance seigyo ni yoru nisoku hoko robot no hoko seigyo

    Energy Technology Data Exchange (ETDEWEB)

    Sorao, K.; Murakami, T.; Onishi, K. [Keio Univ., Tokyo (Japan)

    1997-09-20

    In this paper, a robust impedance control scheme is used to control a biped locomotion in saggital plane. In particular, the torque observer is introduced and external-force feedback is achieved without force sensor. By the reaction force feedback, the stability of the biped robot increase at the contact of the swing leg and the arbitral impedance control is realized without force sensor. The walking trajectory reference is created from the virtual inverse pendulum model. Simulation and experimental results also show that the effect of the collision between biped leg and the ground is eased and by the proposed control method, the biped robot recover more quickly than the traditional robust position control. 10 refs., 15 figs., 1 tab.

  8. Visual perception system and method for a humanoid robot

    Science.gov (United States)

    Wells, James W. (Inventor); Mc Kay, Neil David (Inventor); Chelian, Suhas E. (Inventor); Linn, Douglas Martin (Inventor); Wampler, II, Charles W. (Inventor); Bridgwater, Lyndon (Inventor)

    2012-01-01

    A robotic system includes a humanoid robot with robotic joints each moveable using an actuator(s), and a distributed controller for controlling the movement of each of the robotic joints. The controller includes a visual perception module (VPM) for visually identifying and tracking an object in the field of view of the robot under threshold lighting conditions. The VPM includes optical devices for collecting an image of the object, a positional extraction device, and a host machine having an algorithm for processing the image and positional information. The algorithm visually identifies and tracks the object, and automatically adapts an exposure time of the optical devices to prevent feature data loss of the image under the threshold lighting conditions. A method of identifying and tracking the object includes collecting the image, extracting positional information of the object, and automatically adapting the exposure time to thereby prevent feature data loss of the image.

  9. Realization of a Biped Robot Lower Limb Walking without Double Support Phase on Uneven Terrain

    Directory of Open Access Journals (Sweden)

    Hai-yan Wang

    2013-01-01

    Full Text Available Zero moment point (ZMP is widely used in dynamical walking control of the biped robot, but it is hard to obtain the ZMP exactly. The paper describes a simple walking control method without using ZMP information directly. Firstly, the paper introduced a biped robot lower-limb prototype which is driven by linear hydraulic servocylinder. Then the paper simplifies the walking control in the lateral plane with a simple walking pattern generation method named “dynamic equilibrium method,” which is fit for active and underactuated biped robots. In the following section the paper provides the balance control methods without using ZMP information directly. Finally, simulation experiments with MD.DAMS and experiments in physical prototype are given. The experimental results confirm the effectiveness of the proposed control methods.

  10. The role of compliance in humans and humanoid robots locomotion

    OpenAIRE

    Hu, Yue

    2017-01-01

    We build robots that are meant to look and work like humans, with humans, inspired by humans. But many are the human characteristics that we have not yet understood, as humans are highly complex systems. One fundamental characteristic is compliance, which characterizes human movements. If our body was completely rigid, we would not be able to climb up trees or walk on mountainous paths as easily as we do. But despite being inspired to be a copy of human beings, humanoid robots had rigid li...

  11. Cognitive Tools for Humanoid Robots in Space

    National Research Council Canada - National Science Library

    Sofge, Donald; Perzanowski, Dennis; Skubic, Marjorie; Bugajska, Magdalena; Trafton, J. G; Cassimatis, Nicholas; Brock, Derek; Adams, William; Schultz, Alan

    2004-01-01

    ...) to collaborate with a human. The capabilities required of the robot include voice recognition, natural language understanding, gesture recognition, spatial reasoning, and cognitive modeling with perspective-taking...

  12. A Hybrid Method of Analyzing Patents for Sustainable Technology Management in Humanoid Robot Industry

    OpenAIRE

    Jongchan Kim; Joonhyuck Lee; Gabjo Kim; Sangsung Park; Dongsik Jang

    2016-01-01

    A humanoid, which refers to a robot that resembles a human body, imitates a human’s intelligence, behavior, sense, and interaction in order to provide various types of services to human beings. Humanoids have been studied and developed constantly in order to improve their performance. Humanoids were previously developed for simple repetitive or hard work that required significant human power. However, intelligent service robots have been developed actively these days to provide necessary info...

  13. The motion control of a statically stable biped robot on an uneven floor.

    Science.gov (United States)

    Shih, C L; Chiou, C J

    1998-01-01

    This work studies the motion control of a statically stable biped robot having seven degrees of freedom. Statically stable walking of the biped robot is realized by maintaining the center-of-gravity inside the convex region of the supporting foot and/or feet during both single-support and double-support phases. The main points of this work are framing the stability in an easy and correct way, the design of a bipedal statically stable walker, and walking on sloping surfaces and stairs.

  14. Referential ZMP Trajectory for Minimizing Variation of COG Velocity in Single Support Phase of Biped Robot

    Science.gov (United States)

    Sato, Tomoya; Ohnishi, Kouhei

    The referential ZMP (Zero-Moment Point) trajectory that minimizes the variation of COG (Center of Gravity) velocity in the single support phase of a biped robot is shown. Two advantages of using this ZMP trajectory are discussed. The first advantage is that the variation of COG velocity is gradual. The second advantage is that the biped robot enables the heel-contact motion and the toe-off motion in the single support phase. The trajectory planning based on this ZMP trajectory is proposed. In simulation and experiment, the validity of the proposed method was confirmed.

  15. SVR versus neural-fuzzy network controllers for the sagittal balance of a biped robot.

    Science.gov (United States)

    Ferreira, João P; Crisóstomo, Manuel M; Coimbra, A Paulo

    2009-12-01

    The real-time balance control of an eight-link biped robot using a zero moment point (ZMP) dynamic model is difficult due to the processing time of the corresponding equations. To overcome this limitation, two alternative intelligent computing control techniques were compared: one based on support vector regression (SVR) and another based on a first-order Takagi-Sugeno-Kang (TSK)-type neural-fuzzy (NF) network. Both methods use the ZMP error and its variation as inputs and the output is the correction of the robot's torso necessary for its sagittal balance. The SVR and the NF were trained based on simulation data and their performance was verified with a real biped robot. Two performance indexes are proposed to evaluate and compare the online performance of the two control methods. The ZMP is calculated by reading four force sensors placed under each robot's foot. The gait implemented in this biped is similar to a human gait that was acquired and adapted to the robot's size. Some experiments are presented and the results show that the implemented gait combined either with the SVR controller or with the TSK NF network controller can be used to control this biped robot. The SVR and the NF controllers exhibit similar stability, but the SVR controller runs about 50 times faster.

  16. Learning Spatial Object Localization from Vision on a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Jürgen Leitner

    2012-12-01

    Full Text Available We present a combined machine learning and computer vision approach for robots to localize objects. It allows our iCub humanoid to quickly learn to provide accurate 3D position estimates (in the centimetre range of objects seen. Biologically inspired approaches, such as Artificial Neural Networks (ANN and Genetic Programming (GP, are trained to provide these position estimates using the two cameras and the joint encoder readings. No camera calibration or explicit knowledge of the robot's kinematic model is needed. We find that ANN and GP are not just faster and have lower complexity than traditional techniques, but also learn without the need for extensive calibration procedures. In addition, the approach is localizing objects robustly, when placed in the robot's workspace at arbitrary positions, even while the robot is moving its torso, head and eyes.

  17. Cognitive-Developmental Learning for a Humanoid Robot: A Caregiver's Gift

    National Research Council Canada - National Science Library

    Arsenio, Artur M

    2004-01-01

    The goal of this work is to build a cognitive system for the humanoid robot, Cog, that exploits human caregivers as catalysts to perceive and learn about actions, objects, scenes, people, and the robot itself...

  18. Single-step collision-free trajectory planning of biped climbing robots in spatial trusses.

    Science.gov (United States)

    Zhu, Haifei; Guan, Yisheng; Chen, Shengjun; Su, Manjia; Zhang, Hong

    For a biped climbing robot with dual grippers to climb poles, trusses or trees, feasible collision-free climbing motion is inevitable and essential. In this paper, we utilize the sampling-based algorithm, Bi-RRT, to plan single-step collision-free motion for biped climbing robots in spatial trusses. To deal with the orientation limit of a 5-DoF biped climbing robot, a new state representation along with corresponding operations including sampling, metric calculation and interpolation is presented. A simple but effective model of a biped climbing robot in trusses is proposed, through which the motion planning of one climbing cycle is transformed to that of a manipulator. In addition, the pre- and post-processes are introduced to expedite the convergence of the Bi-RRT algorithm and to ensure the safe motion of the climbing robot near poles as well. The piecewise linear paths are smoothed by utilizing cubic B-spline curve fitting. The effectiveness and efficiency of the presented Bi-RRT algorithm for climbing motion planning are verified by simulations.

  19. Motion and Walking Stabilization of Humanoids Using Sensory Reflex Control

    Directory of Open Access Journals (Sweden)

    Jong-Wook Kim

    2016-04-01

    Full Text Available Humanoid robots are versatile robot platforms that can carry out intelligent tasks and services for humans, including intimate interactions. For high mobility, a robust stabilization of motion including biped walking is crucial. This paper employs and elaborates on sensory reflex control to stabilize standing motion and biped walking using basic sensors such as an inertial measurement unit (IMU and a force-sensing resistor (FSR. Specifically, normalized zero-moment points processed from FSR data are used in the reflexive control of a simple motion of swinging the whole body while standing, and the measured inclination angle of the trunk, filtered from IMU data, is used for biped walking on a sloped floor. The proposed control scheme is validated through experiments with the commercial humanoid robot, ROBOTIS-OP.

  20. Design and Implementation an Autonomous Humanoid Robot Based on Fuzzy Rule-Based Motion Controller

    Directory of Open Access Journals (Sweden)

    Mohsen Taheri

    2010-04-01

    Full Text Available Research on humanoid robotics in Mechatronics and Automation Laboratory, Electrical and Computer Engineering, Islamic Azad University Khorasgan branch (Isfahan of Iran was started at
    the beginning of this decade. Various research prototypes for humanoid robots have been designed and are going through evolution over these years. This paper describes the hardware and software design of the kid size humanoid robot systems of the PERSIA Team in 2009. The robot has 20 actuated degrees of freedom based on Hitec HSR898. In this paper we have tried to focus on areas such as mechanical structure, Image processing unit, robot controller, Robot AI and behavior
    learning. In 2009, our developments for the Kid size humanoid robot include: (1 the design and construction of our new humanoid robots (2 the design and construction of a new hardware and software controller to be used in our robots. The project is described in two main parts: Hardware and Software. The software is developed a robot application which consists walking controller, autonomous motion robot, self localization base on vision and Particle Filter, local AI, Trajectory Planning, Motion Controller and Network. The hardware consists of the mechanical structure and the driver circuit board. Each robot is able to walk, fast walk, pass, kick and dribble when it catches
    the ball. These humanoids have been successfully participating in various robotic soccer competitions. This project is still in progress and some new interesting methods are described in the current report.

  1. A Computational Mechatronics Approach for the Analysis, Synthesis and Design of a Simple Active Biped Robot: Theory and Experiments

    Directory of Open Access Journals (Sweden)

    L.-I. Lugo-Villeda

    2006-01-01

    Full Text Available Biped walking is a quite complex process that has been mastered only by human beings. Transferring this skill to a robot requires implementing advanced techniques in every aspect. To this end, a computational mechatronics platform was integrated to run the scheme for the analysis, synthesis and design to achieve planar biped walking. The result is an advanced computational tool that integrates advanced modeling and control as well as path planning techniques along with hardware-in-the-loop for perhaps the simplest biped robot. An experimental underactuated three-degree-of-freedom (two active and one passive active biped robot yields encouraging results; that is, achieving biped walking with this simple device requires adding a telescopic support leg. Considering a more complete dynamic model to take into account frictional and contact forces.

  2. Biomimetic walking trajectory generation of humanoid robot on an inclined surface using Fourier series.

    Science.gov (United States)

    Park, Ill-Woo; Kim, Jung-Yup

    2014-10-01

    This article describes a novel method to generate a biomimetic walking trajectory for a biped humanoid robot on an inclined surface. We assume that the configuration of the inclined surface is known, and we solve the human-like walking trajectory generation problem by obtaining the solution from the desired zero moment point (ZMP) trajectory to the center of gravity (CoG) trajectory. We present an analytic solution for the walking trajectory generation by using Fourier series. From the given ZMP trajectory biomimetically represented by the Fourier series, we focus on how to find the CoG trajectory in an analytical way. A time-segmentation based approach is adopted for generating the trajectories. The trajectory functions need to be continuous between the segments; thus, the solution is found by calculating the coefficients under these connectivity conditions. We derive a general form of the ZMP equation using a simple inverted pendulum model (SIPM), which includes the ZMP and the CoG trajectories in the horizontal and vertical directions to quantify the walking parameters on the inclined surface. The performance of the proposed approach is verified by conducting walking simulations using a full-body dynamic simulator on three different inclined surfaces and comparing them to the authors' previous approach.

  3. Visual Recognition System for Cleaning Tasks by Humanoid Robots

    Directory of Open Access Journals (Sweden)

    Muhammad Attamimi

    2013-11-01

    Full Text Available In this study, we present a visual recognition system that enables a robot to clean a tabletop. The proposed system comprises object recognition, material recognition and ungraspable object detection using information acquired from a visual sensor. Multiple cues such as colour, texture and three-dimensional point-clouds are incorporated adaptively for achieving object recognition. Moreover, near-infrared (NIR reflection intensities captured by the visual sensor are used for realizing material recognition. The Gaussian mixture model (GMM is employed for modelling the tabletop surface that is used for detecting ungraspable objects. The proposed system was implemented in a humanoid robot, and tasks such as object and material recognition were performed in various environments. In addition, we evaluated ungraspable object detection using various objects such as dust, grains and paper waste. Finally, we executed the cleaning task to evaluate the proposed system's performance. The results revealed that the proposed system affords high recognition rates and enables humanoid robots to perform domestic service tasks such as cleaning.

  4. Design Method of ZMP Disturbance Observer for Walking Stabilization of Biped Robot

    Science.gov (United States)

    Sato, Tomoya; Sakaino, Sho; Ohnishi, Kouhei

    This paper proposes a design method of zero-moment point (ZMP) disturbance observer for walking stabilization of biped robots. A parameter design method for the filter required in the ZMP disturbance observer is proposed for performance improvement, and a variable compliance controller is introduced for impact reduction during landing. The validity of the proposed method was confirmed by simulations and experiments.

  5. Robust disturbance rejection control of a biped robotic system using high-order extended state observer.

    Science.gov (United States)

    Martínez-Fonseca, Nadhynee; Castañeda, Luis Ángel; Uranga, Agustín; Luviano-Juárez, Alberto; Chairez, Isaac

    2016-05-01

    This study addressed the problem of robust control of a biped robot based on disturbance estimation. Active disturbance rejection control was the paradigm used for controlling the biped robot by direct active estimation. A robust controller was developed to implement disturbance cancelation based on a linear extended state observer of high gain class. A robust high-gain scheme was proposed for developing a state estimator of the biped robot despite poor knowledge of the plant and the presence of uncertainties. The estimated states provided by the state estimator were used to implement a feedback controller that was effective in actively rejecting the perturbations as well as forcing the trajectory tracking error to within a small vicinity of the origin. The theoretical convergence of the tracking error was proven using the Lyapunov theory. The controller was implemented by numerical simulations that showed the convergence of the tracking error. A comparison with a high-order sliding-mode-observer-based controller confirmed the superior performance of the controller using the robust observer introduced in this study. Finally, the proposed controller was implemented on an actual biped robot using an embedded hardware-in-the-loop strategy. Copyright © 2016 ISA. Published by Elsevier Ltd. All rights reserved.

  6. Position and Attitude Tracking Control for Toe Support Phase of Biped Walking Robot

    Science.gov (United States)

    Takahashi, Taro; Kawamura, Atsuo

    No paper has been published on the active use of the foot toe of the biped walking robots. In other words, the sole of the supporting leg is usually assumed to be completely contacted to the floor. To maintain this condition, the robot walking has a restriction such as the maximum walking speed limitation. If the point contact of the toe to the floor through walking is available, the variety of the walking can be realized. In this paper, a new control method for biped robots, in which the contact of the sole to the floor becomes a point contact, is proposed. The COM (Center of Mass) and swing leg can track the desired path and each heel joint angle can be controlled by the proposed controller while a biped walking robot is following a forward falling. Therefore the motion of the body has not to be limited to the quiet motion. The proposed method is verified by the simulation and experimental results with 6 joints DOF biped robot“Ken”.

  7. Entorno para coreografiar movimientos en un robot humanoide

    OpenAIRE

    Inglés Romero, Juan Francisco; Vicente Chicote, Cristina; Alonso Cáceres, Diego

    2010-01-01

    En los últimos años, el Desarrollo Software Dirigido por Modelos ha ido ganando en importancia y, actualmente, es considerado uno de los enfoques más prometedores en el ámbito de la Ingeniería del Software. En este artículo, se presenta un ejemplo práctico de aplicación de este nuevo enfoque al dominio de la robótica, centrado en el desarrollo de un entorno para modelar coreografías de movimientos para el robot humanoide Robonova. Este entorno permite a los usuarios de esta plataforma r...

  8. Introducing Pre-evaluation into the Embodied-Evolution Framework for a Biped Robot

    Science.gov (United States)

    Nakai, Junichi; Arita, Takaya

    ``Embodied Evolution (EE)'' is a methodology in evolutionary robotics, in which, without simulations on a host computer, real robots evolve based on the interactions with actual environment. However, we had to accept robot behavior with low fitness especially in the early generations when adopting the EE framework. We introduced pre-evaluation into the EE framework so as to restrain robot behavior whose fitness is predicted to be low. This paper reports on the introduction of pre-evaluation into the Embodied-Evolution framework for a biped robot in order to reduce the risk of falling.

  9. Real-time Walking Pattern Generation for a Biped Robot with Hybrid CPG-ZMP Algorithm

    Directory of Open Access Journals (Sweden)

    Bin He

    2014-10-01

    Full Text Available Biped robots have better mobility than conventional wheeled robots. The bio-inspired method based on a central pattern generator (CPG can be used to control biped robot walking in a manner like human beings. However, to achieve stable locomotion, it is difficult to modulate the parameters for the neural networks to coordinate every degree of freedom of the walking robot. The zero moment point (ZMP method is very popular for the stability control of biped robot walking. However, the reference trajectories have low energy efficiency, lack naturalness and need significant offline calculation. This paper presents a new method for biped real-time walking generation using a hybrid CPG-ZMP control algorithm. The method can realize a stable walking pattern by combining the ZMP criterion with rhythmic motion control. The CPG component is designed to generate the desired motion for each robot joint, which is modulated by phase resetting according to foot contact information. By introducing the ZMP location, the activity of the CPG output signal is adjusted to coordinate the limbs’ motion and allow the robot to maintain balance during the process of locomotion. The numerical simulation results show that, compared with the CPG method, the new hybrid CPG-ZMP algorithm can enhance the robustness of the CPG parameters and improve the stability of the robot. In addition, the proposed algorithm is more energy efficient than the ZMP method. The results also demonstrate that the control system can generate an adaptive walking pattern through interactions between the robot, the CPG and the environment.

  10. Innovization procedure applied to a multi-objective optimization of a biped robot locomotion

    Science.gov (United States)

    Oliveira, Miguel; Santos, Cristina P.; Costa, Lino

    2013-10-01

    This paper proposes an Innovization procedure approach for a bio-inspired biped gait locomotion controller. We combine a multi-objective evolutionary algorithm and a bio-inspired Central Patterns Generator locomotion controller to generates the necessary limb movements to perform the walking gait of a biped robot. The search for the best set of CPG parameters is optimized by considering multiple objectives along a staged evolution. An innovation analysis is issued to verify relationships between the parameters and the objectives and between objectives themselves in order to find relevant motor behaviors characteristics. The simulation results show the effectiveness of the proposed approach.

  11. Proper Posture of Redundant Legged Biped Robot for Impact Force Suppression

    Science.gov (United States)

    Tasaki, Go; Shibata, Masaaki

    The paper describes proper initial posture of the swinging leg of a redundant legged biped robot for impact force suppression in landing onto the ground. The proposed robot has structural advantage for absorbing the impact because of its own redundancy of posture, and then, the proper posture of the landing leg contributes the further suppression. The validity of the proposed approach is confirmed in physical experimental results.

  12. Method and apparatus for automatic control of a humanoid robot

    Science.gov (United States)

    Abdallah, Muhammad E (Inventor); Platt, Robert (Inventor); Wampler, II, Charles W. (Inventor); Reiland, Matthew J (Inventor); Sanders, Adam M (Inventor)

    2013-01-01

    A robotic system includes a humanoid robot having a plurality of joints adapted for force control with respect to an object acted upon by the robot, a graphical user interface (GUI) for receiving an input signal from a user, and a controller. The GUI provides the user with intuitive programming access to the controller. The controller controls the joints using an impedance-based control framework, which provides object level, end-effector level, and/or joint space-level control of the robot in response to the input signal. A method for controlling the robotic system includes receiving the input signal via the GUI, e.g., a desired force, and then processing the input signal using a host machine to control the joints via an impedance-based control framework. The framework provides object level, end-effector level, and/or joint space-level control of the robot, and allows for functional-based GUI to simplify implementation of a myriad of operating modes.

  13. Development of artificial muscle actuator using ionic polymer with its application to biped walking robots

    Science.gov (United States)

    Yamakita, Masaki; Kamamichi, Norihiko; Kaneda, Yasuaki; Asaka, Kinji; Luo, Zhi-Wei

    2003-07-01

    We are developing an artificial muscle linear actuator using ionic polymer-metal composites (IPMC) which is an electro-active polymer that bends in response to electric stimuli and the goal of our study is to apply the actuator to robotic applications especially to a biped walking robot. In this paper, we will describe the structure of the actuator and an empirical model of the actuator which has two inputs and one output, and whose parameters are identified from input-output data. Based on the empirical model, we demonstrate walking simulations of a small-sized biped walking robot. In the numerical simulation we assume that the developed actuators are connected both in series and in parallel to a joint of the walking robot so that the actuators supply enough torque to the robot and that they are stretched and compressed enough. It is shown throughout the simulation that the biped walking robot with the actuators can walk on a level ground with a period synchronized with a period of input signal.

  14. Episodic reinforcement learning control approach for biped walking

    Directory of Open Access Journals (Sweden)

    Katić Duško

    2012-01-01

    Full Text Available This paper presents a hybrid dynamic control approach to the realization of humanoid biped robotic walk, focusing on the policy gradient episodic reinforcement learning with fuzzy evaluative feedback. The proposed structure of controller involves two feedback loops: a conventional computed torque controller and an episodic reinforcement learning controller. The reinforcement learning part includes fuzzy information about Zero-Moment- Point errors. Simulation tests using a medium-size 36-DOF humanoid robot MEXONE were performed to demonstrate the effectiveness of our method.

  15. Comparison of Smart Visual Attention Mechanisms for Humanoid Robots

    Directory of Open Access Journals (Sweden)

    Carlos E. Agüero

    2012-12-01

    Full Text Available Cameras are one of the most relevant sensors in autonomous robots. One challenge with them is to manage the small field of view of regular cameras. A method of coping with this, similar to the attention systems in humans, is to use mobile cameras to cover all the robot surroundings and to perceive all the objects of interest to the robot tasks even if they do not lie in the same snapshot. A gaze control algorithm is then required that continuously selects where the camera should look. This paper presents three different covert attention mechanisms that have been designed and compared: one based on round-Robin sharing, another based on dynamic salience and one with fixed pattern camera movements. Several experiments have been performed with a humanoid robot in order to validate them and to give an objective comparison in the context of RoboCup, where the robots have several perceptive needs like localization and object tracking that must be satisfied and may not be fully compatible.

  16. "It's not my fault!": Investigating the effects of the deceptive behaviour of a humanoid robot

    NARCIS (Netherlands)

    Wijnen, L.; Coenen, J.; Grzyb, B.J.

    2017-01-01

    We investigated the effects of the deceptive behaviour of a robot, hypothesising that a lying robot would be perceived as more intelligent and human-like, but less trust-worthy than a non-lying robot. The participants engaged in a collaborative task with the non-lying and lying humanoid robot NAO.

  17. Operation analysis of a Chebyshev-Pantograph leg mechanism for a single DOF biped robot

    Science.gov (United States)

    Liang, Conghui; Ceccarelli, Marco; Takeda, Yukio

    2012-12-01

    In this paper, operation analysis of a Chebyshev-Pantograph leg mechanism is presented for a single degree of freedom (DOF) biped robot. The proposed leg mechanism is composed of a Chebyshev four-bar linkage and a pantograph mechanism. In contrast to general fully actuated anthropomorphic leg mechanisms, the proposed leg mechanism has peculiar features like compactness, low-cost, and easy-operation. Kinematic equations of the proposed leg mechanism are formulated for a computer oriented simulation. Simulation results show the operation performance of the proposed leg mechanism with suitable characteristics. A parametric study has been carried out to evaluate the operation performance as function of design parameters. A prototype of a single DOF biped robot equipped with two proposed leg mechanisms has been built at LARM (Laboratory of Robotics and Mechatronics). Experimental test shows practical feasible walking ability of the prototype, as well as drawbacks are discussed for the mechanical design.

  18. Impact Force Suppression for Redundant Legged Biped Robot Based on Unified Decoupling Control Method

    Science.gov (United States)

    Shibata, Masaaki; Tasaki, Go; Natori, Takeshi

    A swinging leg of a biped robot landing, impact force usually occurs between the sole and the ground, and then it causes instability of the gait. The paper describes the advantages of adopting redundant legs to the robot in order to conquer the difficulty, and proposes a novel way of the motion control for the redundant legged biped robot. In general, each leg of a conventional biped robot consists of 3 joints, namely, hip, knee and ankle in the sagittal plane. On the other hand, the proposed robot has been added extra joints, and thereby has redundancy in terms of degrees-of-freedom. Since the redundant leg can select its arbitrary posture, regardless of the tip position, the structure enables to move the position of the center of mass (COM) of the leg independently. The impact force is suppressed by controlling the COM acceleration of the landing leg. In order to achieve the decoupled motions between the tip and the COM, the unified decoupling controller is introduced. The controller includes three types of the disturbance observers together, and both desired motions are realized consequently. The validity of the proposed approach is confirmed in physical experimental results.

  19. An Address Event Representation-Based Processing System for a Biped Robot

    Directory of Open Access Journals (Sweden)

    Uziel Jaramillo-Avila

    2016-02-01

    Full Text Available In recent years, several important advances have been made in the fields of both biologically inspired sensorial processing and locomotion systems, such as Address Event Representation-based cameras (or Dynamic Vision Sensors and in human-like robot locomotion, e.g., the walking of a biped robot. However, making these fields merge properly is not an easy task. In this regard, Neuromorphic Engineering is a fast-growing research field, the main goal of which is the biologically inspired design of hybrid hardware systems in order to mimic neural architectures and to process information in the manner of the brain. However, few robotic applications exist to illustrate them. The main goal of this work is to demonstrate, by creating a closed-loop system using only bio-inspired techniques, how such applications can work properly. We present an algorithm using Spiking Neural Networks (SNN for a biped robot equipped with a Dynamic Vision Sensor, which is designed to follow a line drawn on the floor. This is a commonly used method for demonstrating control techniques. Most of them are fairly simple to implement without very sophisticated components; however, it can still serve as a good test in more elaborate circumstances. In addition, the locomotion system proposed is able to coordinately control the six DOFs of a biped robot in switching between basic forms of movement. The latter has been implemented as a FPGA-based neuromorphic system. Numerical tests and hardware validation are presented.

  20. Humanoid Robot RH-1 for Collaborative Tasks: A Control Architecture for Human-Robot Cooperation

    Directory of Open Access Journals (Sweden)

    Concepción A. Monje

    2008-01-01

    Full Text Available The full-scale humanoid robot RH-1 has been totally developed in the University Carlos III of Madrid. In this paper we present an advanced control system for this robot so that it can perform tasks in cooperation with humans. The collaborative tasks are carried out in a semi-autonomous way and are intended to be put into operation in real working environments where humans and robots should share the same space. Before presenting the control strategy, the kinematic model and a simplified dynamic model of the robot are presented. All the models and algorithms are verified by several simulations and experimental results.

  1. Biomechanics of Step Initiation After Balance Recovery With Implications for Humanoid Robot Locomotion.

    Science.gov (United States)

    Miller Buffinton, Christine; Buffinton, Elise M; Bieryla, Kathleen A; Pratt, Jerry E

    2016-03-01

    Balance-recovery stepping is often necessary for both a human and humanoid robot to avoid a fall by taking a single step or multiple steps after an external perturbation. The determination of where to step to come to a complete stop has been studied, but little is known about the strategy for initiation of forward motion from the static position following such a step. The goal of this study was to examine the human strategy for stepping by moving the back foot forward from a static, double-support position, comparing parameters from normal step length (SL) to those from increasing SLs to the point of step failure, to provide inspiration for a humanoid control strategy. Healthy young adults instrumented with joint reflective markers executed a prescribed-length step from rest while marker positions and ground reaction forces (GRFs) were measured. The participants were scaled to the Gait2354 model in opensim software to calculate body kinematic and joint kinetic parameters, with further post-processing in matlab. With increasing SL, participants reduced both static and push-off back-foot GRF. Body center of mass (CoM) lowered and moved forward, with additional lowering at the longer steps, and followed a path centered within the initial base of support (BoS). Step execution was successful if participants gained enough forward momentum at toe-off to move the instantaneous capture point (ICP) to within the BoS defined by the final position of both feet on the front force plate. All lower extremity joint torques increased with SL except ankle joint. Front knee work increased dramatically with SL, accompanied by decrease in back-ankle work. As SL increased, the human strategy changed, with participants shifting their CoM forward and downward before toe-off, thus gaining forward momentum, while using less propulsive work from the back ankle and engaging the front knee to straighten the body. The results have significance for human motion, suggesting the upper limit of the

  2. Making Humanoid Robots More Acceptable Based on the Study of Robot Characters in Animation

    Directory of Open Access Journals (Sweden)

    Fatemeh Maleki

    2015-03-01

    Full Text Available In this paper we take an approach in Humanoid Robots are not considered as robots who resembles human beings in a realistic way of appearance and act but as robots who act and react like human that make them more believable by people. Regarding this approach we will study robot characters in animation movies and discuss what makes some of them to be accepted just like a moving body and what makes some other robot characters to be believable as a living human. The goal of this paper is to create a rule set that describes friendly, socially acceptable, kind, cute... robots and in this study we will review example robots in popular animated movies. The extracted rules and features can be used for making real robots more acceptable.

  3. Multi-physics modelling of a compliant humanoid robot

    Energy Technology Data Exchange (ETDEWEB)

    Zobova, Alexandra A., E-mail: azobova@mech.math.msu.su [Lomonosov Moscow State University, Faculty of Mechanics and Mathematics (Russian Federation); Habra, Timothée, E-mail: timothee.habra@uclouvain.be [Université catholique de Louvain (UCL), Center for Research in Mechatronics, Institute of Mechanics, Materials, and Civil Engineering (Belgium); Van der Noot, Nicolas, E-mail: nicolas.vandernoot@uclouvain.be, E-mail: nicolas.vandernoot@epfl.ch [EPFL STI IBI BIOROB, Biorobotics Laboratory, Institute of Bioengineering, École polytechnique fédérale de Lausanne (EPFL) (Switzerland); Dallali, Houman, E-mail: houman.dallali@iit.it; Tsagarakis, Nikolaos G., E-mail: nikos.tsagarakis@iit.it [Istituto Italiano di Tecnologia, Department of Advanced Robotics (Italy); Fisette, Paul, E-mail: paul.fisette@uclouvain.be; Ronsse, Renaud, E-mail: renaud.ronsse@uclouvain.be [Université catholique de Louvain (UCL), Center for Research in Mechatronics, Institute of Mechanics, Materials, and Civil Engineering (Belgium)

    2017-01-15

    We present a multibody simulator being used for compliant humanoid robot modelling and report our reasoning for choosing the settings of the simulator’s key features. First, we provide a study on how the numerical integration speed and accuracy depend on the coordinate representation of the multibody system. This choice is particularly critical for mechanisms with long serial chains (e.g. legs and arms). Our second contribution is a full electromechanical model of the inner dynamics of the compliant actuators embedded in the COMAN robot, since joints’ compliance is needed for the robot safety and energy efficiency. Third, we discuss the different approaches for modelling contacts and selecting an appropriate contact library. The recommended solution is to couple our simulator with an open-source contact library offering both accurate and fast contact modelling. The simulator performances are assessed by two different tasks involving contacts: a bimanual manipulation task and a squatting tasks. The former shows reliability of the simulator. For the latter, we report a comparison between the robot behaviour as predicted by our simulation environment, and the real one.

  4. Multi-physics modelling of a compliant humanoid robot

    International Nuclear Information System (INIS)

    Zobova, Alexandra A.; Habra, Timothée; Van der Noot, Nicolas; Dallali, Houman; Tsagarakis, Nikolaos G.; Fisette, Paul; Ronsse, Renaud

    2017-01-01

    We present a multibody simulator being used for compliant humanoid robot modelling and report our reasoning for choosing the settings of the simulator’s key features. First, we provide a study on how the numerical integration speed and accuracy depend on the coordinate representation of the multibody system. This choice is particularly critical for mechanisms with long serial chains (e.g. legs and arms). Our second contribution is a full electromechanical model of the inner dynamics of the compliant actuators embedded in the COMAN robot, since joints’ compliance is needed for the robot safety and energy efficiency. Third, we discuss the different approaches for modelling contacts and selecting an appropriate contact library. The recommended solution is to couple our simulator with an open-source contact library offering both accurate and fast contact modelling. The simulator performances are assessed by two different tasks involving contacts: a bimanual manipulation task and a squatting tasks. The former shows reliability of the simulator. For the latter, we report a comparison between the robot behaviour as predicted by our simulation environment, and the real one.

  5. Investigating the ability to read others’ intentions using humanoid robots

    Directory of Open Access Journals (Sweden)

    Alessandra eSciutti

    2015-09-01

    Full Text Available The ability to interact with other people hinges crucially on the possibility to anticipate how their actions would unfold. Recent evidence suggests that a similar skill may be grounded on the fact that we perform an action differently if different intentions lead it. Human observers can detect these differences and use them to predict the purpose leading the action. Although intention reading from movement observation is receiving a growing interest in research, the currently applied experimental paradigms have important limitations. Here, we describe a new approach to study intention understanding that takes advantage of robots, and especially of humanoid robots. We posit that this choice may overcome the drawbacks of previous methods, by guaranteeing the ideal trade-off between controllability and naturalness of the interactive scenario. Robots indeed can establish an interaction in a controlled manner, while sharing the same action space and guaranteeing contingent behaviors. To conclude, we discuss the advantages of this research strategy and the aspects to be taken in consideration when attempting to define which human (and robot motion features allow for intention reading during social interactive tasks.

  6. Mechanical design and optimal control of humanoid robot (TPinokio

    Directory of Open Access Journals (Sweden)

    Teck Chew Wee

    2014-04-01

    Full Text Available The mechanical structure and the control of the locomotion of bipedal humanoid is an important and challenging domain of research in bipedal robots. Accurate models of the kinematics and dynamics of the robot are essential to achieve bipedal locomotion. Toe-foot walking produces a more natural and faster walking speed and it is even possible to perform stretch knee walking. This study presents the mechanical design of a toe-feet bipedal, TPinokio and the implementation of some optimal walking gait generation methods. The optimality in the gait trajectory is achieved by applying augmented model predictive control method and the pole-zero cancellation method, taken into consideration of a trade-off between walking speed and stability. The mechanism of the TPinokio robot is designed in modular form, so that its kinematics can be modelled accurately into a multiple point-mass system, its dynamics is modelled using the single and double mass inverted pendulum model and zero-moment-point concept. The effectiveness of the design and control technique is validated by simulation testing with the robot walking on flat surface and climbing stairs.

  7. Transition Analysis and Its Application to Global Path Determination for a Biped Climbing Robot

    Directory of Open Access Journals (Sweden)

    Haifei Zhu

    2018-01-01

    Full Text Available Biped climbing robots are considered good assistants and (or substitutes for human workers carrying out high-rise truss-associated routine tasks. Flexible locomotion on three-dimensional complex trusses is a fundamental skill for these robots. In particular, the capability to transit from one structural member to another is paramount for switching objects to be climbed upon. In this paper, we study member-to-member transition and its utility in global path searching for biped climbing robots. To compute operational regions for transition, hierarchical inspection of safety, reachability, and accessibility of grips is taken into account. A novel global path rapid determination approach is subsequently proposed based on the transition analysis. This scheme is efficient for finding feasible routes with respect to the overall structural environment, which also benefits the subsequent grip and motion planning. Simulations are conducted with Climbot, our self-developed biped climbing robot, to verify the efficiency of the presented method. Results show that our proposed method is able to accurately determine the operational region for transition within tens of milliseconds and can obtain global paths within seconds in general.

  8. Dynamical analysis and performance evaluation of a biped robot under multi-source random disturbances

    Science.gov (United States)

    Gan, Chun-Biao; Ding, Chang-Tao; Yang, Shi-Xi

    2014-12-01

    During bipedal walking, it is critical to detect and adjust the robot postures by feedback control to maintain its normal state amidst multi-source random disturbances arising from some unavoidable uncertain factors. The radical basis function (RBF) neural network model of a five-link biped robot is established, and two certain disturbances and a randomly uncertain disturbance are then mixed with the optimal torques in the network model to study the performance of the biped robot by several evaluation indices and a specific Poincaré map. In contrast with the simulations, the response varies as desired under optimal inputting while the output is fluctuating in the situation of disturbance driving. Simulation results from noise inputting also show that the dynamics of the robot is less sensitive to the disturbance of knee joint input of the swing leg than those of the other three joints, the response errors of the biped will be increasing with higher disturbance levels, and especially there are larger output fluctuations in the knee and hip joints of the swing leg.

  9. Robust Sound Localization: An Application of an Auditory Perception System for a Humanoid Robot

    National Research Council Canada - National Science Library

    Irie, Robert E

    1995-01-01

    .... This thesis presents an integrated auditory system for a humanoid robot, currently under development, that will, among other things, learn to localize normal, everyday sounds in a realistic environment...

  10. Method for Adapting to Rough Terrain Based on Environmental Modes for Biped Robots

    Science.gov (United States)

    Ohashi, Eijiro; Sato, Tomoya; Ohnishi, Kouhei

    This paper describes a method for adapting to rough terrain for biped robots. The robots obtain information of reaction force from the ground by sensors located at each corner of rectangular soles. From the sensor information, environmental modes are extracted. The environmental modes consist of four modes: heaving, rolling, pitching, and twisting, which represent contact states between the ground and the soles. On the basis of the twisting mode, the robot detects the unevenness of the ground, makes contact with the uneven ground stably with three corners of the sole, and modifies the trajectory to continue stable walking. The validity of the proposed method is confirmed by experimental results.

  11. Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

    Science.gov (United States)

    Beran, Tanya N; Ramirez-Serrano, Alex; Vanderkooi, Otto G; Kuhn, Susan

    2015-07-01

    A new non-pharmacological method of distraction was tested with 57 children during their annual flu vaccination. Given children's growing enthusiasm for technological devices, a humanoid robot was programmed to interact with them while a nurse administered the vaccination. Children smiled more often with the robot, as compared to the control condition, but they did not cry less. Parents indicated that their children held stronger memories for the robot than for the needle, wanted the robot in the future, and felt empowered to cope. We conclude that children and their parents respond positively to a humanoid robot at the bedside. © The Author(s) 2013.

  12. Reinforcement learning for a biped robot based on a CPG-actor-critic method.

    Science.gov (United States)

    Nakamura, Yutaka; Mori, Takeshi; Sato, Masa-aki; Ishii, Shin

    2007-08-01

    Animals' rhythmic movements, such as locomotion, are considered to be controlled by neural circuits called central pattern generators (CPGs), which generate oscillatory signals. Motivated by this biological mechanism, studies have been conducted on the rhythmic movements controlled by CPG. As an autonomous learning framework for a CPG controller, we propose in this article a reinforcement learning method we call the "CPG-actor-critic" method. This method introduces a new architecture to the actor, and its training is roughly based on a stochastic policy gradient algorithm presented recently. We apply this method to an automatic acquisition problem of control for a biped robot. Computer simulations show that training of the CPG can be successfully performed by our method, thus allowing the biped robot to not only walk stably but also adapt to environmental changes.

  13. ZMP Reference Trajectory Generation for Biped Robot with Inverted Pendulum Model by Using Virtual Supporting Point

    Science.gov (United States)

    Suzuki, Tomoyuki; Tsuji, Toshiaki; Shibuya, Maki; Ohnishi, Kouhei

    Motion planning of a biped robot based on ZMP is quite popular in recent years. In this method, ZMP reference trajectory is planned at first so that ZMP stays inside of the support polygon. Then, walking pattern is generated based on the trajectory. Conventional methods based on ZMP reference trajectory did not take the dynamics of bipedal locomotion into account. Therefore, the basis of the motion planning was ambiguous and the biped robot did not get human-like walking. This paper proposes ZMP reference trajectory generation with inverted pendulum model by using VSP (Virtual Supporting Point). With this, smooth ZMP reference trajectory based on the dynamics of the inverted pendulum is generated uniquely according to the desired stride and walking cycle.

  14. Design and Real-Time Control of a 4-DOF Biped Robot

    Directory of Open Access Journals (Sweden)

    Jose Alejandro Vázquez

    2013-08-01

    Full Text Available This work is focused on the design, construction and model based control of a biped robot during the walking cycle on the sagittal plane. For the analysis, the single support phase is considered to be the dominating dynamics, by assuming an instantaneous double support phase which is only described by the impact phenomenon. The joint tracking problem is analyzed by means of a model based control strategy, which incorporates a reformulation of the Coriolis matrix that allows the cancellation of non antisymmetric terms in order to formally proof the asymptotic stability of the coordinate error system representation in a local sense. Some experiments are carried out for a pre-defined reference trajectory for the walking cycle of a 4-DOF biped robot.

  15. APPROACHES FOR STABILIZING OF BIPED ROBOTS IN A STANDING POSITION ON MOVABLE SUPPORT

    Directory of Open Access Journals (Sweden)

    D. N. Bazylev

    2015-05-01

    Full Text Available Subject of research. The problem of stabilization for biped walking robots on the surface is considered. The angle and angular velocity of the movable surface varies randomly in a limited range. Methods. Two approaches of stabilization of biped robots are proposed. The first approach requires the construction of kinematic and dynamic models of the robot. Dynamic equations were obtained using the Euler-Lagrange method. The control algorithm is based on the method of inverse dynamics, in which the original nonlinear dynamic model is linearized by a feedback. The second stabilization algorithm uses only the kinematic model of the robot. A hybrid controller is developed for this approach. In the case of low angular velocities of the movable support the robot stabilization is performed by PD controller on the basis of the angle error of deflection of the servo shaft. In the case of relatively high angular velocities of the support the controller also uses the gyroscope readings mounted in the robot torso. Maintenance of the robot’s gravity center over the center of bearing area for providing a stable position was chosen as a goal of control in both approaches. Main results. Efficiency and effectiveness of the proposed approaches for stabilization of biped robots on the moving surface are demonstrated by the numerical simulation. Both methods provide stability of the balancing robots on changing the angle of inclination and angular velocity of the moving surface in the ranges (50; 50 and (40 / sec; 40 / sec , respectively. Comparative analysis of these approaches under identical requirements for quality indicators of transients is also provided: transient time 0.2 sec п t  and overshoot   0%. The conditions under which each of the control methods will be more effective in practice are identified.

  16. Towards Autonomous Operations of the Robonaut 2 Humanoid Robotic Testbed

    Science.gov (United States)

    Badger, Julia; Nguyen, Vienny; Mehling, Joshua; Hambuchen, Kimberly; Diftler, Myron; Luna, Ryan; Baker, William; Joyce, Charles

    2016-01-01

    The Robonaut project has been conducting research in robotics technology on board the International Space Station (ISS) since 2012. Recently, the original upper body humanoid robot was upgraded by the addition of two climbing manipulators ("legs"), more capable processors, and new sensors, as shown in Figure 1. While Robonaut 2 (R2) has been working through checkout exercises on orbit following the upgrade, technology development on the ground has continued to advance. Through the Active Reduced Gravity Offload System (ARGOS), the Robonaut team has been able to develop technologies that will enable full operation of the robotic testbed on orbit using similar robots located at the Johnson Space Center. Once these technologies have been vetted in this way, they will be implemented and tested on the R2 unit on board the ISS. The goal of this work is to create a fully-featured robotics research platform on board the ISS to increase the technology readiness level of technologies that will aid in future exploration missions. Technology development has thus far followed two main paths, autonomous climbing and efficient tool manipulation. Central to both technologies has been the incorporation of a human robotic interaction paradigm that involves the visualization of sensory and pre-planned command data with models of the robot and its environment. Figure 2 shows screenshots of these interactive tools, built in rviz, that are used to develop and implement these technologies on R2. Robonaut 2 is designed to move along the handrails and seat track around the US lab inside the ISS. This is difficult for many reasons, namely the environment is cluttered and constrained, the robot has many degrees of freedom (DOF) it can utilize for climbing, and remote commanding for precision tasks such as grasping handrails is time-consuming and difficult. Because of this, it is important to develop the technologies needed to allow the robot to reach operator-specified positions as

  17. Robust fault-tolerant control for a biped robot using a recurrent cerebellar model articulation controller.

    Science.gov (United States)

    Lin, Chih-Min; Chen, Chiu-Hsiung

    2007-02-01

    A design technique of a recurrent cerebellar model articulation controller (RCMAC)-based fault-tolerant control (FTC) system is investigated to rectify the nonlinear faults of a biped robot. The proposed RCMAC-based FTC (RCFTC) scheme contains two components: 1) an online fault estimation module based on an RCMAC is used to provide approximation information for any nonnominal behavior due to the system failure and modeling error of the biped robot; and 2) a controller module consisting of a computed torque controller and a robust FTC is utilized to achieve FTC. In the controller module, the computed torque controller reveals a basic stabilizing controller to stabilize the system, and the robust FTC is utilized to compensate for the effects of the system failure so as to achieve fault accommodation. The adaptive laws of the RCFTC system are rigorously established based on the Lyapunov function, so that the stability of the system can be guaranteed. Finally, two simulation cases of a biped robot are presented to illustrate the effectiveness of the proposed design method. Simulation results show that the RCFTC system can effectively recover the control performance for the system in the presence of the nonlinear faults and modeling uncertainties.

  18. Fuzzy Logic Velocity Control of a Biped Robot Locomotion and Simulation

    Directory of Open Access Journals (Sweden)

    Arif Ankarali

    2012-10-01

    Full Text Available In this paper, fuzzy logic velocity control of a biped robot to generate gait is studied. The system considered in this study has six degrees of freedom with hip, knee and ankle joints. The joint angular positions are determined utilizing the Cartesian coordinate information of the joints obtained by using camera captured data of the motion. The first derivatives of the calculated joint angular positions are applied as the reference angular velocity input to the fuzzy controllers of the joint servomotors to generate a gait motion. The assumed motion for the biped robot is horizontal walking on a flat surface. The actuated joints are hip, knee and ankle joints which are driven by DC servomotors. The calculated angular velocities of the joints from camera captured motion data are utilized to get the driving velocity functions of the model as sine functions. These functions are applied to the fuzzy controller as the reference angular velocity inputs. The control signals produced by the fuzzy controllers are applied to the servomotors and then the response of the servomotor block is introduced as an input to the SimMechanics model of the biped robot. The simulation results are provided which evaluate the effectiveness of the fuzzy logic controller on joint velocities to generate gait motion.

  19. Foot Placement Indicator for Balance of Planar Bipeds with Point Feet

    Directory of Open Access Journals (Sweden)

    Pieter van Zutven

    2013-05-01

    Full Text Available Abstract If humanoid robots are to be used in society, they should be able to maintain their balance. Knowing where to step is crucially important. In this paper we contribute an algorithm that can compute the foot step location such that bipedal balance is maintained for planar bipeds with point feet and an arbitrary number of non-massless links on a horizontal and flat ground. The algorithm is called the foot placement indicator (FPI and it extends the foot placement estimator (FPE. The FPE uses an inverted pendulum model to capture the dynamics of a humanoid robot, whereas the FPI deals with multi-body models with distributed masses. This paper analyses equilibrium sets and the stability of planar bipeds with point feet. The algorithm uses conservation of energy throughout the step, taking into account the instantaneous impact dynamics at foot strike. A simulation case study on a five-link planar biped shows the effectiveness of the FPI.

  20. Developing Humanoid Robots for Real-World Environments

    Science.gov (United States)

    Stoica, Adrian; Kuhlman, Michael; Assad, Chris; Keymeulen, Didier

    2008-01-01

    Humanoids are steadily improving in appearance and functionality demonstrated in controlled environments. To address the challenges of operation in the real-world, researchers have proposed the use of brain-inspired architectures for robot control, and the use of robot learning techniques that enable the robot to acquire and tune skills and behaviours. In the first part of the paper we introduce new concepts and results in these two areas. First, we present a cerebellum-inspired model that demonstrated efficiency in the sensory-motor control of anthropomorphic arms, and in gait control of dynamic walkers. Then, we present a set of new ideas related to robot learning, emphasizing the importance of developing teaching techniques that support learning. In the second part of the paper we propose the use in robotics of the iterative and incremental development methodologies, in the context of practical task-oriented applications. These methodologies promise to rapidly reach system-level integration, and to early identify system-level weaknesses to focus on. We apply this methodology in a task targeting the automated assembly of a modular structure using HOAP-2. We confirm this approach led to rapid development of a end-to-end capability, and offered guidance on which technologies to focus on for gradual improvement of a complete functional system. It is believed that providing Grand Challenge type milestones in practical task-oriented applications accelerates development. As a meaningful target in short-mid term we propose the 'IKEA Challenge', aimed at the demonstration of autonomous assembly of various pieces of furniture, from the box, following included written/drawn instructions.

  1. FY1995 research on humanoid; 1995 nendo humanoid kenkyu

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    The future robot must be a sensor-complex with high intelligence and flexible mechanical body. The purpose of the project is to improve the basic technologies by making a prototype of the human-like robot to work with human using various communication channels such as voice, facial expressions, and motion of the head, eyes, arms and legs. The following basic technologies are successfully developed and two humanoid robots were built as the total systems. They can perform some physical works communicating with human. Moreover these robots were connected to ISDN network for the experiments of tele-robotics. 1. a environment and human face understanding using vision and audition. 2. a speech conversation under the ordinary room environment. 3. a human machine communication using gesticulations. 4. a flexible human-like robot head, arms and hands. 5. a biped walking using the dynamic balance control. (NEDO)

  2. Robots testing robots: ALAN-Arm, a humanoid arm for the testing of robotic rehabilitation systems.

    Science.gov (United States)

    Brookes, Jack; Kuznecovs, Maksims; Kanakis, Menelaos; Grigals, Arturs; Narvidas, Mazvydas; Gallagher, Justin; Levesley, Martin

    2017-07-01

    Robotics is increasing in popularity as a method of providing rich, personalized and cost-effective physiotherapy to individuals with some degree of upper limb paralysis, such as those who have suffered a stroke. These robotic rehabilitation systems are often high powered, and exoskeletal systems can attach to the person in a restrictive manner. Therefore, ensuring the mechanical safety of these devices before they come in contact with individuals is a priority. Additionally, rehabilitation systems may use novel sensor systems to measure current arm position. Used to capture and assess patient movements, these first need to be verified for accuracy by an external system. We present the ALAN-Arm, a humanoid robotic arm designed to be used for both accuracy benchmarking and safety testing of robotic rehabilitation systems. The system can be attached to a rehabilitation device and then replay generated or human movement trajectories, as well as autonomously play rehabilitation games or activities. Tests of the ALAN-Arm indicated it could recreate the path of a generated slow movement path with a maximum error of 14.2mm (mean = 5.8mm) and perform cyclic movements up to 0.6Hz with low gain (<1.5dB). Replaying human data trajectories showed the ability to largely preserve human movement characteristics with slightly higher path length and lower normalised jerk.

  3. Sports Training Support Method by Self-Coaching with Humanoid Robot

    Science.gov (United States)

    Toyama, S.; Ikeda, F.; Yasaka, T.

    2016-09-01

    This paper proposes a new training support method called self-coaching with humanoid robots. In the proposed method, two small size inexpensive humanoid robots are used because of their availability. One robot called target robot reproduces motion of a target player and another robot called reference robot reproduces motion of an expert player. The target player can recognize a target technique from the reference robot and his/her inadequate skill from the target robot. Modifying the motion of the target robot as self-coaching, the target player could get advanced cognition. Some experimental results show some possibility as the new training method and some issues of the self-coaching interface program as a future work.

  4. Robonaut 2 - The First Humanoid Robot in Space

    Science.gov (United States)

    Diftler, M. A.; Radford, N. A.; Mehling, J. S.; Abdallah, M. E.; Bridgwater, L. B.; Sanders, A. M.; Askew, R. S.; Linn, D. M.; Yamokoski, J. D.; Permenter, F. A.; hide

    2010-01-01

    NASA and General Motors have developed the second generation Robonaut, Robonaut 2 or R2, and it is scheduled to arrive on the International Space Station in late 2010 and undergo initial testing in early 2011. This state of the art, dexterous, anthropomorphic robotic torso has significant technical improvements over its predecessor making it a far more valuable tool for astronauts. Upgrades include: increased force sensing, greater range of motion, higher bandwidth and improved dexterity. R2 s integrated mechatronics design results in a more compact and robust distributed control system with a faction of the wiring of the original Robonaut. Modularity is prevalent throughout the hardware and software along with innovative and layered approaches for sensing and control. The most important aspects of the Robonaut philosophy are clearly present in this latest model s ability to allow comfortable human interaction and in its design to perform significant work using the same hardware and interfaces used by people. The following describes the mechanisms, integrated electronics, control strategies and user interface that make R2 a promising addition to the Space Station and other environments where humanoid robots can assist people.

  5. KASPAR – A Minimally Expressive Humanoid Robot for Human–Robot Interaction Research

    Directory of Open Access Journals (Sweden)

    Kerstin Dautenhahn

    2009-01-01

    Full Text Available This paper provides a comprehensive introduction to the design of the minimally expressive robot KASPAR, which is particularly suitable for human–robot interaction studies. A low-cost design with off-the-shelf components has been used in a novel design inspired from a multi-disciplinary viewpoint, including comics design and Japanese Noh theatre. The design rationale of the robot and its technical features are described in detail. Three research studies will be presented that have been using KASPAR extensively. Firstly, we present its application in robot-assisted play and therapy for children with autism. Secondly, we illustrate its use in human–robot interaction studies investigating the role of interaction kinesics and gestures. Lastly, we describe a study in the field of developmental robotics into computational architectures based on interaction histories for robot ontogeny. The three areas differ in the way as to how the robot is being operated and its role in social interaction scenarios. Each will be introduced briefly and examples of the results will be presented. Reflections on the specific design features of KASPAR that were important in these studies and lessons learnt from these studies concerning the design of humanoid robots for social interaction will also be discussed. An assessment of the robot in terms of utility of the design for human–robot interaction experiments concludes the paper.

  6. Human-Like Walking with Heel Off and Toe Support for Biped Robot

    Directory of Open Access Journals (Sweden)

    Yixiang Liu

    2017-05-01

    Full Text Available The under-actuated foot rotation that the heel of the stance leg lifts off the ground and the body rotates around the stance toe is an important feature in human walking. However, it is absent in the realized walking gait for the majority of biped robots because of the difficulty and complexity in the control it brings about. In this paper, a hybrid control approach aiming to integrate the main characteristics of human walking into a simulated seven-link biped robot is presented and then verified with simulations. The bipedal robotic gait includes a fully actuated single support phase with the stance heel supporting the body, an under-actuated single support phase, with the stance toe supporting the body, and an instantaneous double support phase when the two legs exchange their roles. The walking controller combines virtual force control and foot placement control, which are applied to the stance leg and the swing leg, respectively. The virtual force control assumes that there is a virtual force which can generate the desired torso motion on the center of mass of the torso link, and then the virtual force is applied through the real torques on each actuated joint of the stance leg to create the same effect that the virtual force would have created. The foot placement control uses a path tracking controller to follow the predefined trajectory of the swing foot when walking forward. The trajectories of the torso and the swing foot are generated based on the cart-cable model. Co-simulations in Adams and MATLAB show that the desired gait is achieved with a biped robot under the action of the proposed method.

  7. Walking motion generation, synthesis, and control for biped robot by using PGRL, LPI, and fuzzy logic.

    Science.gov (United States)

    Li, Tzuu-Hseng S; Su, Yu-Te; Lai, Shao-Wei; Hu, Jhen-Jia

    2011-06-01

    This paper proposes the implementation of fuzzy motion control based on reinforcement learning (RL) and Lagrange polynomial interpolation (LPI) for gait synthesis of biped robots. First, the procedure of a walking gait is redefined into three states, and the parameters of this designed walking gait are determined. Then, the machine learning approach applied to adjusting the walking parameters is policy gradient RL (PGRL), which can execute real-time performance and directly modify the policy without calculating the dynamic function. Given a parameterized walking motion designed for biped robots, the PGRL algorithm automatically searches the set of possible parameters and finds the fastest possible walking motion. The reward function mainly considered is first the walking speed, which can be estimated from the vision system. However, the experiment illustrates that there are some stability problems in this kind of learning process. To solve these problems, the desired zero moment point trajectory is added to the reward function. The results show that the robot not only has more stable walking but also increases its walking speed after learning. This is more effective and attractive than manual trial-and-error tuning. LPI, moreover, is employed to transform the existing motions to the motion which has a revised angle determined by the fuzzy motion controller. Then, the biped robot can continuously walk in any desired direction through this fuzzy motion control. Finally, the fuzzy-based gait synthesis control is demonstrated by tasks and point- and line-target tracking. The experiments show the feasibility and effectiveness of gait learning with PGRL and the practicability of the proposed fuzzy motion control scheme.

  8. Pre-Schoolers' Interest and Caring Behaviour around a Humanoid Robot

    Science.gov (United States)

    Ioannou, Andri; Andreou, Emily; Christofi, Maria

    2015-01-01

    This exploratory case study involved a humanoid robot, NAO, and four pre-schoolers. NAO was placed in an indoor playground together with other toys and appeared as a peer who played, talked, danced and said stories. Analysis of video recordings focused on children's behaviour around NAO and how the robot gained children's attention and…

  9. Building Robota, a Mini-Humanoid Robot for the Rehabilitation of Children with Autism

    Science.gov (United States)

    Billard, Aude; Robins, Ben; Nadel, Jacqueline; Dautenhahn, Kerstin

    2007-01-01

    The Robota project constructs a series of multiple-degrees-of-freedom, doll-shaped humanoid robots, whose physical features resemble those of a human baby. The Robota robots have been applied as assistive technologies in behavioral studies with low-functioning children with autism. These studies investigate the potential of using an imitator robot…

  10. Postural stability of biped robots and the foot-rotation indicator (FRI) point

    Energy Technology Data Exchange (ETDEWEB)

    Goswami, A. [Univ. of Pennsylvania, Philadelphia, PA (United States). Dept. of Computer and Information Science

    1999-06-01

    The focus of this paper is the problem of foot rotation in biped robots during the single-support phase. Foot rotation is an indication of postural instability, which should be carefully treated in a dynamically stable walk and avoided altogether in a statically stable walk. The author introduces the foot-rotation indicator (FRI) point, which is a point on the foot/ground-contact surface where the net ground-reaction force would have to act to keep the foot stationary. To ensure no foot rotation, the FRI point must remain within the convex hull of the foot-support area. In contrast with the ground projection of the center of mass (GCoM), which is a static criterion, the FRI point incorporates robot dynamics. As opposed to the center of pressure (CoP) -- better known as the zero-moment point (ZMP) in the robotics literature -- which may not leave the support area, the FRI point may leave the area. In fact, the position of the FRI point outside the footprint indicates the direction of the impending rotation and the magnitude of rotational moment acting on the foot. Owing to these important properties, the FRI point helps not only to monitor the state of postural stability of a biped robot during the entire gait cycle, but indicates the severity of instability of the gait as well. In response to a recent need, the paper also resolves the misconceptions surrounding the CoP/ZMP equivalence.

  11. A Hybrid Method of Analyzing Patents for Sustainable Technology Management in Humanoid Robot Industry

    Directory of Open Access Journals (Sweden)

    Jongchan Kim

    2016-05-01

    Full Text Available A humanoid, which refers to a robot that resembles a human body, imitates a human’s intelligence, behavior, sense, and interaction in order to provide various types of services to human beings. Humanoids have been studied and developed constantly in order to improve their performance. Humanoids were previously developed for simple repetitive or hard work that required significant human power. However, intelligent service robots have been developed actively these days to provide necessary information and enjoyment; these include robots manufactured for home, entertainment, and personal use. It has become generally known that artificial intelligence humanoid technology will significantly benefit civilization. On the other hand, Successful Research and Development (R & D on humanoids is possible only if they are developed in a proper direction in accordance with changes in markets and society. Therefore, it is necessary to analyze changes in technology markets and society for developing sustainable Management of Technology (MOT strategies. In this study, patent data related to humanoids are analyzed by various data mining techniques, including topic modeling, cross-impact analysis, association rule mining, and social network analysis, to suggest sustainable strategies and methodologies for MOT.

  12. A Framework for Obstacles Avoidance of Humanoid Robot Using Stereo Vision

    Directory of Open Access Journals (Sweden)

    Widodo Budiharto

    2013-04-01

    Full Text Available In this paper, we propose a framework for multiple moving obstacles avoidance strategy using stereo vision for humanoid robot in indoor environment. We assume that this model of humanoid robot is used as a service robot to deliver a cup to customer from starting point to destination point. We have successfully developed and introduced three main modules to recognize faces, to identify multiple moving obstacles and to initiate a maneuver. A group of people who are walking will be tracked as multiple moving obstacles. Predefined maneuver to avoid obstacles is applied to robot because the limitation of view angle from stereo camera to detect multiple obstacles. The contribution of this research is a new method for multiple moving obstacles avoidance strategy with Bayesian approach using stereo vision based on the direction and speed of obstacles. Depth estimation is used to obtain distance calculation between obstacles and the robot. We present the results of the experiment of the humanoid robot called Gatotkoco II which is used our proposed method and evaluate its performance. The proposed moving obstacles avoidance strategy was tested empirically and proved effective for humanoid robot.

  13. Complete Low-Cost Implementation of a Teleoperated Control System for a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Rafael Barea

    2013-01-01

    Full Text Available Humanoid robotics is a field of a great research interest nowadays. This work implements a low-cost teleoperated system to control a humanoid robot, as a first step for further development and study of human motion and walking. A human suit is built, consisting of 8 sensors, 6 resistive linear potentiometers on the lower extremities and 2 digital accelerometers for the arms. The goal is to replicate the suit movements in a small humanoid robot. The data from the sensors is wirelessly transmitted via two ZigBee RF configurable modules installed on each device: the robot and the suit. Replicating the suit movements requires a robot stability control module to prevent falling down while executing different actions involving knees flexion. This is carried out via a feedback control system with an accelerometer placed on the robot’s back. The measurement from this sensor is filtered using Kalman. In addition, a two input fuzzy algorithm controlling five servo motors regulates the robot balance. The humanoid robot is controlled by a medium capacity processor and a low computational cost is achieved for executing the different algorithms. Both hardware and software of the system are based on open platforms. The successful experiments carried out validate the implementation of the proposed teleoperated system.

  14. Numerical simulation for design of biped locomotion robots

    Energy Technology Data Exchange (ETDEWEB)

    Kume, Etsuo (Computing and Information Systems Center, Tokai Research Establishment, Japan Atomic Energy Research Inst., Ibaraki (Japan)); Takanishi, Atsuo (Dept. of Mechanical Engineering, Waseda Univ., Shinjuku, Tokyo (Japan))

    1993-04-01

    A mechanical design study of anthropomorphic walking robots for patrol and inspection in nuclear facilities is being performed at Computing and Information Systems Center (CISC) of JAERI. We mainly focus on developing a software system to find a stable walking pattern, given robot models described by links, joints and so on. One of the features of our software is that some of the body elements, such as actuators and sensors, can be modeled as material particles as well as rigid bodies. The other is that our software has the cabability of obtaining unknown part of robot motions under given part of robot motions, satisfying a stable constraint. In this paper, we present the numerical models and the simulated results. (orig.)

  15. A ZMP-Compensation Method Based on Pole-Zero Cancellation for Biped Robots

    Science.gov (United States)

    Shimmyo, Shuhei; Ohnishi, Kouhei

    This paper proposes a ZMP-compensation method based on pole-zero cancellation for biped robots. Conventionally, walking stabilization controls is achieved by using the feedback of ZMP error. In these systems, several feedback gains need to be determined, and this is done by using the optimal control theory or the pole-placement method. In the proposed method, only one feedback gain needs to be determined. Therefore, the proposed method makes it easy to design a walking stabilization controller. The effectiveness of the proposed method is confirmed from the results of simulations and experiments.

  16. Motion Stabilization by Using Laser Distance Sensor for Biped Walking Robot with Flexible Ankle Joints

    Science.gov (United States)

    Ito, Masanori; Oda, Naoki

    This paper describes an approach to motion stabilization by using laser distance sensors for biped robots with flexible ankle joints. To avoid the vibrated zero moment point (ZMP) behavior caused by mechanical resonance, a vibration control method is proposed in the paper. In our approach, the deformation of the ankle joint is measured by using laser distance sensors, and the detected deformation is translated into the equivalent reaction force at the center of gravity. The feedback of the reaction force enables the stabilization of the walking motion in a manner similar to resonance ratio control. The validity of the proposed method is evaluated by several experimental results.

  17. The Application of Adaptive Backstepping Sliding Mode for Hybrid Humanoid Robot Arm Trajectory Tracking Control

    Directory of Open Access Journals (Sweden)

    Li Qin

    2014-06-01

    Full Text Available This paper presents a methodology of the dynamic analysis and control for a novel hybrid humanoid robot arm. The hybrid humanoid robot arm under consideration consists of a spherical parallel manipulator (SPM connecting two revolute pairs in series form. The dynamic model of the hybrid humanoid robot arm has been set up based on the Lie group and Lie algebra combined with the principle of virtual work, which can avoid the processing of constraint reaction and the division of logic open chains, as well as a great quantity of differential operation. Aiming at the parameter uncertainties and disturbances, an adaptive backstepping sliding mode controller is developed. Compared with PD control in trajectory tracking simulation, the results show the advantage of the controller.

  18. Foot and body control of biped robots to walk on irregularly protruded uneven surfaces.

    Science.gov (United States)

    Park, Jong Hyeon; Kim, Eung Seo

    2009-02-01

    This correspondence proposes a control method for biped robots walking on a geometrically uneven surface with irregular protrusions. The focus is to maintain robot stability in leg and foot motions in order to adapt the foot to uneven terrains. Under the assumption that contact sensors are evenly installed at the foot soles, the geometric information under the landing foot is represented by a terrain matrix, whose elements represent the height of protruded cones. The control strategy of a landing phase (LP) is to form a large polygon with the contact points between the foot and the ground, based on the current zero-moment point (ZMP) and the locations of contact points during the transition from the LP to the stable double-support phase. The center of the polygon formed by the contact points at the end of the LP is to be used as the ZMP when the trajectory for the next step is generated. The gravity-compensated inverted-pendulum-mode-based trajectory is modified based on the newly located ZMP position and is interpolated to remove any trajectory discontinuity and to ensure a smooth transition. A series of computer simulations of a 28-degree-of-freedom (DOF) biped robot with a six-DOF environment model using SimMechanics shows that a stable compliant locomotion on uneven surfaces is successfully achieved with the proposed method.

  19. A study of the passive gait of a compass-like biped robot: Symmetry and chaos

    International Nuclear Information System (INIS)

    Goswami, A.; Espiau, B.; Thuilot, B.

    1998-01-01

    The focus of this work is a systematic study of the passive gait of a compass-like planar, biped robot on inclined slopes. The robot is kinematically equivalent to a double pendulum, possessing two kneeless legs with point masses and a third point mass at the hip joint. Three parameters, namely, the ground-slope angle and the normalized mass and length of the robot describe its gait. The authors show that in response to a continuous change in any one of its parameters, the symmetric and steady stable gait of the unpowered robot gradually evolves through a regime of bifurcations characterized by progressively complicated asymmetric gaits, eventually arriving at an apparently chaotic gait where not two steps are identical. The robot can maintain this gait indefinitely. A necessary (but not sufficient) condition for the stability of such gaits is the contraction of the phase-fluid volume. For this frictionless robot, the volume contraction, which the authors compute, is caused by the dissipative effects of the ground-impact model. In the chaotic regime, the fractal dimension of the robot's strange attractor (2.07) compared to its state-space dimension (4) also reveals strong contraction. The authors present a novel graphical technique based on the first return map that compactly captures the entire evolution of the gait, from symmetry to chaos. Additional passive dissipative elements in the robot joint results in a significant improvement in the stability and the versatility of the gait, and provide a rich repertoire for simple controls laws

  20. Design and motion control of bioinspired humanoid robot head from servo motors toward artificial muscles

    Science.gov (United States)

    Almubarak, Yara; Tadesse, Yonas

    2017-04-01

    The potential applications of humanoid robots in social environments, motivates researchers to design, and control biomimetic humanoid robots. Generally, people are more interested to interact with robots that have similar attributes and movements to humans. The head is one of most important part of any social robot. Currently, most humanoid heads use electrical motors, pneumatic actuators, and shape memory alloy (SMA) actuators for actuation. Electrical and pneumatic actuators take most of the space and would cause unsmooth motions. SMAs are expensive to use in humanoids. Recently, in many robotic projects, Twisted and Coiled Polymer (TCP) artificial muscles are used as linear actuators which take up little space compared to the motors. In this paper, we will demonstrate the designing process and motion control of a robotic head with TCP muscles. Servo motors and artificial muscles are used for actuating the head motion, which have been controlled by a cost efficient ARM Cortex-M7 based development board. A complete comparison between the two actuators is presented.

  1. The mechanical design of a humanoid robot with flexible skin sensor for use in psychiatric therapy

    Science.gov (United States)

    Burns, Alec; Tadesse, Yonas

    2014-03-01

    In this paper, a humanoid robot is presented for ultimate use in the rehabilitation of children with mental disorders, such as autism. Creating affordable and efficient humanoids could assist the therapy in psychiatric disability by offering multimodal communication between the humanoid and humans. Yet, the humanoid development needs a seamless integration of artificial muscles, sensors, controllers and structures. We have designed a human-like robot that has 15 DOF, 580 mm tall and 925 mm arm span using a rapid prototyping system. The robot has a human-like appearance and movement. Flexible sensors around the arm and hands for safe human-robot interactions, and a two-wheel mobile platform for maneuverability are incorporated in the design. The robot has facial features for illustrating human-friendly behavior. The mechanical design of the robot and the characterization of the flexible sensors are presented. Comprehensive study on the upper body design, mobile base, actuators selection, electronics, and performance evaluation are included in this paper.

  2. Design and Experimental Development of a Pneumatic Stiffness Adjustable Foot System for Biped Robots Adaptable to Bumps on the Ground

    Directory of Open Access Journals (Sweden)

    Xizhe Zang

    2017-09-01

    Full Text Available Walking on rough terrains still remains a challenge that needs to be addressed for biped robots because the unevenness on the ground can easily disrupt the walking stability. This paper proposes a novel foot system with passively adjustable stiffness for biped robots which is adaptable to small-sized bumps on the ground. The robotic foot is developed by attaching eight pneumatic variable stiffness units to the sole separately and symmetrically. Each variable stiffness unit mainly consists of a pneumatic bladder and a mechanical reversing valve. When walking on rough ground, the pneumatic bladders in contact with bumps are compressed, and the corresponding reversing valves are triggered to expel out the air, enabling the pneumatic bladders to adapt to the bumps with low stiffness; while the other pneumatic bladders remain rigid and maintain stable contact with the ground, providing support to the biped robot. The performances of the proposed foot system, including the variable stiffness mechanism, the adaptability on the bumps of different heights, and the application on a biped robot prototype are demonstrated by various experiments.

  3. Model-based Robotic Dynamic Motion Control for the Robonaut 2 Humanoid Robot

    Science.gov (United States)

    Badger, Julia M.; Hulse, Aaron M.; Taylor, Ross C.; Curtis, Andrew W.; Gooding, Dustin R.; Thackston, Allison

    2013-01-01

    Robonaut 2 (R2), an upper-body dexterous humanoid robot, has been undergoing experimental trials on board the International Space Station (ISS) for more than a year. R2 will soon be upgraded with two climbing appendages, or legs, as well as a new integrated model-based control system. This control system satisfies two important requirements; first, that the robot can allow humans to enter its workspace during operation and second, that the robot can move its large inertia with enough precision to attach to handrails and seat track while climbing around the ISS. This is achieved by a novel control architecture that features an embedded impedance control law on the motor drivers called Multi-Loop control which is tightly interfaced with a kinematic and dynamic coordinated control system nicknamed RoboDyn that resides on centralized processors. This paper presents the integrated control algorithm as well as several test results that illustrate R2's safety features and performance.

  4. Optimal Trajectory Generation for Walking Up and Down a Staircase with a Biped Robot Using Genetic Algorithm (GA)

    Science.gov (United States)

    Kim, Eunsu; Kim, Manseok; Kim, Jong-Wook

    In this paper, a humanoid is simulated and implemented to walk up and down a staircase using the blending polynomial and genetic algorithm (GA). Both ascending and descending a staircase are scheduled by four steps. Each step mimics natural gait of human being and is easy to analyze and implement. Optimal trajectories of ten motors in a lower extremity of a humanoid are rigorously computed to simultaneously satisfy stability condition, walking constraints, and energy efficiency requirements. As an optimization method, GA is applied to search optimal trajectory parameters in blending polynomials. The feasibility of this approach will be validated by simulation with a small humanoid robot.

  5. Vision based motion planning of humanoid robot arm for grasping task

    International Nuclear Information System (INIS)

    Rajpar, A.H.; Manganhar, A.L.; Chandio, A.F.

    2009-01-01

    This paper presents the robust and efficient motion control approach for a redundant humanoid arm of BHR-02 (Beijing Humanoid Robot-02). This work is based on the numerical algorithm for computing the Inverse Kinematics of redundant arm and stereo based vision system to detect the pose and position of target object. Forward recursion formula with backward cycle computation method is used to reach in the vicinity of target object. Then BFS (Broyden Fletcher Shanno) method is then used to grasp object in real-time. Vision is a very important non contact sensor for humanoid robots. A method combining visual feed forward and visual feedback is proposed. Visual feed forward facilitates the reach in the vicinity of the object and reduces the manipulation time. Visual feedback increases the robustness by compensating the weak calibration errors. Effectiveness of the proposed strategy is proved through experiments. (author)

  6. Walking Planning Based on Artificial Vector Field with Prediction Simulation for Biped Robot

    Science.gov (United States)

    Yamaguchi, Takashi; Shibata, Masaaki

    This paper proposes a way of gait trajectory generation with artificial vector field for stable walking of a biped robot. The tip of the robot on walking can often deviate from the desired trajectory by the disturbances forced by unexpected outside factors. In our approach, though no prepared trajectory is specified a priori, the tip follows the artificial vectors designed in the workspace. Moreover, the prediction simulation is performed on-line. The simulator judges the stability under comparison with the present state and the prediction results, and then the gait parameters are adaptively improved in feedforward for the stable walk. The numerical and physical experimental results show the validity of the proposed method in the continuous walk.

  7. Design, Modeling and Control of a Biped Line-Walking Robot

    Directory of Open Access Journals (Sweden)

    Ludan Wang

    2010-12-01

    Full Text Available The subject of this paper is the design and analysis of a biped line walking robot for inspection of power transmission lines. With a novel mechanism the centroid of the robot can be concentrated on the axis of hip joint to minimize the drive torque of the hip joint. The mechanical structure of the robot is discussed, as well as forward kinematics. Dynamic model is established in this paper to analyze the inverse kinematics for motion planning. The line-walking cycle of the line-walking robot is composed of a single-support phase and a double-support phase. Locomotion of the line-walking robot is discussed in details and the obstacle-navigation process is planed according to the structure of power transmission line. To fulfill the demands of line-walking, a control system and trajectories generation method are designed for the prototype of the line-walking robot. The feasibility of this concept is then confirmed by performing experiments with a simulated line environment.

  8. Design, Modeling and Control of a Biped Line-Walking Robot

    Directory of Open Access Journals (Sweden)

    Ludan Wang

    2011-01-01

    Full Text Available The subject of this paper is the design and analysis of a biped line walking robot for inspection of power transmission lines. With a novel mechanism the centroid of the robot can be concentrated on the axis of hip joint to minimize the drive torque of the hip joint. The mechanical structure of the robot is discussed, as well as forward kinematics. Dynamic model is established in this paper to analyze the inverse kinematics for motion planning. The line-walking cycle of the line-walking robot is composed of a single-support phase and a double-support phase. Locomotion of the line-walking robot is discussed in details and the obstacle-navigation process is planed according to the structure of power transmission line. To fulfill the demands of line-walking, a control system and trajectories generation method are designed for the prototype of the line-walking robot. The feasibility of this concept is then confirmed by performing experiments with a simulated line environment.

  9. Dynamics Analysis of Fluid-Structure Interaction for a Biologically-Inspired Biped Robot Running on Water

    Directory of Open Access Journals (Sweden)

    Linsen Xu

    2013-10-01

    Full Text Available A kinematics analysis of a biologically-inspired biped robot is carried out, and the trajectory of the robot foot is understood. For calculating the pressure distribution across a robot foot before touching the surface of water, the compression flow of air and the depression motion of the water surface are considered. The pressure model after touching the water surface has been built according to the theory of rigid body planar motion. The multi-material ALE algorithm is applied to emulate the course of the foot slapping water. The simulation results indicate that the model of the bionic robot can satisfy the water-running function. The real prototype of the robot is manufactured to test its function of running on water. When the biped robot is running on water, the average force generated by the propulsion mechanism is about 1.3N. The experimental results show that the propulsion system can satisfy the requirement of biped robot running on water.

  10. A biomimetic framework for coordinating and controlling whole body movements in humanoid robots.

    Science.gov (United States)

    Morasso, Pietro; Rea, Francesco; Mohan, Vishwanathan

    2013-01-01

    An integrated model for the coordination of whole body movements of a humanoid robot with a compliant ankle similar to the human case is described. It includes a synergy formation part, which takes into account the motor redundancy of the body model, and an intermittent controller, which stabilizes in a robust way postural sway movements, thus combining the hip strategy with ankle strategy.

  11. Bodily mood expression : Recognize moods from functional behaviors of humanoid robots

    NARCIS (Netherlands)

    Xu, J.; Broekens, J.; Hindriks, K.; Neerincx, M.A.

    2013-01-01

    Our goal is to develop bodily mood expression that can be used during the execution of functional behaviors for humanoid social robots. Our model generates such expression by stylizing behaviors through modulating behavior parameters within functional bounds. We have applied this approach to two

  12. Development of a humanoid robot hand with coupling four-bar linkage

    Directory of Open Access Journals (Sweden)

    Xinhua Liu

    2017-01-01

    Full Text Available To improve the operating performance of robots’ end-effector, a humanoid robot hand based on coupling four-bar linkage was designed. An improved transmission system was proposed for the base joint of the thumb. Thus, a far greater motion range and more reasonable layout of the palm were obtained. Moreover, the mathematical model for kinematics simulation was presented based on the Assur linkage group theory to verify and optimize the proposed structure. To research the motion relationships between the fingers and the object in the process of grasping object, the grasping analysis of multi-finger manipulation was presented based on contact kinematics. Finally, a prototype of the humanoid robot hand was produced by a three-dimensional printer, and a kinematics simulation example and the workspace solving of the humanoid robot hand were carried out. The results showed that the velocities of finger joints approximately met the proportion relationship 1:1:1, which accorded with the grasping law of the human hand. In addition, the large workspace, reasonable layout, and good manipulability of the humanoid robot hand were verified.

  13. Experimentally-based optimization of contact parameters in dynamics simulation of humanoid robots

    NARCIS (Netherlands)

    Vivian, Michele; Reggiani, Monica; Sartori, Massimo

    2013-01-01

    With this work we introduce a novel methodology for the simulation of walking of a humanoid robot. Motion capture technology is used to calibrate the dynamics engine internal parameters and validate the simulated motor task. Results showed the calibrated contact model allows predicting dynamically

  14. Brain response to a humanoid robot in areas implicated in the perception of human emotional gestures.

    Science.gov (United States)

    Chaminade, Thierry; Zecca, Massimiliano; Blakemore, Sarah-Jayne; Takanishi, Atsuo; Frith, Chris D; Micera, Silvestro; Dario, Paolo; Rizzolatti, Giacomo; Gallese, Vittorio; Umiltà, Maria Alessandra

    2010-07-21

    The humanoid robot WE4-RII was designed to express human emotions in order to improve human-robot interaction. We can read the emotions depicted in its gestures, yet might utilize different neural processes than those used for reading the emotions in human agents. Here, fMRI was used to assess how brain areas activated by the perception of human basic emotions (facial expression of Anger, Joy, Disgust) and silent speech respond to a humanoid robot impersonating the same emotions, while participants were instructed to attend either to the emotion or to the motion depicted. Increased responses to robot compared to human stimuli in the occipital and posterior temporal cortices suggest additional visual processing when perceiving a mechanical anthropomorphic agent. In contrast, activity in cortical areas endowed with mirror properties, like left Broca's area for the perception of speech, and in the processing of emotions like the left anterior insula for the perception of disgust and the orbitofrontal cortex for the perception of anger, is reduced for robot stimuli, suggesting lesser resonance with the mechanical agent. Finally, instructions to explicitly attend to the emotion significantly increased response to robot, but not human facial expressions in the anterior part of the left inferior frontal gyrus, a neural marker of motor resonance. Motor resonance towards a humanoid robot, but not a human, display of facial emotion is increased when attention is directed towards judging emotions. Artificial agents can be used to assess how factors like anthropomorphism affect neural response to the perception of human actions.

  15. Control of Speed and Power in a Humanoid Robot Arm Using Pneumatic Actuators for Human-Robot Coexisting Environment

    Science.gov (United States)

    Hoshino, Kiyoshi

    A new type of humanoid robot arm which can coexist and be interactive with human beings are looked for. For the purpose of implementation of human smooth and fast movement to a pneumatic robot, the author used a humanoid robot arm with pneumatic agonist-antagonist actuators as endoskeletons which has control mechanism in the stiffness of each joint, and the controllability was experimentally discussed. Using Kitamori's method to experimentally decide the control gains and using I-PD controller, three joints of the humanoid robot arm were experimentally controlled. The damping control algorithm was also adopted to the wrist joint, to modify the speed in accordance with the power. The results showed that the controllability to step-wise input was less than one degree in error to follow the target angles, and the time constant was less than one second. The simultaneous input of command to three joints was brought about the overshoot of about ten percent increase in error. The humanoid robot arm can generate the calligraphic motions, moving quickly at some times but slowly at other times, or particularly softly on some occasions but stiffly on other occasions at high accuracy.

  16. A study of the passive gait of a compass-like biped robot: Symmetry and chaos

    Energy Technology Data Exchange (ETDEWEB)

    Goswami, A.; Espiau, B. [INRIA Rhone-Alpes, Montbonnot Saint Martin (France); Thuilot, B. [Univ. Blaise Pascal, Aubiere (France)

    1998-12-01

    The focus of this work is a systematic study of the passive gait of a compass-like planar, biped robot on inclined slopes. The robot is kinematically equivalent to a double pendulum, possessing two kneeless legs with point masses and a third point mass at the hip joint. Three parameters, namely, the ground-slope angle and the normalized mass and length of the robot describe its gait. The authors show that in response to a continuous change in any one of its parameters, the symmetric and steady stable gait of the unpowered robot gradually evolves through a regime of bifurcations characterized by progressively complicated asymmetric gaits, eventually arriving at an apparently chaotic gait where not two steps are identical. The robot can maintain this gait indefinitely. A necessary (but not sufficient) condition for the stability of such gaits is the contraction of the phase-fluid volume. For this frictionless robot, the volume contraction, which the authors compute, is caused by the dissipative effects of the ground-impact model. In the chaotic regime, the fractal dimension of the robot`s strange attractor (2.07) compared to its state-space dimension (4) also reveals strong contraction. The authors present a novel graphical technique based on the first return map that compactly captures the entire evolution of the gait, from symmetry to chaos. Additional passive dissipative elements in the robot joint results in a significant improvement in the stability and the versatility of the gait, and provide a rich repertoire for simple controls laws.

  17. Human-Inspired Eigenmovement Concept Provides Coupling-Free Sensorimotor Control in Humanoid Robot.

    Science.gov (United States)

    Alexandrov, Alexei V; Lippi, Vittorio; Mergner, Thomas; Frolov, Alexander A; Hettich, Georg; Husek, Dusan

    2017-01-01

    Control of a multi-body system in both robots and humans may face the problem of destabilizing dynamic coupling effects arising between linked body segments. The state of the art solutions in robotics are full state feedback controllers. For human hip-ankle coordination, a more parsimonious and theoretically stable alternative to the robotics solution has been suggested in terms of the Eigenmovement (EM) control. Eigenmovements are kinematic synergies designed to describe the multi DoF system, and its control, with a set of independent, and hence coupling-free , scalar equations. This paper investigates whether the EM alternative shows "real-world robustness" against noisy and inaccurate sensors, mechanical non-linearities such as dead zones, and human-like feedback time delays when controlling hip-ankle movements of a balancing humanoid robot. The EM concept and the EM controller are introduced, the robot's dynamics are identified using a biomechanical approach, and robot tests are performed in a human posture control laboratory. The tests show that the EM controller provides stable control of the robot with proactive ("voluntary") movements and reactive balancing of stance during support surface tilts and translations. Although a preliminary robot-human comparison reveals similarities and differences, we conclude (i) the Eigenmovement concept is a valid candidate when different concepts of human sensorimotor control are considered, and (ii) that human-inspired robot experiments may help to decide in future the choice among the candidates and to improve the design of humanoid robots and robotic rehabilitation devices.

  18. Unix Philosophy and the Real World: Control Software for Humanoid Robots

    Directory of Open Access Journals (Sweden)

    Neil Thomas Dantam

    2016-03-01

    Full Text Available Robot software combines the challenges of general purpose and real-time software, requiring complex logic and bounded resource use. Physical safety, particularly for dynamic systems such as humanoid robots, depends on correct software. General purpose computation has converged on unix-like operating systems -- standardized as POSIX, the Portable Operating System Interface -- for devices from cellular phones to supercomputers. The modular, multi-process design typical of POSIX applications is effective for building complex and reliable software. Absent from POSIX, however, is an interproccess communication mechanism that prioritizes newer data as typically desired for control of physical systems. We address this need in the Ach communication library which provides suitable semantics and performance for real-time robot control. Although initially designed for humanoid robots, Ach has broader applicability to complex mechatronic devices -- humanoid and otherwise -- that require real-time coupling of sensors, control, planning, and actuation. The initial user space implementation of Ach was limited in the ability to receive data from multiple sources. We remove this limitation by implementing Ach as a Linux kernel module, enabling Ach's high-performance and latest-message-favored semantics within conventional POSIX communication pipelines. We discuss how these POSIX interfaces and design principles apply to robot software, and we present a case study using the Ach kernel module for communication on the Baxter robot.

  19. Mechatronic Design of a New Humanoid Robot with Hybrid Parallel Actuation

    Directory of Open Access Journals (Sweden)

    Vítor Santos

    2012-10-01

    Full Text Available Humanoid robotics is unquestionably a challenging and long-term field of research. Of the numerous and most urgent challenges to tackle, autonomous and efficient locomotion may possibly be the most underdeveloped at present in the research community. Therefore, to pursue studies in relation to autonomy with efficient locomotion, the authors have been developing a new teen-sized humanoid platform with hybrid characteristics. The hybrid nature is clear in the mixed actuation based on common electrical motors and passive actuators attached in parallel to the motors. This paper presents the mechatronic design of the humanoid platform, focusing mainly on the mechanical structure, the design and simulation of the hybrid joints, and the different subsystems implemented. Trying to keep the appropriate human proportions and main degrees of freedom, the developed platform utilizes a distributed control architecture and a rich set of sensing capabilities, both ripe for future development and research.

  20. Biped locomotion control with compliance; Compliance wo mochiita nisoku soko robot no undo seigyo

    Energy Technology Data Exchange (ETDEWEB)

    Kawaji, S.; Ogasawara, K.; Iimori, J. [Kumamoto University, Kumamoto (Japan)

    1995-12-20

    Realization of stable walking motion of biped locomotive robot is one of difficult control problems, but it is very interesting both theoretically and practically from the view point of motion control. The authors have already reported that the locomotion rhythm plays an important role in walking motions, and confirmed experimentally that the control method based on the locomotion rhythm is effective. But, many uncertainties, e.g., the changes of robot dynamics and the interaction between the robot and the floor, may make the locomotion rhythm irregular. In this paper, we introduce the compliance into the control system in order to modify the original reference locomotion rhythm for stable walking under the existence of the uncertainties. Concretely a compliance control system for the contact leg is designed to modify the rhythm by changing the posture of the leg corresponding to the force acting from the body so that the robot may keep the equilibrium state dynamically. Finally the simulation results are given to illustrate the effectiveness of the proposed compliance control system. 21 refs., 12 figs., 3 tabs.

  1. Design and Nonlinear Control of a 2-DOF Flexible Parallel Humanoid Arm Joint Robot

    Directory of Open Access Journals (Sweden)

    Leijie Jiang

    2017-01-01

    Full Text Available The paper focuses on the design and nonlinear control of the humanoid wrist/shoulder joint based on the cable-driven parallel mechanism which can realize roll and pitch movement. In view of the existence of the flexible parts in the mechanism, it is necessary to solve the vibration control of the flexible wrist/shoulder joint. In this paper, a cable-driven parallel robot platform is developed for the experiment study of the humanoid wrist/shoulder joint. And the dynamic model of the mechanism is formulated by using the coupling theory of the flexible body’s large global motion and small flexible deformation. Based on derived dynamics, antivibration control of the joint robot is studied with a nonlinear control method. Finally, simulations and experiments were performed to validate the feasibility of the developed parallel robot prototype and the proposed control scheme.

  2. Generating Gaits for Biped Robots Using Multiple Dynamic Passivization of Joint Control

    Science.gov (United States)

    Ishida, Minoru; Kato, Shohei; Kanoh, Masayoshi; Itoh, Hidenori

    In the research field of bipedal locomotion, a central pattern generator (CPG) and passive dynamic walking (PDW) have attracted much attention. In this paper, we describe a motion control system for biped robots based on dynamic joint passivization. Our motion control system is based on a mixture of the CPG and PDW, that is, the multiple dynamic passivization of joint control (MDPJC). Our intention is to make the joint control of the swing leg temporarily passive in the swing leg phase. The important part is the passive phase time and the switch timings of the joint control. We optimize the switch timing parameters using simulated annealing with advanced adaptive neighborhood (SA/AAN). Experiments using the motion control system based on multiple dynamic passivization of joint control successfully generated energy efficient walking and enabled superior gaits.

  3. Audio-visual feedback improves the BCI performance in the navigational control of a humanoid robot

    Directory of Open Access Journals (Sweden)

    Emmanuele eTidoni

    2014-06-01

    Full Text Available Advancement in brain computer interfaces (BCI technology allows people to actively interact in the world through surrogates. Controlling real humanoid robots using BCI as intuitively as we control our body represents a challenge for current research in robotics and neuroscience. In order to successfully interact with the environment the brain integrates multiple sensory cues to form a coherent representation of the world. Cognitive neuroscience studies demonstrate that multisensory integration may imply a gain with respect to a single modality and ultimately improve the overall sensorimotor performance. For example, reactivity to simultaneous visual and auditory stimuli may be higher than to the sum of the same stimuli delivered in isolation or in temporal sequence. Yet, knowledge about whether audio-visual integration may improve the control of a surrogate is meager. To explore this issue, we provided human footstep sounds as audio feedback to BCI users while controlling a humanoid robot. Participants were asked to steer their robot surrogate and perform a pick-and-place task through BCI-SSVEPs. We found that audio-visual synchrony between footsteps sound and actual humanoid’s walk reduces the time required for steering the robot. Thus, auditory feedback congruent with the humanoid actions may improve motor decisions of the BCI’s user and help in the feeling of control over it. Our results shed light on the possibility to increase robot’s control through the combination of multisensory feedback to a BCI user.

  4. Interdisciplinary Construction and Implementation of a Human sized Humanoid Robot by master students

    DEFF Research Database (Denmark)

    Helbo, Jan; Svendsen, Mads Sølver

    2009-01-01

    former students. In the last three years three student groups from respectively Department of Mechanical Engineering and Electronic Systems have been working on the project.  The robot AAU-BOT1 is designed, manufactured, assembled, instrumented and the time for walking should be possible in the near......With limited funding it seemed a very good idea to encourage master students to design and construct their own human size biped robot.  Because this task is huge and very interdisciplinary different expertises were covered by students from different departments who in turn took over results from...

  5. Classification of obstacle shape for generating walking path of humanoid robot

    Energy Technology Data Exchange (ETDEWEB)

    Park, Chan Soo; Kim, Do Ik [Korea Institute of Science and Technology, Seoul (Korea, Republic of)

    2013-02-15

    To generate the walking path of a humanoid robot in an unknown environment, the shapes of obstacles around the robot should be detected accurately. However, doing so incurs a very large computational cast. Therefore this study proposes a method to classify the obstacle shape into three types: a shape small enough for the robot to go over, a shape planar enough for the robot foot to make contact with, and an uncertain shape that must be avoided by the robot. To classify the obstacle shape, first, the range and the number of the obstacles is detected. If an obstacle can make contact with the robot foot, the shape of an obstacle is accurately derived. If an obstacle has uncertain shape or small size, the shape of an obstacle is not detected to minimize the computational load. Experimental results show that the proposed algorithm efficiently classifies the shapes of obstacles around the robot in real time with low computational load.

  6. Classification of obstacle shape for generating walking path of humanoid robot

    International Nuclear Information System (INIS)

    Park, Chan Soo; Kim, Do Ik

    2013-01-01

    To generate the walking path of a humanoid robot in an unknown environment, the shapes of obstacles around the robot should be detected accurately. However, doing so incurs a very large computational cast. Therefore this study proposes a method to classify the obstacle shape into three types: a shape small enough for the robot to go over, a shape planar enough for the robot foot to make contact with, and an uncertain shape that must be avoided by the robot. To classify the obstacle shape, first, the range and the number of the obstacles is detected. If an obstacle can make contact with the robot foot, the shape of an obstacle is accurately derived. If an obstacle has uncertain shape or small size, the shape of an obstacle is not detected to minimize the computational load. Experimental results show that the proposed algorithm efficiently classifies the shapes of obstacles around the robot in real time with low computational load

  7. Feasibility of using a humanoid robot to elicit communicational response in children with mild autism

    Science.gov (United States)

    Malik, Norjasween Abdul; Shamsuddin, Syamimi; Yussof, Hanafiah; Azfar Miskam, Mohd; Che Hamid, Aminullah

    2013-12-01

    Research evidences are accumulating with regards to the potential use of robots for the rehabilitation of children with autism. The purpose of this paper is to elaborate on the results of communicational response in two children with autism during interaction with the humanoid robot NAO. Both autistic subjects in this study have been diagnosed with mild autism. Following the outcome from our first pilot study; the aim of this current experiment is to explore the application of NAO robot to engage with a child and further teach about emotions through a game-centered and song-based approach. The experiment procedure involved interaction between humanoid robot NAO with each child through a series of four different modules. The observation items are based on ten items selected and referenced to GARS-2 (Gilliam Autism Rating Scale-second edition) and also input from clinicians and therapists. The results clearly indicated that both of the children showed optimistic response through the interaction. Negative responses such as feeling scared or shying away from the robot were not detected. Two-way communication between the child and robot in real time significantly gives positive impact in the responses towards the robot. To conclude, it is feasible to include robot-based interaction specifically to elicit communicational response as a part of the rehabilitation intervention of children with autism.

  8. Visual SLAM and Moving-object Detection for a Small-size Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Yin-Tien Wang

    2010-09-01

    Full Text Available In the paper, a novel moving object detection (MOD algorithm is developed and integrated with robot visual Simultaneous Localization and Mapping (vSLAM. The moving object is assumed to be a rigid body and its coordinate system in space is represented by a position vector and a rotation matrix. The MOD algorithm is composed of detection of image features, initialization of image features, and calculation of object coordinates. Experimentation is implemented on a small-size humanoid robot and the results show that the performance of the proposed algorithm is efficient for robot visual SLAM and moving object detection.

  9. Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks.

    Science.gov (United States)

    Juang, Chia-Feng; Yeh, Yen-Ting

    2017-06-30

    This paper proposes the optimization of a fully connected recurrent neural network (FCRNN) using advanced multiobjective continuous ant colony optimization (AMO-CACO) for the multiobjective gait generation of a biped robot (the NAO). The FCRNN functions as a central pattern generator and is optimized to generate angles of the hip roll and pitch, the knee pitch, and the ankle pitch and roll. The performance of the FCRNN-generated gait is evaluated according to the walking speed, trajectory straightness, oscillations of the body in the pitch and yaw directions, and walking posture, subject to the basic constraints that the robot cannot fall down and must walk forward. This paper formulates this gait generation task as a constrained multiobjective optimization problem and solves this problem through an AMO-CACO-based evolutionary learning approach. The AMO-CACO finds Pareto optimal solutions through ant-path selection and sampling operations by introducing an accumulated rank for the solutions in each single-objective function into solution sorting to improve learning performance. Simulations are conducted to verify the AMO-CACO-based FCRNN gait generation performance through comparisons with different multiobjective optimization algorithms. Selected software-designed Pareto optimal FCRNNs are then applied to control the gait of a real NAO robot.

  10. Concurrent Path Planning with One or More Humanoid Robots

    Science.gov (United States)

    Sanders, Adam M. (Inventor); Reiland, Matthew J. (Inventor)

    2014-01-01

    A robotic system includes a controller and one or more robots each having a plurality of robotic joints. Each of the robotic joints is independently controllable to thereby execute a cooperative work task having at least one task execution fork, leading to multiple independent subtasks. The controller coordinates motion of the robot(s) during execution of the cooperative work task. The controller groups the robotic joints into task-specific robotic subsystems, and synchronizes motion of different subsystems during execution of the various subtasks of the cooperative work task. A method for executing the cooperative work task using the robotic system includes automatically grouping the robotic joints into task-specific subsystems, and assigning subtasks of the cooperative work task to the subsystems upon reaching a task execution fork. The method further includes coordinating execution of the subtasks after reaching the task execution fork.

  11. Optimal Trajectory Planning Method Using Inequality State Constraint for a Biped Walking Robot with Upper Body Mass

    Science.gov (United States)

    Huang, Qingjiu; Hase, Takamasa; Ono, Kyosuke

    For studies of biped walking robots, energy-efficiency is an important issue. We have proposed an optimal-trajectory planning method based on a function approximation method, and applied it to a 2D biped walking model. With this method, we obtained the solution of minimal square integration value of the input torque. Previously in the literature, this method included only an equality state constraint. However, in this paper, we include an inequality state constraint to restrict the joint-angle range. In addition, walking experiments were performed to verify the effectiveness of this method. Results showed that stable walking of a 0.6 s period and 0.3 m/s speed was realized. Finally, we evaluated the robot's energy-efficiency using Specific Cost analysis.

  12. Fuzzy neural network quadratic stabilization output feedback control for biped robots via H/sub /spl infin// approach.

    Science.gov (United States)

    Liu, Zhi; Li, Chunwen

    2003-01-01

    A novel fuzzy neural network (FNN) quadratic stabilization output feedback control scheme is proposed for the trajectory tracking problems of biped robots with an FNN nonlinear observer. First, a robust quadratic stabilization FNN nonlinear observer is presented to estimate the joint velocities of a biped robot, in which an H/sub /spl infin// approach and variable structure control (VSC) are embedded to attenuate the effect of external disturbances and parametric uncertainties. After the construction of the FNN nonlinear observer, a quadratic stabilization FNN controller is developed with a robust hybrid control scheme. As the employment of a quadratic stability approach, not only does it afford the possibility of trading off the design between FNN, H/sub /spl infin// optimal control, and VSC, but conservative estimation of the FNN reconstruction error bound is also avoided by considering the system matrix uncertainty separately. It is shown that all signals in the closed-loop control system are bounded.

  13. Numerical Simulations of Level-Ground Walking Based on Passive Walk for Planar Biped Robots with Torso by Hip Actuators

    Science.gov (United States)

    Narukawa, Terumasa; Takahashi, Masaki; Yoshida, Kazuo

    This study aims at a design technique of energy-efficient biped walking robots on level ground with simple mechanisms. To do this, we focus on the passive dynamic walkers which can walk stably down a shallow slope without actuators and controllers. On level ground, active walking should be studied because the mechanical energy is mainly lost through the swing-leg impacts with the ground. In this paper, numerical simulations show that planar biped robots with torso can walk efficiently on level ground over a wide range of speed by only using hip actuators. The hip actuators are used for a torso and swing-leg control based on passive-dynamic walking. The torso is used to generate active power replacing gravity used in the case of the passive walk. The swing-leg control is introduced to walk stably over a wide range of speed.

  14. HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Fady Alnajjar

    2010-01-01

    Full Text Available To advance robotics toward real-world applications, a growing body of research has focused on the development of control systems for humanoid robots in recent years. Several approaches have been proposed to support the learning stage of such controllers, where the robot can learn new behaviors by observing and/or receiving direct guidance from a human or even another robot. These approaches require dynamic learning and memorization techniques, which the robot can use to reform and update its internal systems continuously while learning new behaviors. Against this background, this study investigates a new approach to the development of an incremental learning and memorization model. This approach was inspired by the principles of neuroscience, and the developed model was named “Hierarchical Constructive Backpropagation with Memory” (HCBPM. The validity of the model was tested by teaching a humanoid robot to recognize a group of objects through natural interaction. The experimental results indicate that the proposed model efficiently enhances real-time machine learning in general and can be used to establish an environment suitable for social learning between the robot and the user in particular.

  15. Inverse Kinematics of a Humanoid Robot with Non-Spherical Hip: A Hybrid Algorithm Approach

    Directory of Open Access Journals (Sweden)

    Rafael Cisneros Limón

    2013-04-01

    Full Text Available This paper describes an approach to solve the inverse kinematics problem of humanoid robots whose construction shows a small but non negligible offset at the hip which prevents any purely analytical solution to be developed. Knowing that a purely numerical solution is not feasible due to variable efficiency problems, the proposed one first neglects the offset presence in order to obtain an approximate “solution” by means of an analytical algorithm based on screw theory, and then uses it as the initial condition of a numerical refining procedure based on the Levenberg-Marquardt algorithm. In this way, few iterations are needed for any specified attitude, making it possible to implement the algorithm for real-time applications. As a way to show the algorithm's implementation, one case of study is considered throughout the paper, represented by the SILO2 humanoid robot.

  16. Brain response to a humanoid robot in areas implicated in the perception of human emotional gestures.

    Directory of Open Access Journals (Sweden)

    Thierry Chaminade

    2010-07-01

    Full Text Available The humanoid robot WE4-RII was designed to express human emotions in order to improve human-robot interaction. We can read the emotions depicted in its gestures, yet might utilize different neural processes than those used for reading the emotions in human agents.Here, fMRI was used to assess how brain areas activated by the perception of human basic emotions (facial expression of Anger, Joy, Disgust and silent speech respond to a humanoid robot impersonating the same emotions, while participants were instructed to attend either to the emotion or to the motion depicted.Increased responses to robot compared to human stimuli in the occipital and posterior temporal cortices suggest additional visual processing when perceiving a mechanical anthropomorphic agent. In contrast, activity in cortical areas endowed with mirror properties, like left Broca's area for the perception of speech, and in the processing of emotions like the left anterior insula for the perception of disgust and the orbitofrontal cortex for the perception of anger, is reduced for robot stimuli, suggesting lesser resonance with the mechanical agent. Finally, instructions to explicitly attend to the emotion significantly increased response to robot, but not human facial expressions in the anterior part of the left inferior frontal gyrus, a neural marker of motor resonance.Motor resonance towards a humanoid robot, but not a human, display of facial emotion is increased when attention is directed towards judging emotions.Artificial agents can be used to assess how factors like anthropomorphism affect neural response to the perception of human actions.

  17. Gait Parameters Optimization and Real-Time Trajectory Planning for Humanoid Robots

    Science.gov (United States)

    Fan, Shouwen; Sun, Min

    Trajectory planning of humanoid robots not only is required to satisfy kinematic constraints, but also other criteria such as staying balance, having desirable upper and lower postures, having smooth movement etc, is needed to maintain certain properties. In this paper, calculation formulas of driving torque for each joint of humanoid robot are derived based on dynamics equation, mathematic models for gait parameters optimization are established via introducing energy consumption indexes. gait parameters are optimized utilizing genetic algorithm. A new approach for real-time trajectory planning of humanoid robots is proposed based on fuzzy neural network (FNN), Zero Moment Point (ZMP) criteria, B-spline interpolation and inverse displacement analysis model. The minimum energy consumption gait, which similar with human motion, are used to train FNN, b-spline curves are utilized to fit dispersive Center of Gravity (COG) position and body posture datas, based on above models and inverse displacement model, trajectory of COG and desired body posture can be mapped into trajectory of joint space conveniently. Simulation results demonstrate feasibility and effectiveness of above real-time trajectory planning method. Numeric examples are given for illustration.

  18. Human-Inspired Eigenmovement Concept Provides Coupling-Free Sensorimotor Control in Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Thomas Mergner

    2017-04-01

    Full Text Available Control of a multi-body system in both robots and humans may face the problem of destabilizing dynamic coupling effects arising between linked body segments. The state of the art solutions in robotics are full state feedback controllers. For human hip-ankle coordination, a more parsimonious and theoretically stable alternative to the robotics solution has been suggested in terms of the Eigenmovement (EM control. Eigenmovements are kinematic synergies designed to describe the multi DoF system, and its control, with a set of independent, and hence coupling-free, scalar equations. This paper investigates whether the EM alternative shows “real-world robustness” against noisy and inaccurate sensors, mechanical non-linearities such as dead zones, and human-like feedback time delays when controlling hip-ankle movements of a balancing humanoid robot. The EM concept and the EM controller are introduced, the robot's dynamics are identified using a biomechanical approach, and robot tests are performed in a human posture control laboratory. The tests show that the EM controller provides stable control of the robot with proactive (“voluntary” movements and reactive balancing of stance during support surface tilts and translations. Although a preliminary robot-human comparison reveals similarities and differences, we conclude (i the Eigenmovement concept is a valid candidate when different concepts of human sensorimotor control are considered, and (ii that human-inspired robot experiments may help to decide in future the choice among the candidates and to improve the design of humanoid robots and robotic rehabilitation devices.

  19. Vestibular humanoid postural control.

    Science.gov (United States)

    Mergner, Thomas; Schweigart, Georg; Fennell, Luminous

    2009-01-01

    Many of our motor activities require stabilization against external disturbances. This especially applies to biped stance since it is inherently unstable. Disturbance compensation is mainly reactive, depending on sensory inputs and real-time sensor fusion. In humans, the vestibular system plays a major role. When there is no visual space reference, vestibular-loss clearly impairs stance stability. Most humanoid robots do not use a vestibular system, but stabilize upright body posture by means of center of pressure (COP) control. We here suggest using in addition a vestibular sensor and present a biologically inspired vestibular sensor along with a human-inspired stance control mechanism. We proceed in two steps. First, in an introductory review part, we report on relevant human sensors and their role in stance control, focusing on own models of transmitter fusion in the vestibular sensor and sensor fusion in stance control. In a second, experimental part, the models are used to construct an artificial vestibular system and to embed it into the stance control of a humanoid. The robot's performance is investigated using tilts of the support surface. The results are compared to those of humans. Functional significance of the vestibular sensor is highlighted by comparing vestibular-able with vestibular-loss states in robot and humans. We show that a kinematic body-space sensory feedback (vestibular) is advantageous over a kinetic one (force cues) for dynamic body-space balancing. Our embodiment of human sensorimotor control principles into a robot is more than just bionics. It inspired our biological work (neurorobotics: 'learning by building', proof of principle, and more). We envisage a future clinical use in the form of hardware-in-the-loop simulations of neurological symptoms for improving diagnosis and therapy and designing medical assistive devices.

  20. Grounding language in action and perception: from cognitive agents to humanoid robots.

    Science.gov (United States)

    Cangelosi, Angelo

    2010-06-01

    In this review we concentrate on a grounded approach to the modeling of cognition through the methodologies of cognitive agents and developmental robotics. This work will focus on the modeling of the evolutionary and developmental acquisition of linguistic capabilities based on the principles of symbol grounding. We review cognitive agent and developmental robotics models of the grounding of language to demonstrate their consistency with the empirical and theoretical evidence on language grounding and embodiment, and to reveal the benefits of such an approach in the design of linguistic capabilities in cognitive robotic agents. In particular, three different models will be discussed, where the complexity of the agent's sensorimotor and cognitive system gradually increases: from a multi-agent simulation of language evolution, to a simulated robotic agent model for symbol grounding transfer, to a model of language comprehension in the humanoid robot iCub. The review also discusses the benefits of the use of humanoid robotic platform, and specifically of the open source iCub platform, for the study of embodied cognition. Copyright 2010 Elsevier B.V. All rights reserved.

  1. Biologically inspired control of humanoid robot arms robust and adaptive approaches

    CERN Document Server

    Spiers, Adam; Herrmann, Guido

    2016-01-01

    This book investigates a biologically inspired method of robot arm control, developed with the objective of synthesising human-like motion dynamically, using nonlinear, robust and adaptive control techniques in practical robot systems. The control method caters to a rising interest in humanoid robots and the need for appropriate control schemes to match these systems. Unlike the classic kinematic schemes used in industrial manipulators, the dynamic approaches proposed here promote human-like motion with better exploitation of the robot’s physical structure. This also benefits human-robot interaction. The control schemes proposed in this book are inspired by a wealth of human-motion literature that indicates the drivers of motion to be dynamic, model-based and optimal. Such considerations lend themselves nicely to achievement via nonlinear control techniques without the necessity for extensive and complex biological models. The operational-space method of robot control forms the basis of many of the techniqu...

  2. Vision and "Hand-Eye" Coordination for the Fujitsu HOAP-2 Humanoid Robot

    Science.gov (United States)

    Moore, Jeffrey D.

    2005-01-01

    Software was developed for a Fujitsu HOAP-2 humanoid robot to demonstrate that such "human form" robots can be used to perform useful tasks in an unknown environment; specifically, that they can operate with or in the place of humans to carry out construction operations necessary for space exploration, such as building or maintaining planetary surface habitats for humans. This paper describes the autonomous vision and hand-eye coordination software that enables the HOAP-2 to locate and manipulate objects. Simple vision and pattern detection algorithms including color filtering, noise filtering, image segmentation, orientation filters, and a feedback controlled tracking system enable the robot to locate marked building materials in the workspace. Experimentally determined spatial mappings associate locations in the visual field with the arm joint angles and trajectories necessary to reach these locations, allowing the robot to reach for and manipulate the building materials. These capabilities, when combined with locomotion capabilities, enable the robot to operate autonomously in an unknown workspace.

  3. Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies

    Directory of Open Access Journals (Sweden)

    James A. Reggia

    2018-01-01

    Full Text Available While the concept of a conscious machine is intriguing, producing such a machine remains controversial and challenging. Here, we describe how our work on creating a humanoid cognitive robot that learns to perform tasks via imitation learning relates to this issue. Our discussion is divided into three parts. First, we summarize our previous framework for advancing the understanding of the nature of phenomenal consciousness. This framework is based on identifying computational correlates of consciousness. Second, we describe a cognitive robotic system that we recently developed that learns to perform tasks by imitating human-provided demonstrations. This humanoid robot uses cause–effect reasoning to infer a demonstrator’s intentions in performing a task, rather than just imitating the observed actions verbatim. In particular, its cognitive components center on top-down control of a working memory that retains the explanatory interpretations that the robot constructs during learning. Finally, we describe our ongoing work that is focused on converting our robot’s imitation learning cognitive system into purely neurocomputational form, including both its low-level cognitive neuromotor components, its use of working memory, and its causal reasoning mechanisms. Based on our initial results, we argue that the top-down cognitive control of working memory, and in particular its gating mechanisms, is an important potential computational correlate of consciousness in humanoid robots. We conclude that developing high-level neurocognitive control systems for cognitive robots and using them to search for computational correlates of consciousness provides an important approach to advancing our understanding of consciousness, and that it provides a credible and achievable route to ultimately developing a phenomenally conscious machine.

  4. New Joint Design to Create a More Natural and Efficient Biped

    Directory of Open Access Journals (Sweden)

    Giuseppina Gini

    2009-01-01

    Full Text Available This paper presents a human-oriented approach to design the mechanical architecture and the joint controller for a biped robot. Starting from the analysis of the human lower limbs, we figured out which features of the human legs are fundamental for a correct walking motion, and can be adopted in the mechanical design of a humanoid robot. We focus here on the knee, designed as a compliant human-like knee instead of a classical pin-joint, and on the foot, characterised by the mobility and lightness of the human foot. We implemented an elastic actuator, with a simple position control paradigm that sets the joint stiffness in real time, and developed the basic controller. Results in simulation are discussed. In our approach the robot gains in adaptability and energetic efficiency, which are the most challenging issues for a biped robot.

  5. Partial Human Data in Design of Human-Like Walking Control in Humanoid Robotics

    OpenAIRE

    Galdeano, David; Bonnet, Vincent; Bennehar, Moussab; Fraisse, Philippe; Chemori, Ahmed

    2012-01-01

    International audience; In this paper a human-based control strategy is proposed for walking of humanoid robots. Its basic idea lies in the control of the CoM as well as the relative position of robot's feet. Through the proposed study, it is shown that this reduced set of data allows to fully describe and reproduce a whole body human-like walking. In addition of reducing the number of controlled variables, the proposed control strategy has the advantage of not requiring a complete walking cy...

  6. Backchannel Head Nods in Danish First Meeting Encounters with a Humanoid Robot

    DEFF Research Database (Denmark)

    Krogsager, Anders; Segato, Nicolaj; Rehm, Matthias

    2014-01-01

    Head nods have been shown to play an important role for communication management in human communication, e.g. as a non-verbal feedback signal from the listener. Based on a study with virtual agents, which showed that the use of head nods helps eliciting more verbal input from the user, we...... investigate the use of head nods in communications between a user and a humanoid robot (Nao) that they meet for the first time. Contrary to the virtual agent case, the robot elicited less talking from the user when it was using head nods as a feedback signal. A follow-up experiment revealed that the physical...

  7. Blind speech separation system for humanoid robot with FastICA for audio filtering and separation

    Science.gov (United States)

    Budiharto, Widodo; Santoso Gunawan, Alexander Agung

    2016-07-01

    Nowadays, there are many developments in building intelligent humanoid robot, mainly in order to handle voice and image. In this research, we propose blind speech separation system using FastICA for audio filtering and separation that can be used in education or entertainment. Our main problem is to separate the multi speech sources and also to filter irrelevant noises. After speech separation step, the results will be integrated with our previous speech and face recognition system which is based on Bioloid GP robot and Raspberry Pi 2 as controller. The experimental results show the accuracy of our blind speech separation system is about 88% in command and query recognition cases.

  8. Humanoid Robot Control System Balance Dance Indonesia and Reader Filters Using Complementary Angle Values

    Directory of Open Access Journals (Sweden)

    Sholihin

    2018-01-01

    Full Text Available The development of increasingly advanced technology, make people want to be more developed and curiosity to know more to determine the development of advanced technology. Robot is a tool that can be used as a tool for people who have several advantages. Basically humanoid robot is a robot that resembles a human being with all the driving structure. In the application of this humanoid robot manufacture researchers use MPU6050 module which is an important component of the robot because it can provide a response to the angle reference axis X and Y reference axis, the reading corner still has noise if not filtered out beforehand. On the other hand the use of Complementary filters are the answer to reduce the noise. By arranging the filter coefficients and time sampling filter that affects the signal updates corner. The angle value will be the value of the sensor to the process to the PID system which generates output values that are integrated with the servo pulses. Researchers will test to get a reading of the most stable angle for this experiment is the "a" or the value of the filter coefficient = 0.96 and "dt" or the sampling time = 10 ms.

  9. Humanoid Robot Control System Balance Dance Indonesia and Reader Filters Using Complementary Angle Values

    Science.gov (United States)

    Sholihin; Susanti, Eka

    2018-02-01

    The development of increasingly advanced technology, make people want to be more developed and curiosity to know more to determine the development of advanced technology. Robot is a tool that can be used as a tool for people who have several advantages. Basically humanoid robot is a robot that resembles a human being with all the driving structure. In the application of this humanoid robot manufacture researchers use MPU6050 module which is an important component of the robot because it can provide a response to the angle reference axis X and Y reference axis, the reading corner still has noise if not filtered out beforehand. On the other hand the use of Complementary filters are the answer to reduce the noise. By arranging the filter coefficients and time sampling filter that affects the signal updates corner. The angle value will be the value of the sensor to the process to the PID system which generates output values that are integrated with the servo pulses. Researchers will test to get a reading of the most stable angle for this experiment is the "a" or the value of the filter coefficient = 0.96 and "dt" or the sampling time = 10 ms.

  10. Data-Based Control for Humanoid Robots Using Support Vector Regression, Fuzzy Logic, and Cubature Kalman Filter

    Directory of Open Access Journals (Sweden)

    Liyang Wang

    2016-01-01

    Full Text Available Time-varying external disturbances cause instability of humanoid robots or even tip robots over. In this work, a trapezoidal fuzzy least squares support vector regression- (TF-LSSVR- based control system is proposed to learn the external disturbances and increase the zero-moment-point (ZMP stability margin of humanoid robots. First, the humanoid states and the corresponding control torques of the joints for training the controller are collected by implementing simulation experiments. Secondly, a TF-LSSVR with a time-related trapezoidal fuzzy membership function (TFMF is proposed to train the controller using the simulated data. Thirdly, the parameters of the proposed TF-LSSVR are updated using a cubature Kalman filter (CKF. Simulation results are provided. The proposed method is shown to be effective in learning and adapting occasional external disturbances and ensuring the stability margin of the robot.

  11. Vision-Based Recognition of Activities by a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Mounîm A. El-Yacoubi

    2015-12-01

    Full Text Available We present an autonomous assistive robotic system for human activity recognition from video sequences. Due to the large variability inherent to video capture from a non-fixed robot (as opposed to a fixed camera, as well as the robot's limited computing resources, implementation has been guided by robustness to this variability and by memory and computing speed efficiency. To accommodate motion speed variability across users, we encode motion using dense interest point trajectories. Our recognition model harnesses the dense interest point bag-of-words representation through an intersection kernel-based SVM that better accommodates the large intra-class variability stemming from a robot operating in different locations and conditions. To contextually assess the engine as implemented in the robot, we compare it with the most recent approaches of human action recognition performed on public datasets (non-robot-based, including a novel approach of our own that is based on a two-layer SVM-hidden conditional random field sequential recognition model. The latter's performance is among the best within the recent state of the art. We show that our robot-based recognition engine, while less accurate than the sequential model, nonetheless shows good performances, especially given the adverse test conditions of the robot, relative to those of a fixed camera.

  12. Emotion expression of an affective state space; a humanoid robot displaying a dynamic emotional state during a soccer game

    NARCIS (Netherlands)

    van der Mey, A.; Smit, F; Droog, K.J.; Visser, A.

    2010-01-01

    Following a soccer game is an example where clear emotions are displayed. This example is worked out for a humanoid robot which can express emotions with body language. The emotions expressed by the robot are not just stimuli-response, but are based on an affective state which shows dynamic behavior

  13. "Robovie, You'll Have to Go into the Closet Now": Children's Social and Moral Relationships with a Humanoid Robot

    Science.gov (United States)

    Kahn, Peter H., Jr.; Kanda, Takayuki; Ishiguro, Hiroshi; Freier, Nathan G.; Severson, Rachel L.; Gill, Brian T.; Ruckert, Jolina H.; Shen, Solace

    2012-01-01

    Children will increasingly come of age with personified robots and potentially form social and even moral relationships with them. What will such relationships look like? To address this question, 90 children (9-, 12-, and 15-year-olds) initially interacted with a humanoid robot, Robovie, in 15-min sessions. Each session ended when an experimenter…

  14. Embedded diagnostic, prognostic, and health management system and method for a humanoid robot

    Science.gov (United States)

    Barajas, Leandro G. (Inventor); Sanders, Adam M (Inventor); Reiland, Matthew J (Inventor); Strawser, Philip A (Inventor)

    2013-01-01

    A robotic system includes a humanoid robot with multiple compliant joints, each moveable using one or more of the actuators, and having sensors for measuring control and feedback data. A distributed controller controls the joints and other integrated system components over multiple high-speed communication networks. Diagnostic, prognostic, and health management (DPHM) modules are embedded within the robot at the various control levels. Each DPHM module measures, controls, and records DPHM data for the respective control level/connected device in a location that is accessible over the networks or via an external device. A method of controlling the robot includes embedding a plurality of the DPHM modules within multiple control levels of the distributed controller, using the DPHM modules to measure DPHM data within each of the control levels, and recording the DPHM data in a location that is accessible over at least one of the high-speed communication networks.

  15. Emotion attribution to a non-humanoid robot in different social situations.

    Directory of Open Access Journals (Sweden)

    Gabriella Lakatos

    Full Text Available In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human-animal interaction can provide a useful biological model for designing social robots. Dogs can provide a promising biological model since during the domestication process dogs were able to adapt to the human environment and to participate in complex social interactions. In this observational study we propose to design emotionally expressive behaviour of robots using the behaviour of dogs as inspiration and to test these dog-inspired robots with humans in inter-specific context. In two experiments (wizard-of-oz scenarios we examined humans' ability to recognize two basic and a secondary emotion expressed by a robot. In Experiment 1 we provided our companion robot with two kinds of emotional behaviour ("happiness" and "fear", and studied whether people attribute the appropriate emotion to the robot, and interact with it accordingly. In Experiment 2 we investigated whether participants tend to attribute guilty behaviour to a robot in a relevant context by examining whether relying on the robot's greeting behaviour human participants can detect if the robot transgressed a predetermined rule. Results of Experiment 1 showed that people readily attribute emotions to a social robot and interact with it in accordance with the expressed emotional behaviour. Results of Experiment 2 showed that people are able to recognize if the robot transgressed on the basis of its greeting behaviour. In summary, our findings showed that dog-inspired behaviour is a suitable medium for making people attribute emotional states to a non-humanoid robot.

  16. Emotion Attribution to a Non-Humanoid Robot in Different Social Situations

    Science.gov (United States)

    Lakatos, Gabriella; Gácsi, Márta; Konok, Veronika; Brúder, Ildikó; Bereczky, Boróka; Korondi, Péter; Miklósi, Ádám

    2014-01-01

    In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human–animal interaction can provide a useful biological model for designing social robots. Dogs can provide a promising biological model since during the domestication process dogs were able to adapt to the human environment and to participate in complex social interactions. In this observational study we propose to design emotionally expressive behaviour of robots using the behaviour of dogs as inspiration and to test these dog-inspired robots with humans in inter-specific context. In two experiments (wizard-of-oz scenarios) we examined humans' ability to recognize two basic and a secondary emotion expressed by a robot. In Experiment 1 we provided our companion robot with two kinds of emotional behaviour (“happiness” and “fear”), and studied whether people attribute the appropriate emotion to the robot, and interact with it accordingly. In Experiment 2 we investigated whether participants tend to attribute guilty behaviour to a robot in a relevant context by examining whether relying on the robot's greeting behaviour human participants can detect if the robot transgressed a predetermined rule. Results of Experiment 1 showed that people readily attribute emotions to a social robot and interact with it in accordance with the expressed emotional behaviour. Results of Experiment 2 showed that people are able to recognize if the robot transgressed on the basis of its greeting behaviour. In summary, our findings showed that dog-inspired behaviour is a suitable medium for making people attribute emotional states to a non-humanoid robot. PMID:25551218

  17. Muscle emulation with DC motor and neural networks for biped robots.

    Science.gov (United States)

    Serhan, Hayssam; Nasr, Chaiban G; Henaff, Patrick

    2010-08-01

    This paper shows how to use a DC motor and its PID controller, to behave analogously to a muscle. A model of the muscle that has been learned by a NNARX (Neural Network Auto Regressive eXogenous) structure is used. The PID parameters are tuned by an MLP Network with a special indirect online learning algorithm. The calculation of the learning algorithm is performed based on a mathematical equation of the DC motor or with a Neural Network identification of the motor. For each of the two algorithms, the output of the muscle model is used as a reference for the DC motor control loop. The results show that we succeeded in forcing the physical system to behave in the same way as the muscle model with acceptable margin of error. An implementation in the knees of a simulated biped robot is realized. Simulation compares articular trajectories with and without the muscle emulator and shows that with muscle emulator, articular trajectories become closer to the human being ones and that total power consumption is reduced.

  18. Research on Walking Gait of Biped Robot Based on a Modified CPG Model

    Directory of Open Access Journals (Sweden)

    Qiang Lu

    2015-01-01

    Full Text Available The neurophysiological studies of animals locomotion have verified that the fundamental rhythmic movements of animals are generated by the central pattern generator (CPG. Many CPG models have been proposed by scientific researchers. In this paper, a modified CPG model whose output function is sin(x is presented. The paper proves that the modified model has stable periodic solution and characteristics of the rhythmic movement using the Lyapunov judgement theorem and the phase diagram. A modified locomotion model is established in which the credit-assignment cerebellar model articulation controller (CA-CMAC algorithm is used to realize the pattern mapping between the CPG output and the musculoskeletal system. And a seven-link biped robot is employed to simulate cyclic walking gait in order to test the validity of the locomotion model. The main findings include the following. (1 The modified CPG model can generate spontaneous oscillations which correspond to biological signals. (2 The analysis of the modified locomotion model reveals that the CA-CMAC algorithm can be used to realize the pattern mapping between the CPG output and the musculoskeletal system.

  19. Integrating Multi-Purpose Natural Language Understanding, Robot's Memory, and Symbolic Planning for Task Execution in Humanoid Robots

    DEFF Research Database (Denmark)

    Wächter, Mirko; Ovchinnikova, Ekaterina; Wittenbeck, Valerij

    2017-01-01

    . The framework is implemented within the robot development environment ArmarX. We evaluate the framework on the humanoid robot ARMAR-III in the context of two experiments: a demonstration of the real execution of a complex task in the kitchen environment on ARMAR-III and an experiment with untrained users...... complex plans according to the current world state, and monitor plan execution. The presented development supports replacing missing objects and suggesting possible object locations. It is a realization of the concept of structural bootstrapping developed in the context of the European project Xperience...

  20. Human-Robot Interaction: Intention Recognition and Mutual Entrainment

    Science.gov (United States)

    2012-08-18

    Setiawan, J. Yamaguchi, S. Hyon, and A. Takanishi, “Physical in- teraction between human and a bipedal humanoid robot -realization of human-follow walking...dynamic biped locomotion on rugged terrain—theory and basic experiment,” Advanced Robotics , 1991. ’ Robots in Unstructured Environments’, 91 ICAR., Fifth...dynamics and control in turning maneu- vers. At the same time, some simplified models have been introduced to generate turning motions on bipedal robots

  1. Audio-Visual Perception System for a Humanoid Robotic Head

    Science.gov (United States)

    Viciana-Abad, Raquel; Marfil, Rebeca; Perez-Lorenzo, Jose M.; Bandera, Juan P.; Romero-Garces, Adrian; Reche-Lopez, Pedro

    2014-01-01

    One of the main issues within the field of social robotics is to endow robots with the ability to direct attention to people with whom they are interacting. Different approaches follow bio-inspired mechanisms, merging audio and visual cues to localize a person using multiple sensors. However, most of these fusion mechanisms have been used in fixed systems, such as those used in video-conference rooms, and thus, they may incur difficulties when constrained to the sensors with which a robot can be equipped. Besides, within the scope of interactive autonomous robots, there is a lack in terms of evaluating the benefits of audio-visual attention mechanisms, compared to only audio or visual approaches, in real scenarios. Most of the tests conducted have been within controlled environments, at short distances and/or with off-line performance measurements. With the goal of demonstrating the benefit of fusing sensory information with a Bayes inference for interactive robotics, this paper presents a system for localizing a person by processing visual and audio data. Moreover, the performance of this system is evaluated and compared via considering the technical limitations of unimodal systems. The experiments show the promise of the proposed approach for the proactive detection and tracking of speakers in a human-robot interactive framework. PMID:24878593

  2. Pareto design of state feedback tracking control of a biped robot via multiobjective PSO in comparison with sigma method and genetic algorithms: modified NSGAII and MATLAB's toolbox.

    Science.gov (United States)

    Mahmoodabadi, M J; Taherkhorsandi, M; Bagheri, A

    2014-01-01

    An optimal robust state feedback tracking controller is introduced to control a biped robot. In the literature, the parameters of the controller are usually determined by a tedious trial and error process. To eliminate this process and design the parameters of the proposed controller, the multiobjective evolutionary algorithms, that is, the proposed method, modified NSGAII, Sigma method, and MATLAB's Toolbox MOGA, are employed in this study. Among the used evolutionary optimization algorithms to design the controller for biped robots, the proposed method operates better in the aspect of designing the controller since it provides ample opportunities for designers to choose the most appropriate point based upon the design criteria. Three points are chosen from the nondominated solutions of the obtained Pareto front based on two conflicting objective functions, that is, the normalized summation of angle errors and normalized summation of control effort. Obtained results elucidate the efficiency of the proposed controller in order to control a biped robot.

  3. Adaptive, fast walking in a biped robot under neuronal control and learning.

    Science.gov (United States)

    Manoonpong, Poramate; Geng, Tao; Kulvicius, Tomas; Porr, Bernd; Wörgötter, Florentin

    2007-07-01

    Human walking is a dynamic, partly self-stabilizing process relying on the interaction of the biomechanical design with its neuronal control. The coordination of this process is a very difficult problem, and it has been suggested that it involves a hierarchy of levels, where the lower ones, e.g., interactions between muscles and the spinal cord, are largely autonomous, and where higher level control (e.g., cortical) arises only pointwise, as needed. This requires an architecture of several nested, sensori-motor loops where the walking process provides feedback signals to the walker's sensory systems, which can be used to coordinate its movements. To complicate the situation, at a maximal walking speed of more than four leg-lengths per second, the cycle period available to coordinate all these loops is rather short. In this study we present a planar biped robot, which uses the design principle of nested loops to combine the self-stabilizing properties of its biomechanical design with several levels of neuronal control. Specifically, we show how to adapt control by including online learning mechanisms based on simulated synaptic plasticity. This robot can walk with a high speed (>3.0 leg length/s), self-adapting to minor disturbances, and reacting in a robust way to abruptly induced gait changes. At the same time, it can learn walking on different terrains, requiring only few learning experiences. This study shows that the tight coupling of physical with neuronal control, guided by sensory feedback from the walking pattern itself, combined with synaptic learning may be a way forward to better understand and solve coordination problems in other complex motor tasks.

  4. Adaptive, fast walking in a biped robot under neuronal control and learning.

    Directory of Open Access Journals (Sweden)

    Poramate Manoonpong

    2007-07-01

    Full Text Available Human walking is a dynamic, partly self-stabilizing process relying on the interaction of the biomechanical design with its neuronal control. The coordination of this process is a very difficult problem, and it has been suggested that it involves a hierarchy of levels, where the lower ones, e.g., interactions between muscles and the spinal cord, are largely autonomous, and where higher level control (e.g., cortical arises only pointwise, as needed. This requires an architecture of several nested, sensori-motor loops where the walking process provides feedback signals to the walker's sensory systems, which can be used to coordinate its movements. To complicate the situation, at a maximal walking speed of more than four leg-lengths per second, the cycle period available to coordinate all these loops is rather short. In this study we present a planar biped robot, which uses the design principle of nested loops to combine the self-stabilizing properties of its biomechanical design with several levels of neuronal control. Specifically, we show how to adapt control by including online learning mechanisms based on simulated synaptic plasticity. This robot can walk with a high speed (>3.0 leg length/s, self-adapting to minor disturbances, and reacting in a robust way to abruptly induced gait changes. At the same time, it can learn walking on different terrains, requiring only few learning experiences. This study shows that the tight coupling of physical with neuronal control, guided by sensory feedback from the walking pattern itself, combined with synaptic learning may be a way forward to better understand and solve coordination problems in other complex motor tasks.

  5. Interdisciplinary Construction and Implementation of a Human Sized Humanoid Robot by Master Students

    Science.gov (United States)

    Helbo, Jan; Svendsen, Mads Sølver

    With limited funding it seemed a very good idea to encourage Master Students to design and construct their own human sized biped robot. Because this task is huge and very interdisciplinary different areas of expertise were covered by students from different departments who in turn took over results from former students. In the last three years three student groups from Department of Mechanical Engineering and Electronic Systems have been working on the project. The robot AAU-BOT1 has been designed, manufactured, assembled, instrumented and walking should be possible in the near future. The Project Organized Problem Based Learning method implemented at Aalborg University is one of the reasons why supervisors give Master Students such a challenge.

  6. Behavior recognition for humanoid robots using long short-term memory

    Directory of Open Access Journals (Sweden)

    Dickson Neoh Tze How

    2016-10-01

    Full Text Available Learning from demonstration plays an important role in enabling robot to acquire new behaviors from human teachers. Within learning from demonstration, robots learn new tasks by recognizing a set of preprogrammed behaviors or skills as building blocks for new, potentially more complex tasks. One important aspect in this approach is the recognition of the set of behaviors that comprises the entire task. The ability to recognize a complex task as a sequence of simple behaviors enables the robot to generalize better on more complex tasks. In this article, we propose that primitive behaviors can be taught to a robot via learning from demonstration. In our experiment, we teach the robot new behaviors by demonstrating the behaviors to the robot several times. Following that, a long short-term memory recurrent neural network is trained to recognize the behaviors. In this study, we managed to teach at least six behaviors on a NAO humanoid robot and trained a long short-term memory recurrent neural network to recognize the behaviors using the supervised learning scheme. Our result shows that long short-term memory can recognize all the taught behaviors effectively, and it is able to generalize to recognize similar types of behaviors that have not been demonstrated on the robot before. We also show that the long short-term memory is advantageous compared to other neural network frameworks in recognizing the behaviors in the presence of noise in the behaviors.

  7. Learning to recognize horn and whistle sounds for humanoid robots

    NARCIS (Netherlands)

    Backer, N.; Visser, A.

    2014-01-01

    The efficiency and accuracy of several state-of-the-art algorithms for real-time sound classification on a NAO robot are evaluated, to determine how accurate they are at distinguishing horn and whistle sounds in both optimal conditions, and a noisy environment. Each approach uses a distinct

  8. Impedance Control and its Effects on a Humanoid Robot Playing Table Tennis

    Directory of Open Access Journals (Sweden)

    Rong Xiong

    2012-11-01

    Full Text Available This paper proposes an impedance control scheme used on humanoid robots for stability maintenance when the robot is expected to carry out fast manipulatory tasks. We take table tennis playing as an example to study this issue. The fast acceleration required by table tennis rallying will result in an unknown large reaction force on the robot, causing the body to swing back and forth in an oscillating motion and the foot to lose complete contact with the ground. To improve the stability during fast manipulation and in order to resist disturbances due to the reaction force, we introduce impedance control to absorb the impact and decrease the amplitude of body swinging. The system's adjusting time is also reduced and the oscillations are eliminated according to the experimental results, which show the effectiveness of our scheme.

  9. Combining gait optimization with passive system to increase the energy efficiency of a humanoid robot walking movement

    Energy Technology Data Exchange (ETDEWEB)

    Pereira, Ana I. [Polytechnic Institute of Bragança (Portugal); ALGORITMI,University of Minho (Portugal); Lima, José [Polytechnic Institute of Bragança (Portugal); INESC TEC (formerly INESC Porto) Porto (Portugal); Costa, Paulo [Faculty of Engineering, University of Porto (Portugal); INESC TEC (formerly INESC Porto) Porto (Portugal)

    2015-03-10

    There are several approaches to create the Humanoid robot gait planning. This problem presents a large number of unknown parameters that should be found to make the humanoid robot to walk. Optimization in simulation models can be used to find the gait based on several criteria such as energy minimization, acceleration, step length among the others. The energy consumption can also be reduced with elastic elements coupled to each joint. The presented paper addresses an optimization method, the Stretched Simulated Annealing, that runs in an accurate and stable simulation model to find the optimal gait combined with elastic elements. Final results demonstrate that optimization is a valid gait planning technique.

  10. Combining gait optimization with passive system to increase the energy efficiency of a humanoid robot walking movement

    International Nuclear Information System (INIS)

    Pereira, Ana I.; Lima, José; Costa, Paulo

    2015-01-01

    There are several approaches to create the Humanoid robot gait planning. This problem presents a large number of unknown parameters that should be found to make the humanoid robot to walk. Optimization in simulation models can be used to find the gait based on several criteria such as energy minimization, acceleration, step length among the others. The energy consumption can also be reduced with elastic elements coupled to each joint. The presented paper addresses an optimization method, the Stretched Simulated Annealing, that runs in an accurate and stable simulation model to find the optimal gait combined with elastic elements. Final results demonstrate that optimization is a valid gait planning technique

  11. Whole-Body Motion Planning for Humanoid Robots by Specifying Via-Points

    Directory of Open Access Journals (Sweden)

    ChangHyun Sung

    2013-07-01

    Full Text Available We design a framework about the planning of whole body motion for humanoid robots. Motion planning with various constraints is essential to success the task. In this research, we propose a motion planning method corresponding to various conditions for achieving the task. We specify some via-points to deal with the conditions for target achievement depending on various constraints. Together with certain constraints including task accomplishment, the via-point representation plays a crucial role in the optimization process of our method. Furthermore, the via-points as the optimization parameters are related to some physical conditions. We applied this method to generate the kicking motion of a humanoid robot HOAP-3. We have confirmed that the robot was able to complete the task of kicking a ball over an obstacle into a goal in addition to changing conditions of the location of a ball. These results show that the proposed motion planning method using via-point representation can increase articulation of the motion.

  12. An SSVEP based BCI to control a humanoid robot by using portable EEG device.

    Science.gov (United States)

    Güneysu, Arzu; Akin, H Levent

    2013-01-01

    Brain Computer Interfaces (BCIs) are systems that allow human subjects to interact with the environment by interpreting brain signals into machine commands. This work provides a design for a BCI to control a humanoid robot by using signals obtained from the Emotiv EPOC, a portable electroencephalogram (EEG) device with 14 electrodes and sampling rate of 128 Hz. The main objective is to process the neuroelectric responses to an externally driven stimulus and generate control signals for the humanoid robot Nao accordingly. We analyze steady-state visually evoked potential (SSVEP) induced by one of four groups of light emitting diodes (LED) by using two distinct signals obtained from the two channels of the EEG device which reside on top of the occipital lobe. An embedded system is designed for generating pulse width modulated square wave signals in order to flicker each group of LEDs with different frequencies. The subject chooses the direction by looking at one of these groups of LEDs that represent four directions. Fast Fourier Transform and a Gaussian model are used to detect the dominant frequency component by utilizing harmonics and neighbor frequencies. Then, a control signal is sent to the robot in order to draw a fixed sized line in that selected direction by BCI. Experimental results display satisfactory performance where the correct target is detected 75% of the time on the average across all test subjects without any training.

  13. Making planned paths look more human-like in humanoid robot manipulation planning

    DEFF Research Database (Denmark)

    Zacharias, F.; Schlette, C.; Schmidt, F.

    2011-01-01

    It contradicts the human's expectations when humanoid robots move awkwardly during manipulation tasks. The unnatural motion may be caused by awkward start or goal configurations or by probabilistic path planning processes that are often used. This paper shows that the choice of an arm's target...... configuration strongly effects planning time and how human-like a planned path appears. Human-like goal configurations are found using a criterion from ergonomics research. The knowledge which pose of the Tool Center Point (TCP) can be reached in a natural manner is encapsulated in a restricted reachability map...

  14. Numerical Nonlinear Robust Control with Applications to Humanoid Robots

    Science.gov (United States)

    2015-07-01

    remains the biggest bottleneck to the practical ap- plication of nonlinear H∞ control. For general nonlinear systems, no smooth analytical solution can...consists of q and q̇, contains 30 states. The actual equations of motion are generated using the Dynamic Animation and Robotics Toolkit (DART), which...behaviors often exhibit systematic deviations, such as risk/loss aversio, inaccurately weighting low/high probability events , and displaying greater

  15. Correction of Visual Perception Based on Neuro-Fuzzy Learning for the Humanoid Robot TEO.

    Science.gov (United States)

    Hernandez-Vicen, Juan; Martinez, Santiago; Garcia-Haro, Juan Miguel; Balaguer, Carlos

    2018-03-25

    New applications related to robotic manipulation or transportation tasks, with or without physical grasping, are continuously being developed. To perform these activities, the robot takes advantage of different kinds of perceptions. One of the key perceptions in robotics is vision. However, some problems related to image processing makes the application of visual information within robot control algorithms difficult. Camera-based systems have inherent errors that affect the quality and reliability of the information obtained. The need of correcting image distortion slows down image parameter computing, which decreases performance of control algorithms. In this paper, a new approach to correcting several sources of visual distortions on images in only one computing step is proposed. The goal of this system/algorithm is the computation of the tilt angle of an object transported by a robot, minimizing image inherent errors and increasing computing speed. After capturing the image, the computer system extracts the angle using a Fuzzy filter that corrects at the same time all possible distortions, obtaining the real angle in only one processing step. This filter has been developed by the means of Neuro-Fuzzy learning techniques, using datasets with information obtained from real experiments. In this way, the computing time has been decreased and the performance of the application has been improved. The resulting algorithm has been tried out experimentally in robot transportation tasks in the humanoid robot TEO (Task Environment Operator) from the University Carlos III of Madrid.

  16. Referral of sensation to an advanced humanoid robotic hand prosthesis.

    Science.gov (United States)

    Rosén, Birgitta; Ehrsson, H Henrik; Antfolk, Christian; Cipriani, Christian; Sebelius, Fredrik; Lundborg, Göran

    2009-01-01

    Hand prostheses that are currently available on the market are used by amputees to only a limited extent, partly because of lack of sensory feedback from the artificial hand. We report a pilot study that showed how amputees can experience a robot-like advanced hand prosthesis as part of their own body. We induced a perceptual illusion by which touch applied to the stump of the arm was experienced from the artificial hand. This illusion was elicited by applying synchronous tactile stimulation to the hidden amputation stump and the robotic hand prosthesis in full view. In five people who had had upper limb amputations this stimulation caused referral touch sensation from the stump to the artificial hand, and the prosthesis was experienced more like a real hand. We also showed that this illusion can work when the amputee controls the movements of the artificial hand by recordings of the arm muscle activity with electromyograms. These observations indicate that the previously described "rubber hand illusion" is also valid for an advanced hand prosthesis, even when it has a robotic-like appearance.

  17. Dynamic gait control of biped robot based on kinematics and motion description in Cartesian space; Zettai zahyokei no dosa kijutsu to kinematics ni motozuita nisoku robot no dohoko seigyo no jitsugen

    Energy Technology Data Exchange (ETDEWEB)

    Majima, K.; Miyazaki, T.; Oishi, K. [Nagaoka Univ. of Technology., Niigata (Japan)

    1997-10-20

    This paper proposes a new dynamic gait control method of biped robot based on robust joint servo control. The method consists of two subjects. The first subject is the approximation of biped robot to the inverted pendulum for sagittal plane and lateral plane. The second subject is the constitution of dynamic gait control based on robust joint servo control and kinematics. The motion description in Cartesian space is determined from the motion of the inverted pendulum for sagittal plane and lateral plane. Suitability of the biped motion reference is confirmed by distribution of ZMP (Zero Moment Point). Using the inverse kinematics of biped robot, the biped motion references in Cartesian space is transformed to the position references in joint space. In joint space, the robust position control system consists of two-degrees-of-freedom control system based on coprime factorization and disturbance observer. Since the robust joint servo control system compensates the inertia variation and disturbance torque on dynamic gait control, this control system is suitable for the dynamic gait control of biped robot. The validity of the proposed method is confirmed by the experimental results. 15 refs., 11 figs., 2 tabs.

  18. Feasibility Study of a Socially Assistive Humanoid Robot for Guiding Elderly Individuals during Walking

    Directory of Open Access Journals (Sweden)

    Chiara Piezzo

    2017-07-01

    Full Text Available The impact of the world-wide ageing population has commenced with respect to society in developed countries. Several researchers focused on exploring new methods to improve the quality of life of elderly individuals by allowing them to remain independent and healthy to the maximum possible extent. For example, new walking aids are designed to allow elderly individuals to remain mobile in a safe manner because the importance of walking is well-known. The aim of the present study involves designing a humanoid robot guide as a walking trainer for elderly individuals. It is hypothesized that the same service robot provides an assistive and social contribution with respect to interaction between elderly users by motivating them to walk more and simultaneously provides assistance, such as physical assistance and gait monitoring, while walking. This study includes a detailed statement of the research problem as well as a literature review of existing studies related to walking companion robots. A user-centred design approach is adopted to report the results of the current first feasibility study by using a commercially available humanoid robot known as Pepper developed by Softbank-Aldebaran. A quantitative questionnaire was used to investigate all elements that assess intrinsic motivation in users while performing a given activity. Conversely, basic gait data were acquired through a video analysis to test the capability of the robot to modify the gait of human users. The results in terms of the feedback received from elderly subjects and the literature review improve the design of the walking trainer for elderly individuals.

  19. Tuning a PD Controller Based on an SVR for the Control of a Biped Robot Subject to External Forces and Slope Variation

    Directory of Open Access Journals (Sweden)

    João P. Ferreira

    2014-03-01

    Full Text Available Real-time balance control of an eight-link biped robot using a zero moment point (ZMP dynamic model is difficult to achieve due to the processing time of the corresponding equations. To overcome this limitation an intelligent computing technique based on Support Vector Regression (SVR is developed and presented in this paper. To implement a PD controller the SVR uses the ZMP error relative to a reference and its variation as inputs, and the output is the correction of the angle of the robot's torso, necessary for its sagittal balance. The SVR was trained based on simulation data generated using a PD controller. The initial values of the parameters of the PD controller were obtained by the second Ziegler-Nichols method. In order to evaluate the balance performance of the biped robot, three performance indexes are used. The ZMP is calculated by reading four force sensors placed under each of the robot's feet. The gait implemented in this biped is similar to a human gait, which is acquired and adapted to the robot's size. The main contribution of this paper is the fine-tuning of the ZMP controller based on the SVR. To implement and test this, the biped robot was subjected to external forces and slope variation. Some experiments are presented and the results show that the implemented gait combined with the correct tuning of the SVR controller is appropriate for use with this biped robot. The SVR controller runs at 0.2 ms, which is about 50 times faster than a corresponding first-order TSK neural-fuzzy network.

  20. Humanoid robots versus humans: How is emotional valence of facial expressions recognized by individuals with schizophrenia? An exploratory study.

    Science.gov (United States)

    Raffard, Stéphane; Bortolon, Catherine; Khoramshahi, Mahdi; Salesse, Robin N; Burca, Marianna; Marin, Ludovic; Bardy, Benoit G; Billard, Aude; Macioce, Valérie; Capdevielle, Delphine

    2016-10-01

    The use of humanoid robots to play a therapeutic role in helping individuals with social disorders such as autism is a newly emerging field, but remains unexplored in schizophrenia. As the ability for robots to convey emotion appear of fundamental importance for human-robot interactions, we aimed to evaluate how schizophrenia patients recognize positive and negative facial emotions displayed by a humanoid robot. We included 21 schizophrenia outpatients and 17 healthy participants. In a reaction time task, they were shown photographs of human faces and of a humanoid robot (iCub) expressing either positive or negative emotions, as well as a non-social stimulus. Patients' symptomatology, mind perception, reaction time and number of correct answers were evaluated. Results indicated that patients and controls recognized better and faster the emotional valence of facial expressions expressed by humans than by the robot. Participants were faster when responding to positive compared to negative human faces and inversely were faster for negative compared to positive robot faces. Importantly, participants performed worse when they perceived iCub as being capable of experiencing things (experience subscale of the mind perception questionnaire). In schizophrenia patients, negative correlations emerged between negative symptoms and both robot's and human's negative face accuracy. Individuals do not respond similarly to human facial emotion and to non-anthropomorphic emotional signals. Humanoid robots have the potential to convey emotions to patients with schizophrenia, but their appearance seems of major importance for human-robot interactions. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  1. Developmental Word Acquisition through Self-Organized Incremental Neural Network with A Humanoid Robot

    Science.gov (United States)

    Okada, Shogo; He, Xiaoyuan; Kojima, Ryo; Hasegawa, Osamu

    This paper presents an unsupervised approach of integrating speech and visual information without using any prepared data(training data). The approach enables a humanoid robot, Incremental Knowledge Robot 1 (IKR1), to learn words' meanings. The approach is different from most existing approaches in that the robot learns online from audio-visual input, rather than from stationary data provided in advance. In addition, the robot is capable of incremental learning, which is considered to be indispensable to lifelong learning. A noise-robust self-organized incremental neural network(SOINN) is developed to represent the topological structure of unsupervised online data. We are also developing an active learning mechanism, called ``desire for knowledge'', to let the robot select the object for which it possesses the least information for subsequent learning. Experimental results show that the approach raises the efficiency of the learning process. Based on audio and visual data, we construct a mental model for the robot, which forms a basis for constructing IKR1's inner world and builds a bridge connecting the learned concepts with current and past scenes.

  2. Self-protective whole body motion for humanoid robots based on synergy of global reaction and local reflex.

    Science.gov (United States)

    Shimizu, Toshihiko; Saegusa, Ryo; Ikemoto, Shuhei; Ishiguro, Hiroshi; Metta, Giorgio

    2012-08-01

    This paper describes a self-protective whole body motor controller to enable life-long learning of humanoid robots. In order to reduce the damages on robots caused by physical interaction such as obstacle collision, we introduce self-protective behaviors based on the adaptive coordination of full-body global reactions and local limb reflexes. Global reactions aim at adaptive whole-body movements to prepare for harmful situations. The system incrementally learns a more effective association of the states and global reactions. Local reflexes based on a force-torque sensing function to reduce the impact load on the limbs independently of high-level motor intention. We examined the proposed method with a robot simulator in various conditions. We then applied the systems on a real humanoid robot. Copyright © 2012 Elsevier Ltd. All rights reserved.

  3. Hybrid motion control of humanoid robot for leader-follower cooperative tasks

    Directory of Open Access Journals (Sweden)

    Savić Srđan Ž.

    2016-01-01

    Full Text Available This paper presents a framework for leader-follower type cooperative transportation of an object by multiple humanoid robots or a single robot and a human. The emphasis in this paper is on the hybrid control algorithm and motion generation of the follower robot, while the influence of the leader has been simulated as external force acting on the follower’s hands. The presented approach uses impedance controller to provide compliant behavior of robot arms and it is an extension of our previous work on dual-mode impedance controller for safe human-robot interaction. Synthesis of the follower’s legs and trunk motion is based on the reconfigurable adaptive motion primitives, which are defined as simple, parameterized motion building blocks that can be combined in a sequence or in parallel to generate complex motion. It has been already proven that motion generation, based on reconfigurable adaptive primitives enables the robot to modify gait parameters online, at any time instant, and to synthesize dynamically balanced walk. Motion of the follower is based on the reactive approach, where the gait parameters (walking velocity, direction and step length depend on the intensity and the direction of the external force vector. Robot end-effectors are compliant in the horizontal plain, adapting to the physical guidance of the leader, while being stiff in the vertical direction in order to compensate the external force in negative Z direction. The proposed framework has been tested by numerical simulations involving a dynamic robot model. [Projekat Ministarstva nauke Republike Srbije, br. III44008 and by Provincial secretariat for science and technological development under contract 114-451-2116/2011

  4. A Robust Vision Module for Humanoid Robotic Ping-Pong Game

    Directory of Open Access Journals (Sweden)

    Xiaopeng Chen

    2015-04-01

    Full Text Available Developing a vision module for a humanoid ping-pong game is challenging due to the spin and the non-linear rebound of the ping-pong ball. In this paper, we present a robust predictive vision module to overcome these problems. The hardware of the vision module is composed of two stereo camera pairs with each pair detecting the 3D positions of the ball on one half of the ping-pong table. The software of the vision module divides the trajectory of the ball into four parts and uses the perceived trajectory in the first part to predict the other parts. In particular, the software of the vision module uses an aerodynamic model to predict the trajectories of the ball in the air and uses a novel non-linear rebound model to predict the change of the ball's motion during rebound. The average prediction error of our vision module at the ball returning point is less than 50 mm - a value small enough for standard sized ping-pong rackets. Its average processing speed is 120fps. The precision and efficiency of our vision module enables two humanoid robots to play ping-pong continuously for more than 200 rounds.

  5. The Study of Fractional Order Controller with SLAM in the Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Shuhuan Wen

    2014-01-01

    Full Text Available We present a fractional order PI controller (FOPI with SLAM method, and the proposed method is used in the simulation of navigation of NAO humanoid robot from Aldebaran. We can discretize the transfer function by the Al-Alaoui generating function and then get the FOPI controller by Power Series Expansion (PSE. FOPI can be used as a correction part to reduce the accumulated error of SLAM. In the FOPI controller, the parameters (Kp,Ki,  and  α need to be tuned to obtain the best performance. Finally, we compare the results of position without controller and with PI controller, FOPI controller. The simulations show that the FOPI controller can reduce the error between the real position and estimated position. The proposed method is efficient and reliable for NAO navigation.

  6. Slow walking model for children with multiple disabilities via an application of humanoid robot

    Science.gov (United States)

    Wang, ZeFeng; Peyrodie, Laurent; Cao, Hua; Agnani, Olivier; Watelain, Eric; Wang, HaoPing

    2016-02-01

    Walk training research with children having multiple disabilities is presented. Orthosis aid in walking for children with multiple disabilities such as Cerebral Palsy continues to be a clinical and technological challenge. In order to reduce pain and improve treatment strategies, an intermediate structure - humanoid robot NAO - is proposed as an assay platform to study walking training models, to be transferred to future special exoskeletons for children. A suitable and stable walking model is proposed for walk training. It would be simulated and tested on NAO. This comparative study of zero moment point (ZMP) supports polygons and energy consumption validates the model as more stable than the conventional NAO. Accordingly direction variation of the center of mass and the slopes of linear regression knee/ankle angles, the Slow Walk model faithfully emulates the gait pattern of children.

  7. Online Joint Trajectory Generation of Human-like Biped Walking

    Directory of Open Access Journals (Sweden)

    Jong-Wook Kim

    2014-02-01

    Full Text Available Biped walking has long been studied in the area of gait analysis and robotic locomotion. The goal of this paper is to establish a systematic methodology for human-like natural walking by fusing the measured human joint data and optimal pattern generation techniques based on a full-body humanoid model. To this end, this paper proposes an adaptive two-stage gait pattern by which the step length and walking velocity can be changed with two scaling factors. In addition, to cope with the situations involving passing over a small obstacle, the joint trajectories of the swing foot can be adjusted with a novel concept of differential angle trajectory using a reliable optimization method, viz. particle swarm optimization. The feasibility of the proposed walking scheme is validated by walking experiments with the robot platform DARwIn-OP.

  8. Binaural Active Audition for Humanoid Robots to Localise Speech over Entire Azimuth Range

    Directory of Open Access Journals (Sweden)

    Hyun-Don Kim

    2009-01-01

    Full Text Available We applied motion theory to robot audition to improve the inadequate performance. Motions are critical for overcoming the ambiguity and sparseness of information obtained by two microphones. To realise this, we first designed a sound source localisation system integrated with cross-power spectrum phase (CSP analysis and an EM algorithm. The CSP of sound signals obtained with only two microphones was used to localise the sound source without having to measure impulse response data. The expectation-maximisation (EM algorithm helped the system to cope with several moving sound sources and reduce localisation errors. We then proposed a way of constructing a database for moving sounds to evaluate binaural sound source localisation. We evaluated our sound localisation method using artificial moving sounds and confirmed that it could effectively localise moving sounds slower than 1.125 rad/s. Consequently, we solved the problem of distinguishing whether sounds were coming from the front or rear by rotating and/or tipping the robot's head that was equipped with only two microphones. Our system was applied to a humanoid robot called SIG2, and we confirmed its ability to localise sounds over the entire azimuth range as the success rates for sound localisation in the front and rear areas were 97.6% and 75.6% respectively.

  9. Biped Robot Gait Planning Based on 3D Linear Inverted Pendulum Model

    Science.gov (United States)

    Yu, Guochen; Zhang, Jiapeng; Bo, Wu

    2018-01-01

    In order to optimize the biped robot’s gait, the biped robot’s walking motion is simplify to the 3D linear inverted pendulum motion mode. The Center of Mass (CoM) locus is determined from the relationship between CoM and the Zero Moment Point (ZMP) locus. The ZMP locus is planned in advance. Then, the forward gait and lateral gait are simplified as connecting rod structure. Swing leg trajectory using B-spline interpolation. And the stability of the walking process is discussed in conjunction with the ZMP equation. Finally the system simulation is carried out under the given conditions to verify the validity of the proposed planning method.

  10. Artificial Leg Design and Control Research of a Biped Robot with Heterogeneous Legs Based on PID Control Algorithm

    Directory of Open Access Journals (Sweden)

    Hualong Xie

    2015-04-01

    Full Text Available A biped robot with heterogeneous legs (BRHL is proposed to provide an ideal test-bed for intelligent bionic legs (IBL. To make artificial leg gait better suited to a human, a four-bar mechanism is used as its knee joint, and a pneumatic artificial muscle (PAM is used as its driving source. The static mathematical model of PAM is established and the mechanical model of a single degree of freedom of a knee joint driven by PAM is analyzed. A control simulation of an artificial leg based on PID control algorithm is carried out and the simulation results indicate that the artificial leg can simulate precisely a normal human walking gait.

  11. Grounding Action Words in the Sensorimotor Interaction with the World: Experiments with a Simulated iCub Humanoid Robot

    OpenAIRE

    Marocco, Davide; Cangelosi, Angelo; Fischer, Kerstin; Belpaeme, Tony

    2010-01-01

    This paper presents a cognitive robotics model for the study of the embodied representation of action words. The present research will present how an iCub humanoid robot can learn the meaning of action words (i.e. words that represent dynamical events that happen in time) by physically interacting with the environment and linking the effects of its own actions with the behavior observed on the objects before and after the action. The control system of the robot is an artificial neural network...

  12. The second me: Seeing the real body during humanoid robot embodiment produces an illusion of bi-location.

    Science.gov (United States)

    Aymerich-Franch, Laura; Petit, Damien; Ganesh, Gowrishankar; Kheddar, Abderrahmane

    2016-11-01

    Whole-body embodiment studies have shown that synchronized multi-sensory cues can trick a healthy human mind to perceive self-location outside the bodily borders, producing an illusion that resembles an out-of-body experience (OBE). But can a healthy mind also perceive the sense of self in more than one body at the same time? To answer this question, we created a novel artificial reduplication of one's body using a humanoid robot embodiment system. We first enabled individuals to embody the humanoid robot by providing them with audio-visual feedback and control of the robot head movements and walk, and then explored the self-location and self-identification perceived by them when they observed themselves through the embodied robot. Our results reveal that, when individuals are exposed to the humanoid body reduplication, they experience an illusion that strongly resembles heautoscopy, suggesting that a healthy human mind is able to bi-locate in two different bodies simultaneously. Copyright © 2016 Elsevier Inc. All rights reserved.

  13. Humanoid assessing rehabilitative exercises.

    Science.gov (United States)

    Simonov, M; Delconte, G

    2015-01-01

    This article is part of the Focus Theme of Methods of Information in Medicine on "New Methodologies for Patients Rehabilitation". The article presents the approach in which the rehabilitative exercise prepared by healthcare professional is encoded as formal knowledge and used by humanoid robot to assist patients without involving other care actors. The main objective is the use of humanoids in rehabilitative care. An example is pulmonary rehabilitation in COPD patients. Another goal is the automated judgment functionality to determine how the rehabilitation exercise matches the pre-programmed correct sequence. We use the Aldebaran Robotics' NAO humanoid to set up artificial cognitive application. Pre-programmed NAO induces elderly patient to undertake humanoid-driven rehabilitation exercise, but needs to evaluate the human actions against the correct template. Patient is observed using NAO's eyes. We use the Microsoft Kinect SDK to extract motion path from the humanoid's recorded video. We compare human- and humanoid-operated process sequences by using the Dynamic Time Warping (DTW) and test the prototype. This artificial cognitive software showcases the use of DTW algorithm to enable humanoids to judge in near real-time about the correctness of rehabilitative exercises performed by patients following the robot's indications. One could enable better sustainable rehabilitative care services in remote residential settings by combining intelligent applications piloting humanoids with the DTW pattern matching algorithm applied at run time to compare humanoid- and human-operated process sequences. In turn, it will lower the need of human care.

  14. Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Jantsje H. Pasma

    2018-03-01

    Full Text Available The Independent Channel (IC model is a commonly used linear balance control model in the frequency domain to analyze human balance control using system identification and parameter estimation. The IC model is a rudimentary and noise-free description of balance behavior in the frequency domain, where a stable model representation is not guaranteed. In this study, we conducted firstly time-domain simulations with added noise, and secondly robot experiments by implementing the IC model in a real-world robot (PostuRob II to test the validity and stability of the model in the time domain and for real world situations. Balance behavior of seven healthy participants was measured during upright stance by applying pseudorandom continuous support surface rotations. System identification and parameter estimation were used to describe the balance behavior with the IC model in the frequency domain. The IC model with the estimated parameters from human experiments was implemented in Simulink for computer simulations including noise in the time domain and robot experiments using the humanoid robot PostuRob II. Again, system identification and parameter estimation were used to describe the simulated balance behavior. Time series, Frequency Response Functions, and estimated parameters from human experiments, computer simulations, and robot experiments were compared with each other. The computer simulations showed similar balance behavior and estimated control parameters compared to the human experiments, in the time and frequency domain. Also, the IC model was able to control the humanoid robot by keeping it upright, but showed small differences compared to the human experiments in the time and frequency domain, especially at high frequencies. We conclude that the IC model, a descriptive model in the frequency domain, can imitate human balance behavior also in the time domain, both in computer simulations with added noise and real world situations with a

  15. Comparison of kinematic and dynamic leg trajectory optimization techniques for biped robot locomotion

    Science.gov (United States)

    Khusainov, R.; Klimchik, A.; Magid, E.

    2017-01-01

    The paper presents comparison analysis of two approaches in defining leg trajectories for biped locomotion. The first one operates only with kinematic limitations of leg joints and finds the maximum possible locomotion speed for given limits. The second approach defines leg trajectories from the dynamic stability point of view and utilizes ZMP criteria. We show that two methods give different trajectories and demonstrate that trajectories based on pure dynamic optimization cannot be realized due to joint limits. Kinematic optimization provides unstable solution which can be balanced by upper body movement.

  16. Optimal three-dimensional biped walking pattern generation based on geodesics

    Directory of Open Access Journals (Sweden)

    Liandong Zhang

    2017-03-01

    Full Text Available The innovative three-dimensional humanoid biped gait planning method using geodesics is introduced in this article. In order to control three-dimensional walking, the three-dimensional linear inverted pendulum model is studied in our energy-optimal gait planning based on geodesics. The kinetic energy of the three-dimensional linear inverted pendulum model is calculated at first. Based on this kinetic energy model, the Riemannian metric is defined and the Riemannian surface is further determined by this Riemannian metric. The geodesic is the shortest line between two points on the Riemannian surface. This geodesic is the optimal kinetic energy gait for the center of gravity because the kinetic energy along the geodesic is invariant according to the geometric property of geodesics and the walking is energy-saving. Finally, a simulation experiment using a 12-degree-of-freedom biped robot model is implemented. The gait sequences of the simulated RoboErectus humanoid robot are obtained in the ROS (Robot Operating System Gazebo environment. The proposed geodesics approach is compared with the traditional sinusoidal interpolation method by analyzing the torque feedback of each joint of both legs, and our geodesics optimization gait planning method for three-dimensional linear inverted pendulum model walking control is verified by the assessment results.

  17. 3-D Biped Robot Walking along Slope with Dual Length Linear Inverted Pendulum Method (DLLIPM

    Directory of Open Access Journals (Sweden)

    Fariz Ali

    2013-11-01

    Full Text Available A new design method to obtain walking parameters for a three-dimensional (3D biped walking along a slope is proposed in this paper. Most research is focused on the walking directions when climbing up or down a slope only. This paper investigates a strategy to realize biped walking along a slope. In conventional methods, the centre of mass (CoM is moved up or down during walking in this situation. This is because the height of the pendulum is kept at the same length on the left and right legs. Thus, extra effort is required in order to bring the CoM up to higher ground. In the proposed method, a different height of pendulum is applied on the left and right legs, which is called a dual length linear inverted pendulum method (DLLIPM. When a different height of pendulum is applied, it is quite difficult to obtain symmetrical and smooth pendulum motions. Furthermore, synchronization between sagittal and lateral planes is not confirmed. Therefore, DLLIPM with a Newton Raphson algorithm is proposed to solve these problems. The walking pattern for both planes is designed systematically and synchronization between them is ensured. As a result, the maximum force fluctuation is reduced with the proposed method.

  18. The Making of a 3D-Printed, Cable-Driven, Single-Model, Lightweight Humanoid Robotic Hand

    Directory of Open Access Journals (Sweden)

    Li Tian

    2017-12-01

    Full Text Available Dexterity robotic hands can (Cummings, 1996 greatly enhance the functionality of humanoid robots, but the making of such hands with not only human-like appearance but also the capability of performing the natural movement of social robots is a challenging problem. The first challenge is to create the hand’s articulated structure and the second challenge is to actuate it to move like a human hand. A robotic hand for humanoid robot should look and behave human like. At the same time, it also needs to be light and cheap for widely used purposes. We start with studying the biomechanical features of a human hand and propose a simplified mechanical model of robotic hands, which can achieve the important local motions of the hand. Then, we use 3D modeling techniques to create a single interlocked hand model that integrates pin and ball joints to our hand model. Compared to other robotic hands, our design saves the time required for assembling and adjusting, which makes our robotic hand ready-to-use right after the 3D printing is completed. Finally, the actuation of the hand is realized by cables and motors. Based on this approach, we have designed a cost-effective, 3D printable, compact, and lightweight robotic hand. Our robotic hand weighs 150 g, has 15 joints, which are similar to a real human hand, and 6 Degree of Freedom (DOFs. It is actuated by only six small size actuators. The wrist connecting part is also integrated into the hand model and could be customized for different robots such as Nadine robot (Magnenat Thalmann et al., 2017. The compact servo bed can be hidden inside the Nadine robot’s sleeve and the whole robotic hand platform will not cause extra load to her arm as the total weight (150 g robotic hand and 162 g artificial skin is almost the same as her previous unarticulated robotic hand which is 348 g. The paper also shows our test results with and without silicon artificial hand skin, and on Nadine robot.

  19. Desarrollo de algoritmo para detección y comando de robots humanoides en tareas de recolección

    Directory of Open Access Journals (Sweden)

    Germán Andrés Vargas Torres

    2015-07-01

    Full Text Available This article presents an algorithm which commands a group of Bioloid humanoid robots in order to organize them around an object of interest, previously detected by an external vision system. The robots form a Multi-Agent System (MAS oriented towards cooperative gathering tasks. Development of the MAS, as well as each of the organization algorithm’s components and simulation inside a virtual environment are all detailed. The algorithm is subdivided in two dedicated threads: one of which handles machine vision (filtering, contour detection and classification achieved through EmguCV libraries and operational space calculations, and another which operates ZigBee wireless communication with the robots. Furthermore, the robots possess their own embedded code which enables them to translate a sequence of received instructions into gait patterns which allow them to move towards the object of interest. Total execution time for the gathering task is chosen as the global performance measure to evaluate.

  20. Contextual action recognition and target localization with an active allocation of attention on a humanoid robot

    International Nuclear Information System (INIS)

    Ognibene, Dimitri; Chinellato, Eris; Sarabia, Miguel; Demiris, Yiannis

    2013-01-01

    Exploratory gaze movements are fundamental for gathering the most relevant information regarding the partner during social interactions. Inspired by the cognitive mechanisms underlying human social behaviour, we have designed and implemented a system for a dynamic attention allocation which is able to actively control gaze movements during a visual action recognition task exploiting its own action execution predictions. Our humanoid robot is able, during the observation of a partner's reaching movement, to contextually estimate the goal position of the partner's hand and the location in space of the candidate targets. This is done while actively gazing around the environment, with the purpose of optimizing the gathering of information relevant for the task. Experimental results on a simulated environment show that active gaze control, based on the internal simulation of actions, provides a relevant advantage with respect to other action perception approaches, both in terms of estimation precision and of time required to recognize an action. Moreover, our model reproduces and extends some experimental results on human attention during an action perception. (paper)

  1. A measured-ZMP(Zero-Moment-Point)-referenced control of biped locomotion robots

    International Nuclear Information System (INIS)

    Kume, Etsuo; Akimoto, Masayuki

    1994-01-01

    For the control of biped locomotion, the model-referenced-control or programmed control method is widely used. In this method, the instantaneous torque of actuator equipped at each joint is controlled so as to equalize measured angle to input joint angle based on the prescribed motion. The drawback is that this method can not deal with the dynamic change of walking such as that due to unknown external force. To resolve such the drawback, we propose a new control method as follows: given a prescribed motion as a set of gait, namely gait of starting walk, cyclic walk, and stopping walk including a standard trajectory of the Zero-Moment-Point (ZMP), the trunk motion to compensate the legs' motion is generated in real time using the current ZMP measured by sensing device. The proposed method will be validated through some numerical simulations. (author)

  2. Optimal synthesis of the worm-lever mechanism for humanoid robots shrug

    Directory of Open Access Journals (Sweden)

    Penčić Marko

    2017-01-01

    Full Text Available Emotions represent a significant means of nonverbal communication and their expression represents an important aspect of social robots functionality. There are two basic ways of expressing emotions. The first one is based on facial expressions that can be realized by moving a particular part of face or by displaying a picture on the screen that represents a face with characteristic features such as eyebrows, eyes, nose and mouth. Combining them is also possible. The second way of nonverbal communication is based on gestures, especially using arms. This paper presents an optimal synthesis of shrug mechanism for humanoid robots. Based on the set requirements the worm-lever mechanism is proposed. It has 1 DOF and enables simultaneous shrug of both shoulders. It consists of a worm which is meshed with two worm gears having different directions of rotation and two four-bar lever mechanisms whose input links are rigidly connected to the worm gears. Based on the kinematic-dynamic analysis the dynamic model is formed, the objective function is defined, the constraints are prescribed and the optimal synthesis is performed. The maximum torque on the input link of the lever mechanism, the driving torque of the complete worm-lever mechanism, the range of transmission angle and the rotation range of the worm gears are determined. The lever mechanism has high efficiency in all positions because the transmission angle has a high value during the whole movement. The worm mechanism enables a significant reduction of driving torque and has acceptable efficiency. The rotation range of the worm gear is small – the mechanism movement is very quick and therefore the shrug speed is large, which was the basic requirement for realization. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III44008

  3. Modeling and Finite-Time Walking Control of a Biped Robot with Feet

    Directory of Open Access Journals (Sweden)

    Juan E. Machado

    2015-01-01

    discontinuous and continuous sliding mode control in the presence of parametric uncertainty and external disturbances. The robot model and the synthesized controller are evaluated through numerical simulations.

  4. Grounding Action Words in the Sensorimotor Interaction with the World: Experiments with a Simulated iCub Humanoid Robot.

    Science.gov (United States)

    Marocco, Davide; Cangelosi, Angelo; Fischer, Kerstin; Belpaeme, Tony

    2010-01-01

    This paper presents a cognitive robotics model for the study of the embodied representation of action words. The present research will present how an iCub humanoid robot can learn the meaning of action words (i.e. words that represent dynamical events that happen in time) by physically interacting with the environment and linking the effects of its own actions with the behavior observed on the objects before and after the action. The control system of the robot is an artificial neural network trained to manipulate an object through a Back-Propagation-Through-Time algorithm. We will show that in the presented model the grounding of action words relies directly to the way in which an agent interacts with the environment and manipulates it.

  5. Grounding action words in the sensorimotor interaction with the world: experiments with a simulated iCub humanoid robot

    Directory of Open Access Journals (Sweden)

    Davide Marocco

    2010-05-01

    Full Text Available This paper presents a cognitive robotics model for the study of the embodied representation of action words. The present research will present how a iCub humanoid robot can learn the meaning of action words (i.e. words that represent dynamical events that happen in time by physically acting on the environment and linking the effects of its own actions with the behaviour observed on the objects before and after the action. The control system of the robot is an artificial neural network trained to manipulate an object through a Back-Propagation Through Time algorithm. We will show that in the presented model the grounding of action words relies directly to the way in which an agent interacts with the environment and manipulates it.

  6. Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox

    Directory of Open Access Journals (Sweden)

    M. J. Mahmoodabadi

    2014-01-01

    Full Text Available An optimal robust state feedback tracking controller is introduced to control a biped robot. In the literature, the parameters of the controller are usually determined by a tedious trial and error process. To eliminate this process and design the parameters of the proposed controller, the multiobjective evolutionary algorithms, that is, the proposed method, modified NSGAII, Sigma method, and MATLAB’s Toolbox MOGA, are employed in this study. Among the used evolutionary optimization algorithms to design the controller for biped robots, the proposed method operates better in the aspect of designing the controller since it provides ample opportunities for designers to choose the most appropriate point based upon the design criteria. Three points are chosen from the nondominated solutions of the obtained Pareto front based on two conflicting objective functions, that is, the normalized summation of angle errors and normalized summation of control effort. Obtained results elucidate the efficiency of the proposed controller in order to control a biped robot.

  7. On ‘Spillikin – A Love Story’: Issues around the Humanoid Robot as a Social Actor on Stage

    Directory of Open Access Journals (Sweden)

    Eugenia Stamboliev

    2017-11-01

    Full Text Available The inclusion of media technology in theatrical plays (Saltz, 2013 follows a contingent fascination and entanglement between human actors, technology and automata (Reilly, 2011 on stage. The contemporary play Spillikin – A Love Story places a new digital ‘ac⁠tor’ in this debate: the humanoid robot as a socially interactive agent (Breazeal, 2002; Fong, Nourbakhsh, & Dautenhahn, 2003 and caring companion. This paper discusses the exhibition of sociability through the robot’s humanlike gestures and its ability to decipher human gestures on stage. The aim is to point to the ethical consequences for the audience concerning the robot’s implied autonomy to interact socially.

  8. Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment.

    Directory of Open Access Journals (Sweden)

    Yuichi Yamashita

    2008-11-01

    Full Text Available It is generally thought that skilled behavior in human beings results from a functional hierarchy of the motor control system, within which reusable motor primitives are flexibly integrated into various sensori-motor sequence patterns. The underlying neural mechanisms governing the way in which continuous sensori-motor flows are segmented into primitives and the way in which series of primitives are integrated into various behavior sequences have, however, not yet been clarified. In earlier studies, this functional hierarchy has been realized through the use of explicit hierarchical structure, with local modules representing motor primitives in the lower level and a higher module representing sequences of primitives switched via additional mechanisms such as gate-selecting. When sequences contain similarities and overlap, however, a conflict arises in such earlier models between generalization and segmentation, induced by this separated modular structure. To address this issue, we propose a different type of neural network model. The current model neither makes use of separate local modules to represent primitives nor introduces explicit hierarchical structure. Rather than forcing architectural hierarchy onto the system, functional hierarchy emerges through a form of self-organization that is based on two distinct types of neurons, each with different time properties ("multiple timescales". Through the introduction of multiple timescales, continuous sequences of behavior are segmented into reusable primitives, and the primitives, in turn, are flexibly integrated into novel sequences. In experiments, the proposed network model, coordinating the physical body of a humanoid robot through high-dimensional sensori-motor control, also successfully situated itself within a physical environment. Our results suggest that it is not only the spatial connections between neurons but also the timescales of neural activity that act as important mechanisms

  9. Feasibility of using a humanoid robot for enhancing attention and social skills in adolescents with autism spectrum disorder.

    Science.gov (United States)

    Jordan, Kimberlee; King, Marcus; Hellersteth, Sophia; Wirén, Anna; Mulligan, Hilda

    2013-09-01

    This study investigated the use of robotic technology for promoting attention, communication and social skills in adolescents with autism spectrum disorder (ASD). Attention, communication and social skills were measured while participants played a memory card matching game (Face Match) using (a) a humanoid robot, (b) a Smart Board and (c) playing cards. Three participants with ASD and three with other cognitive impairments were recruited from a secondary school with a special needs unit. Participants were paired such that one of each pair had a diagnosis of ASD and Face Match was played in these pairs for ∼15 min, with a game organizer present. On 3 separate days, video recordings were made as the participants played Face Match; a different game mode (robot, Smart Board, playing cards) was used each day. A system for categorizing attention, communication and social skills was developed that described 16 subcategories of interactions and intra-actions. In general, participants with ASD showed highly individualized patterns of behaviour in the three different modes. However, repetitive behaviour was reduced in participants with ASD when using both the robot and the Smart Board compared with playing cards. We show that it is feasible to use a robot to assist teaching of social skills to adolescents with ASD, but suggest that the robot features could be further explored and utilized.

  10. Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.

    Science.gov (United States)

    Batula, Alyssa M; Kim, Youngmoo E; Ayaz, Hasan

    2017-01-01

    Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emerging and has shown potential as a supplement or replacement for electroencephalography. However, studies often use only two or three motor-imagery tasks, limiting the number of available commands. In this work, we present the results of the first four-class motor-imagery-based online fNIRS-BCI for robot control. Thirteen participants utilized upper- and lower-limb motor-imagery tasks (left hand, right hand, left foot, and right foot) that were mapped to four high-level commands (turn left, turn right, move forward, and move backward) to control the navigation of a simulated or real robot. A significant improvement in classification accuracy was found between the virtual-robot-based BCI (control of a virtual robot) and the physical-robot BCI (control of the DARwIn-OP humanoid robot). Differences were also found in the oxygenated hemoglobin activation patterns of the four tasks between the first and second BCI. These results corroborate previous findings that motor imagery can be improved with feedback and imply that a four-class motor-imagery-based fNIRS-BCI could be feasible with sufficient subject training.

  11. HYDROïD humanoid robot head with perception and emotion capabilities :Modeling, Design and Experimental Results

    Directory of Open Access Journals (Sweden)

    Samer eAlfayad

    2016-04-01

    Full Text Available In the framework of the HYDROïD humanoid robot project, this paper describes the modeling and design of an electrically actuated head mechanism. Perception and emotion capabilities are considered in the design process. Since HYDROïD humanoid robot is hydraulically actuated, the choice of electrical actuation for the head mechanism addressed in this paper is justified. Considering perception and emotion capabilities leads to a total number of 15 degrees of freedom for the head mechanism which are split on four main sub-mechanisms: the neck, the mouth, the eyes and the eyebrows. Biological data and kinematics performances of human head are taken as inputs of the design process. A new solution of uncoupled eyes is developed to possibly address the master-slave process that links the human eyes as well as vergence capabilities. Modeling each sub-system is carried out in order to get equations of motion, their frequency responses and their transfer functions. The neck pitch rotation is given as a study example. Then, the head mechanism performances are presented through a comparison between model and experimental results validating the hardware capabilities. Finally, the head mechanism is integrated on the HYDROïD upper-body. An object tracking experiment coupled with emotional expressions is carried out to validate the synchronization of the eye rotations with the body motions.

  12. Modelling of dynamically stable AR-601M robot locomotion in Simulink

    Directory of Open Access Journals (Sweden)

    Khusainov Ramil

    2016-01-01

    Full Text Available Humanoid robots will gradually play an important role in our daily lives. Currently, research on anthropomorphic robots and biped locomotion is one of the most important problems in the field of mobile robotics, and the development of reliable control algorithms for them is a challenging task. In this research two algorithms for stable walking of Russian anthropomorphic robot AR-601M with 41 Degrees of Freedom (DoF are investigated. To achieve a human-like dynamically stable locomotion 6 DoF in each robot leg are controlled with Virtual Height Inverted Pendulum and Preview control methods.

  13. Dynamic stability and phase resetting during biped gait

    Science.gov (United States)

    Nomura, Taishin; Kawa, Kazuyoshi; Suzuki, Yasuyuki; Nakanishi, Masao; Yamasaki, Taiga

    2009-06-01

    Dynamic stability during periodic biped gait in humans and in a humanoid robot is considered. Here gait systems of human neuromusculoskeletal system and a humanoid are simply modeled while keeping their mechanical properties plausible. We prescribe periodic gait trajectories in terms of joint angles of the models as a function of time. The equations of motion of the models are then constrained by one of the prescribed gait trajectories to obtain types of periodically forced nonlinear dynamical systems. Simulated gait of the models may or may not fall down during gait, since the constraints are made only for joint angles of limbs but not for the motion of the body trunk. The equations of motion can exhibit a limit cycle solution (or an oscillatory solution that can be considered as a limit cycle practically) for each selected gait trajectory, if an initial condition is set appropriately. We analyze the stability of the limit cycle in terms of Poincaré maps and the basin of attraction of the limit cycle in order to examine how the stability depends on the prescribed trajectory. Moreover, the phase resetting of gait rhythm in response to external force perturbation is modeled. Since we always prescribe a gait trajectory in this study, reacting gait trajectories during the phase resetting are also prescribed. We show that an optimally prescribed reacting gait trajectory with an appropriate amount of the phase resetting can increase the gait stability. Neural mechanisms for generation and modulation of the gait trajectories are discussed.

  14. Period-three route to chaos induced by a cyclic-fold bifurcation in passive dynamic walking of a compass-gait biped robot

    Science.gov (United States)

    Gritli, Hassène; Khraief, Nahla; Belghith, Safya

    2012-11-01

    This paper presents a study of the passive dynamic walking of a compass-gait biped robot as it goes down an inclined plane. This biped robot is a two-degrees-of-freedom mechanical system modeled by an impulsive hybrid nonlinear dynamics with unilateral constraints. It is well-known to possess periodic as well as chaotic gaits and to possess only one stable gait for a given set of parameters. The main contribution of this paper is the finding of a window in the parameters space of the compass-gait model where there is multistability. Using constraints of a grazing bifurcation on the basis of a shooting method and the Davidchack-Lai scheme, we show that, depending on initial conditions, new passive walking patterns can be observed besides those already known. Through bifurcation diagrams and Floquet multipliers, we show that a pair of stable and unstable period-three gait patterns is generated through a cyclic-fold bifurcation. We show also that the stable period-three orbit generates a route to chaos.

  15. Kinematics design and human motion transfer for a humanoid service robot arm

    CSIR Research Space (South Africa)

    Dube, C

    2009-11-01

    Full Text Available (DOF) humanoid arm which has a two DOF shoulder girdle and has a four DOF glenohumeral joint is presented. A method of obtaining the sternum position, which forms the movement reference frame for the ten DOF arm, is formulated from human motion capture...

  16. Eye-head stabilization mechanism for a humanoid robot tested on human inertial data

    DEFF Research Database (Denmark)

    Vannucci, Lorenzo; Falotico, Egidio; Tolu, Silvia

    2016-01-01

    they keep the image stationary on the retina. In this work we present the first complete model of eye-head stabilization based on the coordination of VCR and VOR. The model is provided with learning and adaptation capabilities based on internal models. Tests on a simulated humanoid platform replicating...

  17. Human-Derived Disturbance Estimation and Compensation (DEC Method Lends Itself to a Modular Sensorimotor Control in a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Vittorio Lippi

    2017-09-01

    Full Text Available The high complexity of the human posture and movement control system represents challenges for diagnosis, therapy, and rehabilitation of neurological patients. We envisage that engineering-inspired, model-based approaches will help to deal with the high complexity of the human posture control system. Since the methods of system identification and parameter estimation are limited to systems with only a few DoF, our laboratory proposes a heuristic approach that step-by-step increases complexity when creating a hypothetical human-derived control systems in humanoid robots. This system is then compared with the human control in the same test bed, a posture control laboratory. The human-derived control builds upon the identified disturbance estimation and compensation (DEC mechanism, whose main principle is to support execution of commanded poses or movements by compensating for external or self-produced disturbances such as gravity effects. In previous robotic implementation, up to 3 interconnected DEC control modules were used in modular control architectures separately for the sagittal plane or the frontal body plane and successfully passed balancing and movement tests. In this study we hypothesized that conflict-free movement coordination between the robot's sagittal and frontal body planes emerges simply from the physical embodiment, not necessarily requiring a full body control. Experiments were performed in the 14 DoF robot Lucy Posturob (i demonstrating that the mechanical coupling from the robot's body suffices to coordinate the controls in the two planes when the robot produces movements and balancing responses in the intermediate plane, (ii providing quantitative characterization of the interaction dynamics between body planes including frequency response functions (FRFs, as they are used in human postural control analysis, and (iii witnessing postural and control stability when all DoFs are challenged together with the emergence of inter

  18. Stable Gait Generation of a Quasi-Passive Biped Walking Robot Based on Mode Decomposition

    Science.gov (United States)

    Matsumoto, Itaru

    A passive walker is a robot which can walk down a shallow slope without active control or energy input, being powered only by gravity. This paper proposes a control law that can stabilize the gait of a quasi-passive walker by manipulating torque at the hip joint. The motion of the quasi-passive walker is divided into two modes: one is a sinusoidal mode and the other a hyperbolic sinusoidal mode. The controller is designed with a servo system which forces the motion of the sinusoidal mode to track the reference input signal obtained from the phase-plane trajectory of the hyperbolic sinusoidal mode. The generated gait is quite natural, because the input of the servo system is made based on the system dynamics. The results of simulations have demonstrated the effectiveness of the proposed control law.

  19. Online control of a humanoid robot through hand movement imagination using CSP and ECoG based features.

    Science.gov (United States)

    Kapeller, C; Gergondet, P; Kamada, K; Ogawa, H; Takeuchi, F; Ortner, R; Pruckl, R; Kheddar, A; Scharinger, J; Guger, C

    2015-08-01

    Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for intuitive control of devices like robots. A common strategy for realizing such a system is the motor imagery (MI) BCI using electroencephalography (EEG). Changing to invasive recordings like electrocorticography (ECoG) allows extracting very robust features and easy introduction of an idle state, which might simplify the mental task and allow the subject to focus on the environment. Especially for multi-channel recordings like ECoG, common spatial patterns (CSP) provide a powerful tool for feature optimization and dimensionality reduction. This work focuses on an invasive and independent MI BCI that allows triggering from an idle state, and therefore facilitates tele-operation of a humanoid robot. The task was to lift a can with the robot's hand. One subject participated and reached 95.4 % mean online accuracy after six runs of 40 trials. To our knowledge, this is the first online experiment with a MI BCI using CSPs from ECoG signals.

  20. Adaptive gaze stabilization through cerebellar internal models in a humanoid robot

    DEFF Research Database (Denmark)

    Vannucci, Lorenzo; Tolu, Silvia; Falotico, Egidio

    2016-01-01

    Two main classes of reflexes relying on the vestibular system are involved in the stabilization of the human gaze: The vestibulocollic reflex (VCR), which stabilizes the head in space and the vestibulo-ocular reflex (VOR), which stabilizes the visual axis to minimize retinal image motion. The VOR...... on the coordination of VCR and VOR and OKR. The model, inspired on neuroscientific cerebellar theories, is provided with learning and adaptation capabilities based on internal models. Tests on a simulated humanoid platform confirm the effectiveness of our approach....

  1. Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.

    Science.gov (United States)

    Seepanomwan, Kristsana; Caligiore, Daniele; Cangelosi, Angelo; Baldassarre, Gianluca

    2015-12-01

    Mental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if it matches a target object. In recent years, mental rotation has been investigated with brain imaging techniques to identify the brain areas involved. Mental rotation has also been investigated through the development of neural-network models, used to identify the specific mechanisms that underlie its process, and with neurorobotics models to investigate its embodied nature. Current models, however, have limited capacities to relate to neuro-scientific evidence, to generalise mental rotation to new objects, to suitably represent decision making mechanisms, and to allow the study of the effects of overt gestures on mental rotation. The work presented in this study overcomes these limitations by proposing a novel neurorobotic model that has a macro-architecture constrained by knowledge held on brain, encompasses a rather general mental rotation mechanism, and incorporates a biologically plausible decision making mechanism. The model was tested using the humanoid robot iCub in tasks requiring the robot to mentally rotate 2D geometrical images appearing on a computer screen. The results show that the robot gained an enhanced capacity to generalise mental rotation to new objects and to express the possible effects of overt movements of the wrist on mental rotation. The model also represents a further step in the identification of the embodied neural mechanisms that may underlie mental rotation in humans and might also give hints to enhance robots' planning capabilities. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  2. Design and Teleoperative Control of Humanoid Robot Upper Body for Task-driven Assistance

    OpenAIRE

    Stevens, Michael Alexander

    2013-01-01

    Both civilian and defense industry rely heavily on robotics which continues to gain a more prominent role. To exemplify, defense strategies in Middle East have relied upon robotic drones and teleoperative assistant robots for mission oriented tasks. These operations have been crucial in saving the lives of soldiers and giving us the edge in mitigating disasters. Future assistive robotics will have direct human interaction and will reside in normal human environments. As the advancement in tec...

  3. Numerical simulation of human biped locomotion

    International Nuclear Information System (INIS)

    Ishiguro, Misako; Fujisaki, Masahide

    1988-04-01

    This report describes the numerical simulation of the motion of human-like robot which is one of the research theme of human acts simulation program (HASP) begun at the Computing Center of JAERI in 1987. The purpose of the theme is to model the human motion using robotics kinematic/kinetic equations and to get the joint angles as the solution. As the first trial, we treat the biped locomotion (walking) which is the most fundamental human motion. We implemented a computer program on FACOM M-780 computer, where the program is originated from the book of M. Vukobratovic in Yugoslavia, and made a graphic program to draw a walking shot sequence. Mainly described here are the mathematical model of the biped locomotion, implementation method of the computer program, input data for basic walking pattern, computed results and its validation, and graphic representation of human walking image. Literature survey on robotics equation and biped locomotion is also included. (author)

  4. Human-Inspired Eigenmovement Concept Provides Coupling-Free Sensorimotor Control in Humanoid Robot

    Czech Academy of Sciences Publication Activity Database

    Alexandrov, A.V.; Lippi, V.; Mergner, T.; Frolov, A. A.; Hettich, G.; Húsek, Dušan

    2017-01-01

    Roč. 11, 25 April (2017), č. článku 22. ISSN 1662-5188 Institutional support: RVO:67985807 Keywords : human sensorimotor system * neuromechanics * biorobotics * motor control * eigenmovements Subject RIV: JD - Computer Applications, Robotics OBOR OECD: Robotics and automatic control Impact factor: 1.821, year: 2016

  5. Effect of motion smoothness on brain activity while observing a dance: An fMRI study using a humanoid robot.

    Science.gov (United States)

    Miura, Naoki; Sugiura, Motoaki; Takahashi, Makoto; Sassa, Yuko; Miyamoto, Atsushi; Sato, Shigeru; Horie, Kaoru; Nakamura, Katsuki; Kawashima, Ryuta

    2010-01-01

    Motion smoothness is critical in transmitting implicit information of body action, such as aesthetic qualities in dance performances. We expected that the perception of motion smoothness would be characterized by great intersubject variability deriving from differences in personal backgrounds and attitudes toward expressive body actions. We used functional magnetic resonance imaging and a humanoid robot to investigate the effects of the motion smoothness of expressive body actions and the intersubject variability due to personal attitudes on perceptions during dance observation. The effect of motion smoothness was analyzed by both conventional subtraction analysis and functional connectivity analyses that detect cortical networks reflecting intersubject variability. The results showed that the cortical networks of motion- and body-sensitive visual areas showed increases in activity in areas corresponding with motion smoothness, but the intersubject variability of personal attitudes toward art did not influence these active areas. In contrast, activation of cortical networks, including the parieto-frontal network, has large intersubject variability, and this variability is associated with personal attitudes about the consciousness of art. Thus, our results suggest that activity in the cortical network involved in understanding action is influenced by personal attitudes about the consciousness of art during observations of expressive body actions.

  6. Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot

    Directory of Open Access Journals (Sweden)

    Vincenzo G. Fiore

    2014-02-01

    Full Text Available The effects of striatal dopamine (DA on behavior have been widely investigated over the past decades, with ``phasic'' burst firings considered as the key expression of a reward prediction error responsible for reinforcement learning. Less well studied is tonic DA, where putative functions include the idea that it is a regulator of vigor, incentive salience, disposition to exert an effort and a modulator of approach strategies. We present a preliminary model combining tonic and phasic DA to show how different outflows triggered by either intrinsically or extrinsically motivating stimuli dynamically affect the basal ganglia by impacting on a selection process that this system performs on the inputs provided by the targeted cortex.The model, which has been tested on the simulated humanoid robot iCub in the interaction with a mechatronic board, shows the putative functions ascribed to DA emerging from the combination of a standard computational mechanism coupled to a differential sensitivity to the presence of DA across the striatum.

  7. A neuron-inspired computational architecture for spatiotemporal visual processing: real-time visual sensory integration for humanoid robots.

    Science.gov (United States)

    Holzbach, Andreas; Cheng, Gordon

    2014-06-01

    In this article, we present a neurologically motivated computational architecture for visual information processing. The computational architecture's focus lies in multiple strategies: hierarchical processing, parallel and concurrent processing, and modularity. The architecture is modular and expandable in both hardware and software, so that it can also cope with multisensory integrations - making it an ideal tool for validating and applying computational neuroscience models in real time under real-world conditions. We apply our architecture in real time to validate a long-standing biologically inspired visual object recognition model, HMAX. In this context, the overall aim is to supply a humanoid robot with the ability to perceive and understand its environment with a focus on the active aspect of real-time spatiotemporal visual processing. We show that our approach is capable of simulating information processing in the visual cortex in real time and that our entropy-adaptive modification of HMAX has a higher efficiency and classification performance than the standard model (up to ∼+6%).

  8. A Basic Architecture of an Autonomous Adaptive System With Conscious-Like Function for a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Yasuo Kinouchi

    2018-04-01

    Full Text Available In developing a humanoid robot, there are two major objectives. One is developing a physical robot having body, hands, and feet resembling those of human beings and being able to similarly control them. The other is to develop a control system that works similarly to our brain, to feel, think, act, and learn like ours. In this article, an architecture of a control system with a brain-oriented logical structure for the second objective is proposed. The proposed system autonomously adapts to the environment and implements a clearly defined “consciousness” function, through which both habitual behavior and goal-directed behavior are realized. Consciousness is regarded as a function for effective adaptation at the system-level, based on matching and organizing the individual results of the underlying parallel-processing units. This consciousness is assumed to correspond to how our mind is “aware” when making our moment to moment decisions in our daily life. The binding problem and the basic causes of delay in Libet’s experiment are also explained by capturing awareness in this manner. The goal is set as an image in the system, and efficient actions toward achieving this goal are selected in the goal-directed behavior process. The system is designed as an artificial neural network and aims at achieving consistent and efficient system behavior, through the interaction of highly independent neural nodes. The proposed architecture is based on a two-level design. The first level, which we call the “basic-system,” is an artificial neural network system that realizes consciousness, habitual behavior and explains the binding problem. The second level, which we call the “extended-system,” is an artificial neural network system that realizes goal-directed behavior.

  9. Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin

    Science.gov (United States)

    Roncone, Alessandro; Fadiga, Luciano; Metta, Giorgio

    2016-01-01

    This paper investigates a biologically motivated model of peripersonal space through its implementation on a humanoid robot. Guided by the present understanding of the neurophysiology of the fronto-parietal system, we developed a computational model inspired by the receptive fields of polymodal neurons identified, for example, in brain areas F4 and VIP. The experiments on the iCub humanoid robot show that the peripersonal space representation i) can be learned efficiently and in real-time via a simple interaction with the robot, ii) can lead to the generation of behaviors like avoidance and reaching, and iii) can contribute to the understanding the biological principle of motor equivalence. More specifically, with respect to i) the present model contributes to hypothesizing a learning mechanisms for peripersonal space. In relation to point ii) we show how a relatively simple controller can exploit the learned receptive fields to generate either avoidance or reaching of an incoming stimulus and for iii) we show how the robot can select arbitrary body parts as the controlled end-point of an avoidance or reaching movement. PMID:27711136

  10. Supervisory Control of a Humanoid Robot in Microgravity for Manipulation Tasks

    Science.gov (United States)

    Farrell, Logan C.; Strawser, Phil; Hambuchen, Kimberly; Baker, Will; Badger, Julia

    2017-01-01

    Teleoperation is the dominant form of dexterous robotic tasks in the field. However, there are many use cases in which direct teleoperation is not feasible such as disaster areas with poor communication as posed in the DARPA Robotics Challenge, or robot operations on spacecraft a large distance from Earth with long communication delays. Presented is a solution that combines the Affordance Template Framework for object interaction with TaskForce for supervisory control in order to accomplish high level task objectives with basic autonomous behavior from the robot. TaskForce, is a new commanding infrastructure that allows for optimal development of task execution, clear feedback to the user to aid in off-nominal situations, and the capability to add autonomous verification and corrective actions. This framework has allowed the robot to take corrective actions before requesting assistance from the user. This framework is demonstrated with Robonaut 2 removing a Cargo Transfer Bag from a simulated logistics resupply vehicle for spaceflight using a single operator command. This was executed with 80% success with no human involvement, and 95% success with limited human interaction. This technology sets the stage to do any number of high level tasks using a similar framework, allowing the robot to accomplish tasks with minimal to no human interaction.

  11. iCub-HRI: A Software Framework for Complex Human–Robot Interaction Scenarios on the iCub Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Tobias Fischer

    2018-03-01

    Full Text Available Generating complex, human-like behavior in a humanoid robot like the iCub requires the integration of a wide range of open source components and a scalable cognitive architecture. Hence, we present the iCub-HRI library which provides convenience wrappers for components related to perception (object recognition, agent tracking, speech recognition, and touch detection, object manipulation (basic and complex motor actions, and social interaction (speech synthesis and joint attention exposed as a C++ library with bindings for Java (allowing to use iCub-HRI within Matlab and Python. In addition to previously integrated components, the library allows for simple extension to new components and rapid prototyping by adapting to changes in interfaces between components. We also provide a set of modules which make use of the library, such as a high-level knowledge acquisition module and an action recognition module. The proposed architecture has been successfully employed for a complex human–robot interaction scenario involving the acquisition of language capabilities, execution of goal-oriented behavior and expression of a verbal narrative of the robot’s experience in the world. Accompanying this paper is a tutorial which allows a subset of this interaction to be reproduced. The architecture is aimed at researchers familiarizing themselves with the iCub ecosystem, as well as expert users, and we expect the library to be widely used in the iCub community.

  12. Quantifying Upper-Arm Rehabilitation Metrics for Children through Interaction with a Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Douglas A. Brooks

    2012-01-01

    Full Text Available The objective of this research effort is to integrate therapy instruction with child-robot play interaction in order to better assess upper-arm rehabilitation. Using computer vision techniques such as Motion History Imaging (MHI, edge detection, and Random Sample Consensus (RANSAC, movements can be quantified through robot observation. In addition, incorporating prior knowledge regarding exercise data, physical therapeutic metrics, and novel approaches, a mapping to therapist instructions can be created allowing robotic feedback and intelligent interaction. The results are compared with ground truth data retrieved via the Trimble 5606 Robotic Total Station and visual experts for the purpose of assessing the efficiency of this approach. We performed a series of upper-arm exercises with two male subjects, which were captured via a simple webcam. The specific exercises involved adduction and abduction and lateral and medial movements. The analysis shows that our algorithmic results compare closely to the results obtain from the ground truth data, with an average algorithmic error is less than 9% for the range of motion and less than 8% for the peak angular velocity of each subject.

  13. Self-improving biped locomotion

    Science.gov (United States)

    Teixeira, C.; Costa, L.; Santos, C.

    2013-10-01

    An approach addressing biped locomotion is here introduced. Central Pattern Generators (CPGs) and Dynamic Movement Primitives (DMPs) were combined to easily produce complex trajectories for the joints of a simulated DARwIn-OP. Policy Learning by Weighting Exploration with the Returns (PoWER) was implemented to improve the robot's locomotion through variation of the DMP's parameters. Maximization of the DARwIn-OP's frontal velocity was addressed and results show a velocity improvement of 213%. The results are very promising and demonstrate the approach's flexibility at generating new trajectories for locomotion.

  14. Robotic hand with locking mechanism using TCP muscles for applications in prosthetic hand and humanoids

    Science.gov (United States)

    Saharan, Lokesh; Tadesse, Yonas

    2016-04-01

    This paper presents a biomimetic, lightweight, 3D printed and customizable robotic hand with locking mechanism consisting of Twisted and Coiled Polymer (TCP) muscles based on nylon precursor fibers as artificial muscles. Previously, we have presented a small-sized biomimetic hand using nylon based artificial muscles and fishing line muscles as actuators. The current study focuses on an adult-sized prosthetic hand with improved design and a position/force locking system. Energy efficiency is always a matter of concern to make compact, lightweight, durable and cost effective devices. In natural human hand, if we keep holding objects for long time, we get tired because of continuous use of energy for keeping the fingers in certain positions. Similarly, in prosthetic hands we also need to provide energy continuously to artificial muscles to hold the object for a certain period of time, which is certainly not energy efficient. In this work we, describe the design of the robotic hand and locking mechanism along with the experimental results on the performance of the locking mechanism.

  15. Sensor-Based Programming of Central Pattern Generators in Humanoid Robots

    Directory of Open Access Journals (Sweden)

    Hamed Shahbazi

    2013-04-01

    Full Text Available In the present article, a method for generating curvilinear bipedal walking patterns is proposed which is able to generate rhythmic and periodic trajectories for a Nao soccer player robot. To do so, a programmable central pattern generator was used which was inspired from locomotion structures in vertebrate animals. In this paper, the programmable central pattern generators were extended and new Equations were added to make a curvilinear pattern for walking Nao robots on a specified circular curve. In addition, some specific Equations were added to the model to control the arms and synchronize them with the movement of the feet. The model uses some sensory inputs to obtain some feedback from the movement and adjust it conforming to the potential perturbations. Input sensory values consist of accelerator values and foot pressure sensor values located on the bottom of each foot. Feedback values can adopt walking to some desired specifications and compensate the effects of some types of perturbations. The proposed model has many benefits including smooth walking patterns and modulation during walking. This model can be extended and used in the Nao soccer player both for the standard platform and the 3D soccer simulation leagues of Robocup SPL competitions to train different types of motions.

  16. Using a Gyro as a Tool for Continuously Variable Lateral Stabilisation of Dynamic Bipeds

    Directory of Open Access Journals (Sweden)

    N. M. Mayer

    2006-01-01

    Full Text Available We present simulations of different types of biped walking machines that are stabilized in the lateral direction by adding a gyro. The simulations show that, in principle, it is indeed possible to stabilise biped walking machines. Examples presented in this work include a three-dimensional version of the simplest walking model, which is based on earlier investigations, and an actuated biped robot. Here, the gyro is used as a reaction wheel. Finally, a rotor–brake combination is outlined that was used in an artistic biped robot at the Aichi World Exhibition.

  17. DARPA Robotics Challenge (DRC) Using Human-Machine Teamwork to Perform Disaster Response with a Humanoid Robot

    Science.gov (United States)

    2017-02-01

    Procedure chosen to improve the controller reliability . ................................. 53 Figure 50. The simulated Atlas robot walking over randomly...everyone to switch to an operating system that is unfamiliar would have cost too much time. To further facilitate the task of working in Linux , those...displayed to the user. TCP guarantees that all packets arrive at the destination, so we can assume that we have a 100% reliable link, simplifying

  18. Online Biped Walking Pattern Generation with Contact Consistency

    Directory of Open Access Journals (Sweden)

    Wenqi Hou

    2015-03-01

    Full Text Available In this paper, a novel online biped walking gait pattern generating method with contact consistency is proposed. Generally, it’s desirable that there is no foot-ground slipping during biped walking. By treating the hip of the biped robot as a linear inverted pendulum (LIP, a foot placement controller that takes the contact consistency into account is proposed to tracking the desired orbit energy. By selecting the hip’s horizontal locomotion as the parameter, the trajectories in task space for walking are planned. A task space controller without calculating the inversion of inertial matrix is presented. Simulation experiments are implemented on a virtual 5-link point foot biped robot. The results show the effectiveness of the walking pattern generating method which can realize a stable periodic gait cycle without slipping and falling even suffering a sudden disturbance.

  19. Effect of feedback from a socially interactive humanoid robot on reaching kinematics in children with and without cerebral palsy: A pilot study.

    Science.gov (United States)

    Chen, Yuping; Garcia-Vergara, Sergio; Howard, Ayanna M

    2017-08-17

    To examine whether children with or without cerebral palsy (CP) would follow a humanoid robot's (i.e., Darwin) feedback to move their arm faster when playing virtual reality (VR) games. Seven children with mild CP and 10 able-bodied children participated. Real-time reaching was evaluated by playing the Super Pop VR TM system, including 2-game baseline, 3-game acquisition, and another 2-game extinction. During acquisition, Darwin provided verbal feedback to direct the child to reach a kinematically defined target goal (i.e., 80% of average movement time in baseline). Outcome variables included the percentage of successful reaches ("% successful reaches"), movement time (MT), average speed, path, and number of movement units. All games during acquisition and extinction had larger "%successful reaches," faster speeds, and faster MTs than the 2 games during baseline (p VR games.

  20. Forward and Inverse Dynamics of the Biped PASIBOT

    Directory of Open Access Journals (Sweden)

    Eduardo Corral

    2014-07-01

    Full Text Available This article addresses the supporting foot slippage of the biped robot PASIBOT and develops its forward and inverse dynamics for simple and double support phases. To address the slippage phenomenon, we consider an additional degree of freedom at the supporting foot and also distinguish between static and kinetic friction conditions. The inverse and forward dynamics, accounting for support foot slippage, are encoded in MATLAB. The algorithm predicts the motion of the biped from the torque function given by the biped's sole motor. Thus, the algorithm becomes an indispensable tool for studying transient states of the biped (for example, the torques required for starting and braking, as well as defining the conditions that prevent or control slippage. Since the developed code is parametric, its output can greatly assist in the design, optimization and control of PASIBOT and similar biped robots. The topology, kinematics and inverse dynamics of the one-degree-of-freedom biped PASIBOT have been previously described, but without regard to slippage between the supporting foot and the ground.

  1. Balance maintenance in high-speed motion of humanoid robot arm-based on the 6D constraints of momentum change rate.

    Science.gov (United States)

    Zhang, Da-song; Xiong, Rong; Wu, Jun; Chu, Jian

    2014-01-01

    Based on the 6D constraints of momentum change rate (CMCR), this paper puts forward a real-time and full balance maintenance method for the humanoid robot during high-speed movement of its 7-DOF arm. First, the total momentum formula for the robot's two arms is given and the momentum change rate is defined by the time derivative of the total momentum. The author also illustrates the idea of full balance maintenance and analyzes the physical meaning of 6D CMCR and its fundamental relation to full balance maintenance. Moreover, discretization and optimization solution of CMCR has been provided with the motion constraint of the auxiliary arm's joint, and the solving algorithm is optimized. The simulation results have shown the validity and generality of the proposed method on the full balance maintenance in the 6 DOFs of the robot body under 6D CMCR. This method ensures 6D dynamics balance performance and increases abundant ZMP stability margin. The resulting motion of the auxiliary arm has large abundance in joint space, and the angular velocity and the angular acceleration of these joints lie within the predefined limits. The proposed algorithm also has good real-time performance.

  2. Exploring the Possibility of Using Humanoid Robots as Instructional Tools for Teaching a Second Language in Primary School

    Science.gov (United States)

    Chang, Chih-Wei; Lee, Jih-Hsien; Chao, Po-Yao; Wang, Chin-Yeh; Chen, Gwo-Dong

    2010-01-01

    As robot technologies develop, many researchers have tried to use robots to support education. Studies have shown that robots can help students develop problem-solving abilities and learn computer programming, mathematics, and science. However, few studies discuss the use of robots to facilitate the teaching of second languages. We discuss whether…

  3. Control de movimiento de un robot humanoide por medio de visión de máquina y réplica de movimientos humanos

    Directory of Open Access Journals (Sweden)

    Robinson Jiménez Moreno

    2013-07-01

    Full Text Available En este artículo se presenta el desarrollo e implementación de un sistema de captura de movimiento antropomórfico mediante técnicas de visión de máquina basado en el dispositivo Kinect, con el fin de realizar el control de movimiento imitativo de un agente robótico Bioloid en el Grupo de Aplicaciones Virtuales (GAV del Programa de Ingeniería en Mecatrónica de la Universidad Militar Nueva Granada (UMNG. Dados los múltiples grados de libertad de un brazo humano, se busca simplificar una interfaz de control que permita replicar los movimientos de este en un robot humanoide. En este artículo se presentan las técnicas usadas para mejorar el nivel de precisión de los datos entregados por el Kinect y los métodos personalizados de transmisión y codificación de las órdenes enviadas al robot. Los resultados obtenidos derivan en un sistema que cumple con las exigencias básicas de estabilidad, precisión y velocidad de repuesta en la imitación.

  4. Balance Maintenance in High-Speed Motion of Humanoid Robot Arm-Based on the 6D Constraints of Momentum Change Rate

    Directory of Open Access Journals (Sweden)

    Da-song Zhang

    2014-01-01

    Full Text Available Based on the 6D constraints of momentum change rate (CMCR, this paper puts forward a real-time and full balance maintenance method for the humanoid robot during high-speed movement of its 7-DOF arm. First, the total momentum formula for the robot’s two arms is given and the momentum change rate is defined by the time derivative of the total momentum. The author also illustrates the idea of full balance maintenance and analyzes the physical meaning of 6D CMCR and its fundamental relation to full balance maintenance. Moreover, discretization and optimization solution of CMCR has been provided with the motion constraint of the auxiliary arm’s joint, and the solving algorithm is optimized. The simulation results have shown the validity and generality of the proposed method on the full balance maintenance in the 6 DOFs of the robot body under 6D CMCR. This method ensures 6D dynamics balance performance and increases abundant ZMP stability margin. The resulting motion of the auxiliary arm has large abundance in joint space, and the angular velocity and the angular acceleration of these joints lie within the predefined limits. The proposed algorithm also has good real-time performance.

  5. Study on biped bike. Analysis and control of sagittal plane motion; Biped bike ni kansuru kenkyu. Yajomen undo no kaiseki to seigyo

    Energy Technology Data Exchange (ETDEWEB)

    Minakata, H. [Chiba Institute of Technology, Chiba (Japan); Hori, Y. [The University of Tokyo, Tokyo (Japan)

    1997-08-20

    We propose a biped locomotion system that its gait is changeable in real-time. Our targets are; artificial leg, slave machine, remote-brain home-robot, etc. Our dream is to develop new transportation tool that rider can control its gait. We call this imagination as `Biped Bike.` In this paper, we discuss the way of real-time gait control of biped locomotion. We propose Virtual Inverted Pendulum (VIP) Method for controlling the walking speed. This method considers the continuity of biped walking especially on transient status such as acceleration and deceleration. The actual biped system is made and real-time gait control is realized using VIP method. 8 refs., 14 figs., 1 tab.

  6. Design of a biped locomotion controller based on adaptive neuro-fuzzy inference systems

    Energy Technology Data Exchange (ETDEWEB)

    Shieh, M-Y; Chang, K-H [Department of E. E., Southern Taiwan University, 1 Nantai St., YungKang City, Tainan County 71005, Taiwan (China); Lia, Y-S [Executive Director Office, ITRI, Southern Taiwan Innovation Park, Tainan County, Taiwan (China)], E-mail: myshieh@mail.stut.edu.tw

    2008-02-15

    This paper proposes a method for the design of a biped locomotion controller based on the ANFIS (Adaptive Neuro-Fuzzy Inference System) inverse learning model. In the model developed here, an integrated ANFIS structure is trained to function as the system identifier for the modeling of the inverse dynamics of a biped robot. The parameters resulting from the modeling process are duplicated and integrated as those of the biped locomotion controller to provide favorable control action. As the simulation results show, the proposed controller is able to generate a stable walking cycle for a biped robot. Moreover, the experimental results demonstrate that the performance of the proposed controller is satisfactory under conditions when the robot stands in different postures or moves on a rugged surface.

  7. Design of a biped locomotion controller based on adaptive neuro-fuzzy inference systems

    Science.gov (United States)

    Shieh, M.-Y.; Chang, K.-H.; Lia, Y.-S.

    2008-02-01

    This paper proposes a method for the design of a biped locomotion controller based on the ANFIS (Adaptive Neuro-Fuzzy Inference System) inverse learning model. In the model developed here, an integrated ANFIS structure is trained to function as the system identifier for the modeling of the inverse dynamics of a biped robot. The parameters resulting from the modeling process are duplicated and integrated as those of the biped locomotion controller to provide favorable control action. As the simulation results show, the proposed controller is able to generate a stable walking cycle for a biped robot. Moreover, the experimental results demonstrate that the performance of the proposed controller is satisfactory under conditions when the robot stands in different postures or moves on a rugged surface.

  8. Multilevel Cognitive Machine-Learning-Based Concept for Artificial Awareness: Application to Humanoid Robot Awareness Using Visual Saliency

    Directory of Open Access Journals (Sweden)

    Kurosh Madani

    2012-01-01

    Full Text Available As part of “intelligence,” the “awareness” is the state or ability to perceive, feel, or be mindful of events, objects, or sensory patterns: in other words, to be conscious of the surrounding environment and its interactions. Inspired by early-ages human skills developments and especially by early-ages awareness maturation, the present paper accosts the robots intelligence from a different slant directing the attention to combining both “cognitive” and “perceptual” abilities. Within such a slant, the machine (robot shrewdness is constructed on the basis of a multilevel cognitive concept attempting to handle complex artificial behaviors. The intended complex behavior is the autonomous discovering of objects by robot exploring an unknown environment: in other words, proffering the robot autonomy and awareness in and about unknown backdrop.

  9. Dynamic Locomotion and Whole-Body Control for Compliant Humanoids

    OpenAIRE

    Hopkins, Michael Anthony

    2015-01-01

    With the ability to navigate natural and man-made environments and utilize standard human tools, humanoid robots have the potential to transform emergency response and disaster relief applications by serving as first responders in hazardous scenarios. Such applications will require major advances in humanoid control, enabling robots to traverse difficult, cluttered terrain with both speed and stability. To advance the state of the art, this dissertation presents a complete dynamic locomotion ...

  10. Emotion Walking for Humanoid Avatars Using Brain Signals

    Directory of Open Access Journals (Sweden)

    Ahmad Hoirul Basori

    2013-01-01

    Full Text Available Interaction between humans and humanoid avatar representations is very important in virtual reality and robotics, since the humanoid avatar can represent either a human or a robot in a virtual environment. Many researchers have focused on providing natural interactions for humanoid avatars or even for robots with the use of camera tracking, gloves, giving them the ability to speak, brain interfaces and other devices. This paper provides a new multimodal interaction control for avatars by combining brain signals, facial muscle tension recognition and glove tracking to change the facial expression of humanoid avatars according to the user's emotional condition. The signals from brain activity and muscle movements are used as the emotional stimulator, while the glove acts as emotion intensity control for the avatar. This multimodal interface can determine when the humanoid avatar needs to change their facial expression or their walking power. The results show that humanoid avatar have different timelines of walking and facial expressions when the user stimulates them with different emotions. This finding is believed to provide new knowledge on controlling robots' and humanoid avatars' facial expressions and walking.

  11. The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions.

    Science.gov (United States)

    Saygin, Ayse Pinar; Chaminade, Thierry; Ishiguro, Hiroshi; Driver, Jon; Frith, Chris

    2012-04-01

    Using functional magnetic resonance imaging (fMRI) repetition suppression, we explored the selectivity of the human action perception system (APS), which consists of temporal, parietal and frontal areas, for the appearance and/or motion of the perceived agent. Participants watched body movements of a human (biological appearance and movement), a robot (mechanical appearance and movement) or an android (biological appearance, mechanical movement). With the exception of extrastriate body area, which showed more suppression for human like appearance, the APS was not selective for appearance or motion per se. Instead, distinctive responses were found to the mismatch between appearance and motion: whereas suppression effects for the human and robot were similar to each other, they were stronger for the android, notably in bilateral anterior intraparietal sulcus, a key node in the APS. These results could reflect increased prediction error as the brain negotiates an agent that appears human, but does not move biologically, and help explain the 'uncanny valley' phenomenon.

  12. Humanoid environmental perception with Gaussian process regression

    Directory of Open Access Journals (Sweden)

    Dingsheng Luo

    2016-11-01

    Full Text Available Nowadays, humanoids are increasingly expected acting in the real world to complete some high-level tasks humanly and intelligently. However, this is a hard issue due to that the real world is always extremely complicated and full of miscellaneous variations. As a consequence, for a real-world-acting robot, precisely perceiving the environmental changes might be an essential premise. Unlike human being, humanoid robot usually turns out to be with much less sensors to get enough information from the real world, which further leads the environmental perception problem to be more challenging. Although it can be tackled by establishing direct sensory mappings or adopting probabilistic filtering methods, the nonlinearity and uncertainty caused by both the complexity of the environment and the high degree of freedom of the robots will result in tough modeling difficulties. In our study, with the Gaussian process regression framework, an alternative learning approach to address such a modeling problem is proposed and discussed. Meanwhile, to debase the influence derived from limited sensors, the idea of fusing multiple sensory information is also involved. To evaluate the effectiveness, with two representative environment changing tasks, that is, suffering unknown external pushing and suddenly encountering sloped terrains, the proposed approach is applied to a humanoid, which is only equipped with a three-axis gyroscope and a three-axis accelerometer. Experimental results reveal that the proposed Gaussian process regression-based approach is effective in coping with the nonlinearity and uncertainty of the humanoid environmental perception problem. Further, a humanoid balancing controller is developed, which takes the output of the Gaussian process regression-based environmental perception as the seed to activate the corresponding balancing strategy. Both simulated and hardware experiments consistently show that our approach is valuable and leads to a

  13. A reflexive neural network for dynamic biped walking control.

    Science.gov (United States)

    Geng, Tao; Porr, Bernd; Wörgötter, Florentin

    2006-05-01

    Biped walking remains a difficult problem, and robot models can greatly facilitate our understanding of the underlying biomechanical principles as well as their neuronal control. The goal of this study is to specifically demonstrate that stable biped walking can be achieved by combining the physical properties of the walking robot with a small, reflex-based neuronal network governed mainly by local sensor signals. Building on earlier work (Taga, 1995; Cruse, Kindermann, Schumm, Dean, & Schmitz, 1998), this study shows that human-like gaits emerge without specific position or trajectory control and that the walker is able to compensate small disturbances through its own dynamical properties. The reflexive controller used here has the following characteristics, which are different from earlier approaches: (1) Control is mainly local. Hence, it uses only two signals (anterior extreme angle and ground contact), which operate at the interjoint level. All other signals operate only at single joints. (2) Neither position control nor trajectory tracking control is used. Instead, the approximate nature of the local reflexes on each joint allows the robot mechanics itself (e.g., its passive dynamics) to contribute substantially to the overall gait trajectory computation. (3) The motor control scheme used in the local reflexes of our robot is more straightforward and has more biological plausibility than that of other robots, because the outputs of the motor neurons in our reflexive controller are directly driving the motors of the joints rather than working as references for position or velocity control. As a consequence, the neural controller and the robot mechanics are closely coupled as a neuromechanical system, and this study emphasizes that dynamically stable biped walking gaits emerge from the coupling between neural computation and physical computation. This is demonstrated by different walking experiments using a real robot as well as by a Poincaré map analysis

  14. Biped 4R2C six-bar mechanism with inner and outer feet

    Science.gov (United States)

    Liu, Chao; Wang, Hao; Yao, Yan-an

    2016-01-01

    Most current biped robots are equipped with two feet arranged in the right and left which inspired by the human body system. Different from the existing configurations, a novel biped robot with inner and outer feet based on a spatial six-bar 4R2C(R and C denote revolute and cylindric joints, respectively) mechanism is proposed. It can move along a line or a curve by three walking modes that are dwell adjustment mode, limit position adjustment mode and any position adjustment mode. Kinematic, gait planning and stability analyses are performed respectively, and a prototype is developed. Lastly, a potential application is considered and two manipulating modes(sphere and cylinder manipulating modes) are carried out. This interesting mechanism feathering its single closed-chain structure and unique work performance is expected to motivate the configuration creation of biped robots.

  15. Adaptive collaborative control of highly redundant robots

    Science.gov (United States)

    Handelman, David A.

    2008-04-01

    The agility and adaptability of biological systems are worthwhile goals for next-generation unmanned ground vehicles. Management of the requisite number of degrees of freedom, however, remains a challenge, as does the ability of an operator to transfer behavioral intent from human to robot. This paper reviews American Android research funded by NASA, DARPA, and the U.S. Army that attempts to address these issues. Limb coordination technology, an iterative form of inverse kinematics, provides a fundamental ability to control balance and posture independently in highly redundant systems. Goal positions and orientations of distal points of the robot skeleton, such as the hands and feet of a humanoid robot, become variable constraints, as does center-of-gravity position. Behaviors utilize these goals to synthesize full-body motion. Biped walking, crawling and grasping are illustrated, and behavior parameterization, layering and portability are discussed. Robotic skill acquisition enables a show-and-tell approach to behavior modification. Declarative rules built verbally by an operator in the field define nominal task plans, and neural networks trained with verbal, manual and visual signals provide additional behavior shaping. Anticipated benefits of the resultant adaptive collaborative controller for unmanned ground vehicles include increased robot autonomy, reduced operator workload and reduced operator training and skill requirements.

  16. ROBIL - Robot Israel

    Science.gov (United States)

    2013-07-31

    FA8655-12-1-2143 DARPA-BAA-12-39 – “DARPA Robotics Challenge” Project Name: ROBIL 23 6. Turning in either pentad or biped . Turning in pentad-state...C. S. Lin. Genetic algorithm for control design of biped locomotion. J. Robotic Systems, 14(5):365–373, 1997. 11. Flash T, Hogan N (1985) The... robots : A review, Neural Networks, 21(4):642-653, 2008. 14. Kajita S. Kanehiro F. Kaneko K. Fujwara K. Harada K. Yukoi K. and Hirukawa H, Biped

  17. DARPA Robotics Grand Challenge Participation and Ski-Type Gait for Rough-Terrain Walking

    Directory of Open Access Journals (Sweden)

    Hongfei Wang

    2015-03-01

    Full Text Available In this paper, we briefly introduce the history of the Defense Advanced Research Projects Agency (DARPA Grand Challenge programs with particular focus on the 2012 Robotics Challenge. As members of team DRC-HUBO, we propose different approaches for the Rough-Terrain task, such as enlarged foot pedals and a transformation into quadruped walking. We also introduce a new gait for humanoid robot locomotion to improve stability performance, called the Ski-Type gait. We analyze the stability performance of this gait and use the stability margin to choose between two candidate step sequences, Crawl-1 and Crawl-2. Next, we perform a force/torque analysis for the redundant closed-chain system in the Ski-Type gait, and determine the joint torques by minimizing the total energy consumption. Based on the stability and force/torque analysis, we design a cane length to support a feasible and stable Crawl-2 gait on the HUBO2 humanoid robot platform. Finally, we compare our experimental results with biped walking to validate the Ski-Type gait. We also present our team performance in the trials of the Robotics Challenge.

  18. A central pattern generator approach to footstep transition for biped navigation

    Directory of Open Access Journals (Sweden)

    Zeyang Xia

    2017-02-01

    Full Text Available Existing sampling-based footstep planning method for biped navigation used an intermediate static posture for footstep transition. However, when adopting this approach, the robot is sensitive to modeling error and external environments, and also the transition between different gait patterns is unnatural. This article presents a central pattern generator approach to footstep transition for biped navigation. First, this approach decomposes the biped walking motion into five motion types and designs central pattern generator network for all joints of legs accordingly. Then, the central pattern generator parameters are simplified and the relationship between these parameters and footstep transition is formulated. By modifying the central pattern generator parameters, different walking gaits can be obtained. With sensing feedbacks, self-adaption walking on irregular terrains, such as walking on unknown sloped terrains and flat floor with tiny obstacles, is realized. Experiments were conducted both in simulator and on a physical biped robot. Results have shown that the proposed approach is able to generate gesture transition trajectory for biped robot navigation and realize a self-adaption walking for irregular terrains.

  19. Arbitrary Symmetric Running Gait Generation for an Underactuated Biped Model.

    Directory of Open Access Journals (Sweden)

    Behnam Dadashzadeh

    Full Text Available This paper investigates generating symmetric trajectories for an underactuated biped during the stance phase of running. We use a point mass biped (PMB model for gait analysis that consists of a prismatic force actuator on a massless leg. The significance of this model is its ability to generate more general and versatile running gaits than the spring-loaded inverted pendulum (SLIP model, making it more suitable as a template for real robots. The algorithm plans the necessary leg actuator force to cause the robot center of mass to undergo arbitrary trajectories in stance with any arbitrary attack angle and velocity angle. The necessary actuator forces follow from the inverse kinematics and dynamics. Then these calculated forces become the control input to the dynamic model. We compare various center-of-mass trajectories, including a circular arc and polynomials of the degrees 2, 4 and 6. The cost of transport and maximum leg force are calculated for various attack angles and velocity angles. The results show that choosing the velocity angle as small as possible is beneficial, but the angle of attack has an optimum value. We also find a new result: there exist biped running gaits with double-hump ground reaction force profiles which result in less maximum leg force than single-hump profiles.

  20. Arbitrary Symmetric Running Gait Generation for an Underactuated Biped Model.

    Science.gov (United States)

    Dadashzadeh, Behnam; Esmaeili, Mohammad; Macnab, Chris

    2017-01-01

    This paper investigates generating symmetric trajectories for an underactuated biped during the stance phase of running. We use a point mass biped (PMB) model for gait analysis that consists of a prismatic force actuator on a massless leg. The significance of this model is its ability to generate more general and versatile running gaits than the spring-loaded inverted pendulum (SLIP) model, making it more suitable as a template for real robots. The algorithm plans the necessary leg actuator force to cause the robot center of mass to undergo arbitrary trajectories in stance with any arbitrary attack angle and velocity angle. The necessary actuator forces follow from the inverse kinematics and dynamics. Then these calculated forces become the control input to the dynamic model. We compare various center-of-mass trajectories, including a circular arc and polynomials of the degrees 2, 4 and 6. The cost of transport and maximum leg force are calculated for various attack angles and velocity angles. The results show that choosing the velocity angle as small as possible is beneficial, but the angle of attack has an optimum value. We also find a new result: there exist biped running gaits with double-hump ground reaction force profiles which result in less maximum leg force than single-hump profiles.

  1. HBS-1: A Modular Child-Size 3D Printed Humanoid

    Directory of Open Access Journals (Sweden)

    Lianjun Wu

    2016-01-01

    Full Text Available An affordable, highly articulated, child-size humanoid robot could potentially be used for various purposes, widening the design space of humanoids for further study. Several findings indicated that normal children and children with autism interact well with humanoids. This paper presents a child-sized humanoid robot (HBS-1 intended primarily for children’s education and rehabilitation. The design approach is based on the design for manufacturing (DFM and the design for assembly (DFA philosophies to realize the robot fully using additive manufacturing. Most parts of the robot are fabricated with acrylonitrile butadiene styrene (ABS using rapid prototyping technology. Servomotors and shape memory alloy actuators are used as actuating mechanisms. The mechanical design, analysis and characterization of the robot are presented in both theoretical and experimental frameworks.

  2. Mood contagion of robot body language in human robot interaction

    NARCIS (Netherlands)

    Xu, J.; Broekens, J.; Hindriks, K.; Neerincx, M.A.

    2015-01-01

    The aim of our work is to design bodily mood expressions of humanoid robots for interactive settings that can be recognized by users and have (positive) effects on people who interact with the robots. To this end, we develop a parameterized behavior model for humanoid robots to express mood through

  3. Expanding Frontiers of Humanoid Robotics

    National Research Council Canada - National Science Library

    Swinson, Mark L; Bruemmer, David J

    2000-01-01

    .... Planning, sensing, and acting must occur in concert and in context. That is, information processing must satisfy not only the constraints of logical correctness but also some assortment of crosscutting, physical constraints...

  4. Active Vision for Humanoid Robots

    NARCIS (Netherlands)

    Wang, X.

    2015-01-01

    Human perception is an active process. By altering its viewpoint rather than passively observing surroundings and by operating on sequences of images rather than on a single frame, the human visual system has the ability to explore the most relevant information based on knowledge, therefore when

  5. Self collision avoidance for humanoids using circular and elliptical capsule bounding volumes

    CSIR Research Space (South Africa)

    Dube, C

    2013-09-01

    Full Text Available This paper presents a self collision avoidance scheme for humanoid robots using elliptical and circular capsules as collision bounding volumes. A capsule is defined as an elliptical or circular cylinder capped with ellipsoids or spheres respectively...

  6. Model of the humanoid body for self collision detection based on elliptical capsules

    CSIR Research Space (South Africa)

    Dube, C

    2011-12-01

    Full Text Available This paper presents a self collision detection scheme for humanoid robots using elliptical and circular capsules as bounding volumes. A capsule is defined as an elliptical or circular cylinder capped with ellipsoids or spheres respectively...

  7. From Concept to Realization: Designing Miniature Humanoids for Running

    Directory of Open Access Journals (Sweden)

    Youngbum Jun

    2010-02-01

    Full Text Available Humanoid robots present exciting research possibilities such as human gaits, social interaction, and even creativity. Full-size humanoid designs have shown impressive capabilities, yet are custom-built and expensive. Cost and sophistication barriers make reproducing and verifying results very difficult. The recent proliferation of mini-humanoids presents an affordable alternative, in that smaller robots are cheaper to own and simpler to operate. At less than 2000 USD, these robots are capable of human-like motion, yet lack precision sensors and processing power. The authors' goal is to produce a miniature humanoid robot that is both small and affordable, while capable of advanced dynamic walking and running. This requires sensing of the robot's inertia and velocity, the forces on its feet, and the ability to generate and modify motion commands in real time. The presented design uses commercial parts and simple machining methods to minimize cost. A power-efficient mobile x86 computer on-board leverages existing operating systems and simplifies software development. Preliminary results demonstrate controlled walking and feedback control.

  8. Air Muscle Actuated Low Cost Humanoid Hand

    Directory of Open Access Journals (Sweden)

    Peter Scarfe

    2006-06-01

    Full Text Available The control of humanoid robot hands has historically been expensive due to the cost of precision actuators. This paper presents the design and implementation of a low-cost air muscle actuated humanoid hand developed at Curtin University of Technology. This hand offers 10 individually controllable degrees of freedom ranging from the elbow to the fingers, with overall control handled through a computer GUI. The hand is actuated through 20 McKibben-style air muscles, each supplied by a pneumatic pressure-balancing valve that allows for proportional control to be achieved with simple and inexpensive components. The hand was successfully able to perform a number of human-equivalent tasks, such as grasping and relocating objects.

  9. Air Muscle Actuated Low Cost Humanoid Hand

    Directory of Open Access Journals (Sweden)

    Peter Scarfe

    2008-11-01

    Full Text Available The control of humanoid robot hands has historically been expensive due to the cost of precision actuators. This paper presents the design and implementation of a low-cost air muscle actuated humanoid hand developed at Curtin University of Technology. This hand offers 10 individually controllable degrees of freedom ranging from the elbow to the fingers, with overall control handled through a computer GUI. The hand is actuated through 20 McKibben-style air muscles, each supplied by a pneumatic pressure-balancing valve that allows for proportional control to be achieved with simple and inexpensive components. The hand was successfully able to perform a number of human-equivalent tasks, such as grasping and relocating objects.

  10. An Experimental Study of Energy-Saving Shoes for Robot as Sagittal Plane Assistance

    Science.gov (United States)

    Minakata, Hideaki; Tadakuma, Susumu

    In this paper, we propose flexible shoe system to apply passive walking manner to ordinary humanoid biped. In this system, 2DOF (FF & FB) control scheme is used and realize walking with less ankle torque. Besides, this system is consisted as reference modification of position control system, so it can be applicable to most of walking robot even if its joint servo is black box. The effectiveness and characteristics of this system is confirmed by computer simulations and experimental result. The softness of shoe is very important parameter for energy consumption and walking stability. From the discussions of the system, it is said that sagittal plane assistance shoes reduce the energy loss due to the ankle joint friction. Finally, we confirmed the reduction of energy consumption on walking experiment, so we call this system as “energy saving shoes.”

  11. An asymptotic solution to a passive biped walker model

    Science.gov (United States)

    Yudaev, Sergey A.; Rachinskii, Dmitrii; Sobolev, Vladimir A.

    2017-02-01

    We consider a simple model of a passive dynamic biped robot walker with point feet and legs without knee. The model is a switched system, which includes an inverted double pendulum. Robot’s gait and its stability depend on parameters such as the slope of the ramp, the length of robot’s legs, and the mass distribution along the legs. We present an asymptotic solution of the model. The first correction to the zero order approximation is shown to agree with the numerical solution for a limited parameter range.

  12. Advanced mechanics in robotic systems

    CERN Document Server

    Nava Rodríguez, Nestor Eduardo

    2011-01-01

    Illustrates original and ambitious mechanical designs and techniques for the development of new robot prototypes Includes numerous figures, tables and flow charts Discusses relevant applications in robotics fields such as humanoid robots, robotic hands, mobile robots, parallel manipulators and human-centred robots

  13. Teen-Size Humanoid “FLoW” Complete Analytical Kinematics

    Directory of Open Access Journals (Sweden)

    Luky Yanto

    2018-01-01

    Full Text Available Humanoid research in Indonesia is quite a lot, but in reality only limited in kid-size proportional size, while for the Teen-Size is still rare. Research on the Teen-Size Humanoid robot requires more joints to be able to perform the movement compared to the size of Kid-Size, therefore required more complex modeling to determine the movement. With complete kinematics anlysis, the movement of the robot can be solved. With kinematic forward-invers, researchers can determine the movement of robots by controlling the motor parts that function as a joint on the robot. In this study, the modeling uses D-H parameter, because this modeling has been widely used, besides the calculation can be solved by computing. And then for the simulation can be done with V-REP software. Forward-invers kinematics can be implemented on the PID algorithm, in order to generate speed on the motor that can form an angle on the motor to make the movement. The result of this research is to obtain equation of matrix transformation from all body parts of robot. With the creation of this Humanoid Teen-Size robot, it is hoped that the research on Humanoid robot in Indonesia will be increasingly diverse and increasing, and can be used as a support and reference in the development of Humanoid Teen-Size next.

  14. A Study of Energy Saving Shoes for Walking Robot

    Science.gov (United States)

    Minakata, Hideaki; Tadakuma, Susumu

    In this paper, we propose flexible shoe system to apply passive walking manner to ordinary humanoid biped. In this system, 2DOF (FF & FB) control scheme is used and realize walking with less ankle torque. The effectiveness is confirmed by computer simulation and experimental result, so we call this system as “energy saving shoes".

  15. A survey report for the biped locomotion model under external force

    Energy Technology Data Exchange (ETDEWEB)

    Kato, Ichiro; Takanishi, Atsuo [Waseda Univ., Tokyo (Japan); Kume, Etsuo

    1993-10-01

    A mechanical design study of biped locomotion robots is being performed at JAERI within the scope of the Human Acts Simulation Program (HASP). The design study at JAERI is of an arbitrarily mobile robot for inspection of nuclear facilities. We have developed the simulation software which has capability of obtaining several types of stable motions for straight walking in terms of design tools. In addition, we are studying more complex walking patterns such as turning. However, in order to realize the robustness of walking, it is also necessary for the robot to have a capability of walking under external force as a disturbance which is caused by touching an object and so on. A survey has been performed for collecting useful information from already existing biped locomotion robots. This is a survey report for the biped locomotion model under external force: the WL-12RIII/IV designed and developed at Waseda University. This report includes the machine model, control system, control method and results of walking experiments. (author).

  16. A circuit-breaker use-case operated by a humanoid in aircraft manufacturing

    OpenAIRE

    Bolotnikova, Anastasia; Chappellet, Kévin; Paolillo, Antonio; Escande, Adrien; Anbarjafari, Gholamreza; Suarez-Roos, Adolfo; Rabaté, Patrice; Kheddar, Abderrahmane

    2017-01-01

    International audience; Automation of large-scale aircraft manufacturing with wheeled or embedded platforms requires costly changes of the manufacturing process and the environment. Humanoid robots could address this issue. We present a use-case of HRP-4 humanoid operating circuit-breakers. We show the feasibility of using visual feedback and force control in an integrated and unified multi-contact and multimodal task space quadratic programming (QP) whole-body control framework to enable HRP...

  17. On Humanoids, Avatars and the Rest of Us - gender and the designing of our new Others

    DEFF Research Database (Denmark)

    Søndergaard, Dorte Marie

    2017-01-01

    by robot companies; in the video games featuring avatars, which again intertwine the imaginaries and conceptualizations of humans and their humanoid designs; and in the imaginaries, ambitions and ideas in fiction, not least in science fiction, which for years has inspired robot designers. I will bring...

  18. Can a humanoid face be expressive? A psychophysiological investigation

    Directory of Open Access Journals (Sweden)

    Nicole eLazzeri

    2015-05-01

    Full Text Available Non-verbal signals expressed through body language play a crucial role in multi-modal human communication during social relations. Indeed, in all cultures facial expressions are the most universal and direct signs to express innate emotional cues. A human face conveys important information in social interactions and helps us to better understand our social partners and establish empathic links.Latest researches show that humanoid and social robots are becoming increasingly similar to humans, both aesthetically and expressively. However, their visual expressiveness is a crucial issue that must be improved to make these robots more realistic and intuitively perceivable by humans as not different from them.This study concerns the capability of a humanoid robot to exhibit emotion through facial expressions. More specifically, emotional signs performed by a humanoid robot have been compared with corresponding human facial expressions in terms of recognition rate and response time. The set of stimuli included standardized human expressions taken from an Ekman-based database and the same facial expressions performed by the robot. Furthermore, participants' psychophysiological responses have been explored to investigate whether there could be differences induced by interpreting robot or human emotional stimuli.Preliminary results show a trend to better recognize expressions performed by the robot than 2D photos or 3D models. Moreover no significant differences in the subjects' psychophysiological state have been found during the discrimination of facial expressions performed by the robot in comparison with the same task performed with 2D photos and 3D models.

  19. Humanoid Mobile Manipulation Using Controller Refinement

    Science.gov (United States)

    Platt, Robert; Burridge, Robert; Diftler, Myron; Graf, Jodi; Goza, Mike; Huber, Eric; Brock, Oliver

    2006-01-01

    An important class of mobile manipulation problems are move-to-grasp problems where a mobile robot must navigate to and pick up an object. One of the distinguishing features of this class of tasks is its coarse-to-fine structure. Near the beginning of the task, the robot can only sense the target object coarsely or indirectly and make gross motion toward the object. However, after the robot has located and approached the object, the robot must finely control its grasping contacts using precise visual and haptic feedback. This paper proposes that move-to-grasp problems are naturally solved by a sequence of controllers that iteratively refines what ultimately becomes the final solution. This paper introduces the notion of a refining sequence of controllers and characterizes this type of solution. The approach is demonstrated in a move-to-grasp task where Robonaut, the NASA/JSC dexterous humanoid, is mounted on a mobile base and navigates to and picks up a geological sample box. In a series of tests, it is shown that a refining sequence of controllers decreases variance in robot configuration relative to the sample box until a successful grasp has been achieved.

  20. A Control Framework for Anthropomorphic Biped Walking Based on Stabilizing Feedforward Trajectories.

    Science.gov (United States)

    Rezazadeh, Siavash; Gregg, Robert D

    2016-10-01

    Although dynamic walking methods have had notable successes in control of bipedal robots in the recent years, still most of the humanoid robots rely on quasi-static Zero Moment Point controllers. This work is an attempt to design a highly stable controller for dynamic walking of a human-like model which can be used both for control of humanoid robots and prosthetic legs. The method is based on using time-based trajectories that can induce a highly stable limit cycle to the bipedal robot. The time-based nature of the controller motivates its use to entrain a model of an amputee walking, which can potentially lead to a better coordination of the interaction between the prosthesis and the human. The simulations demonstrate the stability of the controller and its robustness against external perturbations.

  1. Advances in robot kinematics

    CERN Document Server

    Khatib, Oussama

    2014-01-01

    The topics addressed in this book cover the whole range of kinematic analysis, synthesis and design and consider robotic systems possessing serial, parallel and cable driven mechanisms. The robotic systems range from being less than fully mobile to kinematically redundant to overconstrained.  The fifty-six contributions report the latest results in robot kinematics with emphasis on emerging areas such as design and control of humanoids or humanoid subsystems. The book is of interest to researchers wanting to bring their knowledge up to date regarding modern topics in one of the basic disciplines in robotics, which relates to the essential property of robots, the motion of mechanisms.

  2. Minimum-Acceleration Trajectory Optimization for Humanoid Manipulator Based on Differential Evolution

    Directory of Open Access Journals (Sweden)

    Ren Ziwu

    2016-04-01

    Full Text Available A humanoid manipulator produces significantly reactive forces against a humanoid body when it operates in a rapid and continuous reaction environment (e.g., playing baseball, ping-pong etc.. This not only disturbs the balance and stability of the humanoid robot, but also influences its operation precision. To solve this problem, a novel approach, which is able to generate a minimum-acceleration and continuous acceleration trajectory for the humanoid manipulator, is presented in this paper. By this method, the whole trajectory of humanoid manipulation is divided into two processes, i.e., the operation process and the return process. Moreover, the target operation point is considered as a particular point that should be passed through. As such, the trajectory of each process is described through a quartic polynomial in the joint space, after which the trajectory planning problem for the humanoid manipulator can be formulated as a global constrained optimization problem. In order to alleviate the reactive force, a fitness function that aims to minimize the maximum acceleration of each joint of the manipulator is defined, while differential evolution is employed to determine the joint accelerations of the target operation point. Thus, a trajectory with a minimum-acceleration and continuous acceleration profile is obtained, which can reduce the effect on the body and be favourable for the balance and stability of the humanoid robot to a certain extent. Finally, a humanoid robot with a 7-DOF manipulator for ping-pong playing is employed as an example. Simulation experiment results show the effectiveness of this method for the trajectory planning problem being studied.

  3. Decoupled Closed-Form Solution for Humanoid Lower Limb Kinematics

    OpenAIRE

    Alejandro Said; Ernesto Rodriguez-Leal; Rogelio Soto; J. L. Gordillo; Leonardo Garrido

    2015-01-01

    This paper presents an explicit, omnidirectional, analytical, and decoupled closed-form solution for the lower limb kinematics of the humanoid robot NAO. The paper starts by decoupling the position and orientation analysis from the overall Denavit-Hartenberg (DH) transformation matrices. Here, the joint activation sequence for the DH matrices is based on the geometry of a triangle. Furthermore, the implementation of a forward and a reversed kinematic analysis for the support and swing phase e...

  4. The Paradigm of Utilizing Robots in the Teaching Process: A Comparative Study

    Science.gov (United States)

    Bacivarov, Ioan C.; Ilian, Virgil L. M.

    2012-01-01

    This paper discusses a comparative study of the effects of using a humanoid robot for introducing students to personal robotics. Even if a humanoid robot is one of the more complicated types of robots, comprehension was not an issue. The study highlighted the importance of using real hardware for teaching such complex subjects as opposed to…

  5. Humanoid Upper Torso Complexity for Displaying Gestures

    Directory of Open Access Journals (Sweden)

    Robert Richardson

    2012-05-01

    Full Text Available Body language is an important part of human-to-human communication; therefore body language in humanoid robots is very important for successful communication and social interaction with humans. The number of degrees of freedom (d.o.f necessary to achieve realistic body language in robots has been investigated. Using animation, three robots were simulated performing body language gestures; the complex model was given 25 d.o.f, the simplified model 18 d.o.f and the basic model 10 d.o.f. A subjective survey was created online using these animations, to obtain people's opinions on the realism of the gestures and to see if they could recognise the emotions portrayed. It was concluded that the basic system was the least realistic, complex system the most realistic, and the simplified system was only slightly less realistic than the human. Modular robotic joints were then fabricated so that the gestures could be implemented experimentally. The experimental results demonstrate that through simplification of the required degrees of freedom, the gestures can be experimentally reproduced.

  6. Humanoid Upper Torso Complexity for Displaying Gestures

    Directory of Open Access Journals (Sweden)

    Robert Richardson

    2008-11-01

    Full Text Available Body language is an important part of human-to-human communication; therefore body language in humanoid robots is very important for successful communication and social interaction with humans. The number of degrees of freedom (d.o.f necessary to achieve realistic body language in robots has been investigated. Using animation, three robots were simulated performing body language gestures; the complex model was given 25 d.o.f, the simplified model 18 d.o.f and the basic model 10 d.o.f. A subjective survey was created online using these animations, to obtain people's opinions on the realism of the gestures and to see if they could recognise the emotions portrayed. It was concluded that the basic system was the least realistic, complex system the most realistic, and the simplified system was only slightly less realistic than the human. Modular robotic joints were then fabricated so that the gestures could be implemented experimentally. The experimental results demonstrate that through simplification of the required degrees of freedom, the gestures can be experimentally reproduced.

  7. Confidence-Based Robot Policy Learning from Demonstration

    Science.gov (United States)

    2009-03-05

    Development of a small biped entertainment robot QRIO. In Micro- Nanomechatronics and Human Science, 2004, pages 23–28, 2004. [45] Odest Chadwicke Jenkins...adaptation of biped locomotion. Robotics and Autonomous Systems, 47:79–91, 2004. [60] Ulrich Nehmzow, Otar Akanyeti, Cristoph Weinrich, Theocharis...Confidence-Based Robot Policy Learning from Demonstration Sonia Chernova CMU-CS-09-105 March 5, 2009 School of Computer Science Computer Science

  8. Robot Mechanisms

    CERN Document Server

    Lenarcic, Jadran; Stanišić, Michael M

    2013-01-01

    This book provides a comprehensive introduction to the area of robot mechanisms, primarily considering industrial manipulators and humanoid arms. The book is intended for both teaching and self-study. Emphasis is given to the fundamentals of kinematic analysis and the design of robot mechanisms. The coverage of topics is untypical. The focus is on robot kinematics. The book creates a balance between theoretical and practical aspects in the development and application of robot mechanisms, and includes the latest achievements and trends in robot science and technology.

  9. Brain-machine interfacing control of whole-body humanoid motion

    Science.gov (United States)

    Bouyarmane, Karim; Vaillant, Joris; Sugimoto, Norikazu; Keith, François; Furukawa, Jun-ichiro; Morimoto, Jun

    2014-01-01

    We propose to tackle in this paper the problem of controlling whole-body humanoid robot behavior through non-invasive brain-machine interfacing (BMI), motivated by the perspective of mapping human motor control strategies to human-like mechanical avatar. Our solution is based on the adequate reduction of the controllable dimensionality of a high-DOF humanoid motion in line with the state-of-the-art possibilities of non-invasive BMI technologies, leaving the complement subspace part of the motion to be planned and executed by an autonomous humanoid whole-body motion planning and control framework. The results are shown in full physics-based simulation of a 36-degree-of-freedom humanoid motion controlled by a user through EEG-extracted brain signals generated with motor imagery task. PMID:25140134

  10. Reflexiones sobre alteridad y técnica: La figura del robot humanoide en algunas transposiciones de la literatura al cine

    Directory of Open Access Journals (Sweden)

    Raúl Cuadros Contreras

    2008-12-01

    Full Text Available La ciecia ficción lanza una mirada a las formas más extremas de otredad que se puedan imaginar. Esos otros seres y otros mundos le abren la puerta a nuevas ontologías y a la desnaturalización de categorías opuestas, tales como orgánico/inorgánico, natural/artificial. Resultan así nuevas formas de pensar la identidad y la definición de ser humano. En este artículo se explora este proceso analizando representaciones de la técnica y su mediación en las relaciones entre identidad y alteridad en algunas narraciones de este género. Para este fin, el autor toma como ejemplo el tratamiento que se le da a la figura del robot o del cyborg en películas recientes y muestra la humanización de éstos.

  11. Revisiting the stability of 2D passive biped walking: Local behavior

    Science.gov (United States)

    Norris, James A.; Marsh, Anthony P.; Granata, Kevin P.; Ross, Shane D.

    2008-12-01

    Models of biped walking have demonstrated that stable walking motions are possible without active control. Stability of these motions has typically been quantified by studying the stability of an associated Poincaré map (orbital stability). However, additional insight may be obtained by examining how perturbations evolve over the short-term (local stability). For example, there may be regions where small perturbations actually diverge from the unperturbed trajectory, even if over the entire cycle small (but perhaps not large) perturbations are dissipated. We present techniques to calculate local stability, and demonstrate the utility of these techniques by examining the local stability of the 2D compass biped. These techniques are relevant to the design of controllers to maintain stability in robots, and in understanding how the neuromuscular system maintains stability in humans.

  12. Optimization and Design of Experimental Bipedal Robot

    Czech Academy of Sciences Publication Activity Database

    Zezula, P.; Grepl, Robert

    -, A1 (2005), s. 293-300 ISSN 1210-2717. [Mechatronics, Robot ics and Biomechanics 2005. Třešť, 26.09.2005-29.09.2005] Institutional research plan: CEZ:AV0Z20760514 Keywords : walking machine * biped robot * computational modelling Subject RIV: JD - Computer Applications, Robot ics

  13. 1999 IEEE international conference on robotics and automation

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-07-01

    Topics covered in this conference include: biped robots; underwater vehicles; robot planning and programming for assembly; discrete event control of mobile robot maneuvering; navigation in unknown environment; biped robots; underwater vehicles; robot planning and programming for assembly; discrete event control of manufacturing systems; motion planning; robot control; actuator; teleoperation; force and position control; contact and grasping control; visual servo control; tactile sensing; mobile robots and applications; sensor-based navigation; underwater robotics; sensing, navigation and control; flexible manipulators; task scheduling; actuators and joint actuation; teleoperation; sensor-based teleoperation; contact geometry; sonar-based sensing; mobile robot-environment interaction; mobile robot motion planning; biology-inspired methods; service and underwater robots; manufacturing planning and scheduling; constraint and nonholonomic system; fault-tolerant robots; parallel manipulators; dexterous manipulation; computer vision in manufacturing; contact sensing; mobile robot field applications; flexible robots; fuzzy control; and more.

  14. Sensor-based control of a nine-link biped

    Energy Technology Data Exchange (ETDEWEB)

    Furusho, J.; Sano, A. (Gifu Univ. (Japan))

    1990-04-01

    The authors aimed to realize smooth 3D biped walking in a robot through control based on information obtained from various sensors. They employed a method to control walking by dividing it into motions in the sagittal plane and in the lateral plane. They treated motion in the lateral plane as a regulator problem with two equilibrium states. They also used relatively low gain feedback coefficients obtained from the optimal regulator theory. For motion in the sagittal plane, they put the body speed close to the smooth speed function given in advance by controlling the ankle torque. The effectiveness of the proposed control method was examined by computer simulation and proved by experiments with out BLR-G2 walking robot. The BLR-G2 is equipped with foot pressure and ankle torque sensors to provide information about the condition of contact with the floor. The sole and ankle driving actuators undergo force/torque feedback control based on the sensor information. These contributed toward realizing smooth walking with the sole firmly gripping the floor.

  15. New trends in medical and service robots human centered analysis, control and design

    CERN Document Server

    Chevallereau, Christine; Pisla, Doina; Bleuler, Hannes; Rodić, Aleksandar

    2016-01-01

    Medical and service robotics integrates several disciplines and technologies such as mechanisms, mechatronics, biomechanics, humanoid robotics, exoskeletons, and anthropomorphic hands. This book presents the most recent advances in medical and service robotics, with a stress on human aspects. It collects the selected peer-reviewed papers of the Fourth International Workshop on Medical and Service Robots, held in Nantes, France in 2015, covering topics on: exoskeletons, anthropomorphic hands, therapeutic robots and rehabilitation, cognitive robots, humanoid and service robots, assistive robots and elderly assistance, surgical robots, human-robot interfaces, BMI and BCI, haptic devices and design for medical and assistive robotics. This book offers a valuable addition to existing literature.

  16. Note: Reconfigurable pelvis mechanism for efficient multi-locomotion: Biped and quadruped walking

    Science.gov (United States)

    Yoon, Byungho; Kim, Soohyun

    2017-12-01

    A reconfigurable pelvis mechanism that can change its length for multi-locomotion robot is introduced. From the characteristics of animals that walk in a bipedal or quadrupedal manner, we found that the length of the pelvis for each type of locomotion is related to the efficiency and stability of walking. We demonstrated the effectiveness of this mechanism in biped and quadruped walking through comparison of accumulated power of consumption. We also examined the changes of the supporting polygon according to the length of the pelvis during quadruped walking in terms of stability.

  17. Gravity Compensation and Feedback of Ground Reaction Forces for Biped Balance Control.

    Science.gov (United States)

    Ito, Satoshi; Nishio, Shingo; Fukumoto, Yuuki; Matsushita, Kojiro; Sasaki, Minoru

    2017-01-01

    This paper considers the balance control of a biped robot under a constant external force or on a sloped ground. We have proposed a control method with feedback of the ground reaction forces and have realized adaptive posture changes that ensure the stability of the robot. However, fast responses have not been obtained because effective control is achieved by an integral feedback that accompanies a time delay necessary for error accumulation. To improve this response, here, we introduce gravity compensation in a feedforward manner. The stationary state and its stability are analyzed based on dynamic equations, and the robustness as well as the response is evaluated using computer simulations. Finally, the adaptive behaviors of the robot are confirmed by standing experiments on the slope.

  18. Gravity Compensation and Feedback of Ground Reaction Forces for Biped Balance Control

    Directory of Open Access Journals (Sweden)

    Satoshi Ito

    2017-01-01

    Full Text Available This paper considers the balance control of a biped robot under a constant external force or on a sloped ground. We have proposed a control method with feedback of the ground reaction forces and have realized adaptive posture changes that ensure the stability of the robot. However, fast responses have not been obtained because effective control is achieved by an integral feedback that accompanies a time delay necessary for error accumulation. To improve this response, here, we introduce gravity compensation in a feedforward manner. The stationary state and its stability are analyzed based on dynamic equations, and the robustness as well as the response is evaluated using computer simulations. Finally, the adaptive behaviors of the robot are confirmed by standing experiments on the slope.

  19. Emotion based human-robot interaction

    Directory of Open Access Journals (Sweden)

    Berns Karsten

    2018-01-01

    Full Text Available Human-machine interaction is a major challenge in the development of complex humanoid robots. In addition to verbal communication the use of non-verbal cues such as hand, arm and body gestures or mimics can improve the understanding of the intention of the robot. On the other hand, by perceiving such mechanisms of a human in a typical interaction scenario the humanoid robot can adapt its interaction skills in a better way. In this work, the perception system of two social robots, ROMAN and ROBIN of the RRLAB of the TU Kaiserslautern, is presented in the range of human-robot interaction.

  20. Drum-mate: interaction dynamics and gestures in human-humanoid drumming experiments

    Science.gov (United States)

    Kose-Bagci, Hatice; Dautenhahn, Kerstin; Syrdal, Dag S.; Nehaniv, Chrystopher L.

    2010-06-01

    This article investigates the role of interaction kinesics in human-robot interaction (HRI). We adopted a bottom-up, synthetic approach towards interactive competencies in robots using simple, minimal computational models underlying the robot's interaction dynamics. We present two empirical, exploratory studies investigating a drumming experience with a humanoid robot (KASPAR) and a human. In the first experiment, the turn-taking behaviour of the humanoid is deterministic and the non-verbal gestures of the robot accompany its drumming to assess the impact of non-verbal gestures on the interaction. The second experiment studies a computational framework that facilitates emergent turn-taking dynamics, whereby the particular dynamics of turn-taking emerge from the social interaction between the human and the humanoid. The results from the HRI experiments are presented and analysed qualitatively (in terms of the participants' subjective experiences) and quantitatively (concerning the drumming performance of the human-robot pair). The results point out a trade-off between the subjective evaluation of the drumming experience from the perspective of the participants and the objective evaluation of the drumming performance. A certain number of gestures was preferred as a motivational factor in the interaction. The participants preferred the models underlying the robot's turn-taking which enable the robot and human to interact more and provide turn-taking closer to 'natural' human-human conversations, despite differences in objective measures of drumming behaviour. The results are consistent with the temporal behaviour matching hypothesis previously proposed in the literature which concerns the effect that the participants adapt their own interaction dynamics to the robot's.

  1. A Novel Biped Pattern Generator Based on Extended ZMP and Extended Cart-Table Model

    Directory of Open Access Journals (Sweden)

    Guangbin Sun

    2015-07-01

    Full Text Available This paper focuses on planning patterns for biped walking on complex terrains. Two problems are solved: ZMP (zero moment point cannot be used on uneven terrain, and the conventional cart-table model does not allow vertical CM (centre of mass motion. For the ZMP definition problem, we propose the extended ZMP (EZMP concept as an extension of ZMP to uneven terrains. It can be used to judge dynamic balance on universal terrains. We achieve a deeper insight into the connection and difference between ZMP and EZMP by adding different constraints. For the model problem, we extend the cart-table model by using a dynamic constraint instead of constant height constraint, which results in a mathematically symmetric set of three equations. In this way, the vertical motion is enabled and the resultant equations are still linear. Based on the extended ZMP concept and extended cart-table model, a biped pattern generator using triple preview controllers is constructed and implemented simultaneously to three dimensions. Using the proposed pattern generator, the Atlas robot is simulated. The simulation results show the robot can walk stably on rather complex terrains by accurately tracking extended ZMP.

  2. Camera-laser fusion sensor system and environmental recognition for humanoids in disaster scenarios

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Inho [Institute for Human and Machine Cognition (IHMC), Florida (United States); Oh, Jaesung; Oh, Jun-Ho [Korea Advanced Institute of Science and Technology (KAIST), Daejeon (Korea, Republic of); Kim, Inhyeok [NAVER Green Factory, Seongnam (Korea, Republic of)

    2017-06-15

    This research aims to develop a vision sensor system and a recognition algorithm to enable a humanoid to operate autonomously in a disaster environment. In disaster response scenarios, humanoid robots that perform manipulation and locomotion tasks must identify the objects in the environment from those challenged by the call by the United States’ Defense Advanced Research Projects Agency, e.g., doors, valves, drills, debris, uneven terrains, and stairs, among others. In order for a humanoid to undertake a number of tasks, we con- struct a camera–laser fusion system and develop an environmental recognition algorithm. Laser distance sensor and motor are used to obtain 3D cloud data. We project the 3D cloud data onto a 2D image according to the intrinsic parameters of the camera and the distortion model of the lens. In this manner, our fusion sensor system performs functions such as those performed by the RGB-D sensor gener- ally used in segmentation research. Our recognition algorithm is based on super-pixel segmentation and random sampling. The proposed approach clusters the unorganized cloud data according to geometric characteristics, namely, proximity and co-planarity. To assess the feasibility of our system and algorithm, we utilize the humanoid robot, DRC-HUBO, and the results are demonstrated in the accompanying video.

  3. Camera-laser fusion sensor system and environmental recognition for humanoids in disaster scenarios

    International Nuclear Information System (INIS)

    Lee, Inho; Oh, Jaesung; Oh, Jun-Ho; Kim, Inhyeok

    2017-01-01

    This research aims to develop a vision sensor system and a recognition algorithm to enable a humanoid to operate autonomously in a disaster environment. In disaster response scenarios, humanoid robots that perform manipulation and locomotion tasks must identify the objects in the environment from those challenged by the call by the United States’ Defense Advanced Research Projects Agency, e.g., doors, valves, drills, debris, uneven terrains, and stairs, among others. In order for a humanoid to undertake a number of tasks, we con- struct a camera–laser fusion system and develop an environmental recognition algorithm. Laser distance sensor and motor are used to obtain 3D cloud data. We project the 3D cloud data onto a 2D image according to the intrinsic parameters of the camera and the distortion model of the lens. In this manner, our fusion sensor system performs functions such as those performed by the RGB-D sensor gener- ally used in segmentation research. Our recognition algorithm is based on super-pixel segmentation and random sampling. The proposed approach clusters the unorganized cloud data according to geometric characteristics, namely, proximity and co-planarity. To assess the feasibility of our system and algorithm, we utilize the humanoid robot, DRC-HUBO, and the results are demonstrated in the accompanying video.

  4. Robotics.

    Science.gov (United States)

    Waddell, Steve; Doty, Keith L.

    1999-01-01

    "Why Teach Robotics?" (Waddell) suggests that the United States lags behind Europe and Japan in use of robotics in industry and teaching. "Creating a Course in Mobile Robotics" (Doty) outlines course elements of the Intelligent Machines Design Lab. (SK)

  5. Tema 2: Ethel and her Telenoid: Toward using humanoids to alleviate symptoms of dementia

    Directory of Open Access Journals (Sweden)

    Jens Dinesen Strandbech

    2015-12-01

    Full Text Available This article elaborates on a longitudinal study investigating if conversations with the teleoperated humanoid robot Telenoid can alleviate symptoms of dementia. The article initially frames Telenoid in the field of social robotics and relevant dementia-initiatives before dwelling on the emerging relationship between Telenoid and a person with severe dementia. Here it is shown how persons with severe dementia can benefit greatly from interaction with Functionally Designed Anthropomorphic Robots such as Telenoid as a means of providing a temporary ‘conversational stepping stone’, working toward improving quality of life and regaining conversational and social confidence to seek and interact socially with others.

  6. Tema 2: Ethel and her Telenoid: Toward using humanoids to alleviate symptoms of dementia

    Directory of Open Access Journals (Sweden)

    Jens Dinesen Strandbech

    2016-01-01

    Full Text Available This article elaborates on a longitudinal study investigating if conversations with the teleoperated humanoid robot Telenoid can alleviate symptoms of dementia. The article initially frames Telenoid in the field of social robotics and relevant dementia-initiatives before dwelling on the emerging relationship between Telenoid and a person with severe dementia. Here it is shown how persons with severe dementia can benefit greatly from interaction with Functionally Designed Anthropomorphic Robots such as Telenoid as a means of providing a temporary ‘conversational stepping stone’, working toward improving quality of life and regaining conversational and social confidence to seek and interact socially with others.

  7. Bridging the gap between procedure definition and robot execution, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — As space missions grow longer and more complex, it will be useful for humanoid robots to take over routine and maintenance duties. Such robots will need to be able...

  8. Robot Teachers

    DEFF Research Database (Denmark)

    Nørgård, Rikke Toft; Ess, Charles Melvin; Bhroin, Niamh Ni

    The world's first robot teacher, Saya, was introduced to a classroom in Japan in 2009. Saya, had the appearance of a young female teacher. She could express six basic emotions, take the register and shout orders like 'be quiet' (The Guardian, 2009). Since 2009, humanoid robot technologies have...... developed. It is now suggested that robot teachers may become regular features in educational settings, and may even 'take over' from human teachers in ten to fifteen years (cf. Amundsen, 2017 online; Gohd, 2017 online). Designed to look and act like a particular kind of human; robot teachers mediate human...... existence and roles, while also aiming to support education through sophisticated, automated, human-like interaction. Our paper explores the design and existential implications of ARTIE, a robot teacher at Oxford Brookes University (2017, online). Drawing on an initial empirical exploration we propose...

  9. Fuzzy neural network approaches for robotic gait synthesis.

    Science.gov (United States)

    Juang, J G

    2000-01-01

    In this paper, a learning scheme using a fuzzy controller to generate walking gaits is developed. The learning scheme uses a fuzzy controller combined with a linearized inverse biped model. The controller provides the control signals at each control time instant. The algorithm used to train the controller is "backpropagation through time". The linearized inverse biped model provides the error signals for backpropagation through the controller at control time instants. Given prespecified constraints such as the step length, crossing clearance, and walking speed, the control scheme can generate the gait that satisfies these constraints. Simulation results are reported for a five-link biped robot.

  10. Brain Computer Interfaces for Enhanced Interaction with Mobile Robot Agents

    Science.gov (United States)

    2016-07-27

    omnidirectional base, and a Baxter dual- arm robotic manipulator . Brain-Computer Interfaces are promising technologies that can improve Human- Robot Interac... robotic arm through an automated grasping task using EEG BCI. On the left side is the robotic manipulator and three containers in the grasping scene... robot platforms used are the Willow Garage PR2 personal robot [21], a humanoid like robot with a mobile omnidirectional base, and a Baxter dual- arm

  11. Implementation of a Robot Hand Controlled with Android Software

    OpenAIRE

    TEZEL, Cengiz; GÜNAY, Ozan; Kayisli, Korhan

    2018-01-01

    Bionic robots intended to be used in the medical fieldare currently in the robotic sector, where many researches have been done.Bionic robot studies started with robot arm were developed as robot hands,robot legs and humanoid robots. In the medical sector, they were inspired byprosthetic arms, legs and hand products and took their place in roboticssystems. With the development of 3-D printer technology, these roboticexercises made at the medical field have gained speed. In this article, it is...

  12. Multi-layer robot skin with embedded sensors and muscles

    Science.gov (United States)

    Tomar, Ankit; Tadesse, Yonas

    2016-04-01

    Soft artificial skin with embedded sensors and actuators is proposed for a crosscutting study of cognitive science on a facial expressive humanoid platform. This paper focuses on artificial muscles suitable for humanoid robots and prosthetic devices for safe human-robot interactions. Novel composite artificial skin consisting of sensors and twisted polymer actuators is proposed. The artificial skin is conformable to intricate geometries and includes protective layers, sensor layers, and actuation layers. Fluidic channels are included in the elastomeric skin to inject fluids in order to control actuator response time. The skin can be used to develop facially expressive humanoid robots or other soft robots. The humanoid robot can be used by computer scientists and other behavioral science personnel to test various algorithms, and to understand and develop more perfect humanoid robots with facial expression capability. The small-scale humanoid robots can also assist ongoing therapeutic treatment research with autistic children. The multilayer skin can be used for many soft robots enabling them to detect both temperature and pressure, while actuating the entire structure.

  13. Treadmill walking of the pneumatic biped Lucy: Walking at different speeds and step-lengths

    Science.gov (United States)

    Vanderborght, B.; Verrelst, B.; Van Ham, R.; Van Damme, M.; Versluys, R.; Lefeber, D.

    2008-07-01

    Actuators with adaptable compliance are gaining interest in the field of legged robotics due to their capability to store motion energy and to exploit the natural dynamics of the system to reduce energy consumption while walking and running. To perform research on compliant actuators we have built the planar biped Lucy. The robot has six actuated joints, the ankle, knee and hip of both legs with each joint powered by two pleated pneumatic artificial muscles in an antagonistic setup. This makes it possible to control both the torque and the stiffness of the joint. Such compliant actuators are used in passive walkers to overcome friction when walking over level ground and to improve stability. Typically, this kind of robots is only designed to walk with a constant walking speed and step-length, determined by the mechanical design of the mechanism and the properties of the ground. In this paper, we show that by an appropriate control, the robot Lucy is able to walk at different speeds and step-lengths and that adding and releasing weights does not affect the stability of the robot. To perform these experiments, an automated treadmill was built

  14. Curiosity driven reinforcement learning for motion planning on humanoids

    Science.gov (United States)

    Frank, Mikhail; Leitner, Jürgen; Stollenga, Marijn; Förster, Alexander; Schmidhuber, Jürgen

    2014-01-01

    Most previous work on artificial curiosity (AC) and intrinsic motivation focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mechanical system with one or two degrees of freedom. To study AC in a more realistic setting, we embody a curious agent in the complex iCub humanoid robot. Our novel reinforcement learning (RL) framework consists of a state-of-the-art, low-level, reactive control layer, which controls the iCub while respecting constraints, and a high-level curious agent, which explores the iCub's state-action space through information gain maximization, learning a world model from experience, controlling the actual iCub hardware in real-time. To the best of our knowledge, this is the first ever embodied, curious agent for real-time motion planning on a humanoid. We demonstrate that it can learn compact Markov models to represent large regions of the iCub's configuration space, and that the iCub explores intelligently, showing interest in its physical constraints as well as in objects it finds in its environment. PMID:24432001

  15. Curiosity driven reinforcement learning for motion planning on humanoids.

    Science.gov (United States)

    Frank, Mikhail; Leitner, Jürgen; Stollenga, Marijn; Förster, Alexander; Schmidhuber, Jürgen

    2014-01-06

    Most previous work on artificial curiosity (AC) and intrinsic motivation focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mechanical system with one or two degrees of freedom. To study AC in a more realistic setting, we embody a curious agent in the complex iCub humanoid robot. Our novel reinforcement learning (RL) framework consists of a state-of-the-art, low-level, reactive control layer, which controls the iCub while respecting constraints, and a high-level curious agent, which explores the iCub's state-action space through information gain maximization, learning a world model from experience, controlling the actual iCub hardware in real-time. To the best of our knowledge, this is the first ever embodied, curious agent for real-time motion planning on a humanoid. We demonstrate that it can learn compact Markov models to represent large regions of the iCub's configuration space, and that the iCub explores intelligently, showing interest in its physical constraints as well as in objects it finds in its environment.

  16. Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids

    Directory of Open Access Journals (Sweden)

    Mikhail eFrank

    2014-01-01

    Full Text Available Most previous work on textit{artificial curiosity} and textit{intrinsic motivation} focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mechanical system with one or two degrees of freedom. To study artificial curiosity in a more realistic setting, we emph{embody} a curious agent in the complex iCub humanoid robot. Our novel reinforcement learning framework consists of a state-of-the-art, low-level, reactive control layer, which controls the iCub while respecting constraints, and a high-level curious agent, which explores the iCub's state-action space through information gain maximization, learning a world model from experience, controlling the actual iCub hardware in real-time. To the best of our knowledge, this is the first ever embodied, curious agent for real-time motion planning on a humanoid. We demonstrate that it can learn compact Markov models to represent large regions of the iCub's configuration space, and that the iCub explores textit{intelligently}, showing textit{interest} in its physical constraints as well as in objects it finds in its environment

  17. Human-Robot Interaction: A Survey

    Science.gov (United States)

    2007-01-01

    demonstration and adaptation of biped locomotion,” Robotics and Autonomous Systems, vol. 47, no. 2–3, pp. 79–91, 2004. 268 References [203] Y. Nakauchi...Human– Robot Interaction: A Survey Michael A. Goodrich1 and Alan C. Schultz2 1 Brigham Young University, Provo, UT 84602, USA, mike@cs.byu.edu 2 US...Naval Research Laboratory, Washington, DC 20375, USA, schultz@aic.nrl.navy.mil Abstract Human– Robot Interaction (HRI) has recently received considerable

  18. Generation of the Human Biped Stance by a Neural Controller Able to Compensate Neurological Time Delay

    Science.gov (United States)

    Jiang, Ping; Chiba, Ryosuke; Takakusaki, Kaoru; Ota, Jun

    2016-01-01

    The development of a physiologically plausible computational model of a neural controller that can realize a human-like biped stance is important for a large number of potential applications, such as assisting device development and designing robotic control systems. In this paper, we develop a computational model of a neural controller that can maintain a musculoskeletal model in a standing position, while incorporating a 120-ms neurological time delay. Unlike previous studies that have used an inverted pendulum model, a musculoskeletal model with seven joints and 70 muscular-tendon actuators is adopted to represent the human anatomy. Our proposed neural controller is composed of both feed-forward and feedback controls. The feed-forward control corresponds to the constant activation input necessary for the musculoskeletal model to maintain a standing posture. This compensates for gravity and regulates stiffness. The developed neural controller model can replicate two salient features of the human biped stance: (1) physiologically plausible muscle activations for quiet standing; and (2) selection of a low active stiffness for low energy consumption. PMID:27655271

  19. View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid.

    Science.gov (United States)

    Dawood, Farhan; Loo, Chu Kiong

    2016-01-01

    Mirror neurons are visuo-motor neurons found in primates and thought to be significant for imitation learning. The proposition that mirror neurons result from associative learning while the neonate observes his own actions has received noteworthy empirical support. Self-exploration is regarded as a procedure by which infants become perceptually observant to their own body and engage in a perceptual communication with themselves. We assume that crude sense of self is the prerequisite for social interaction. However, the contribution of mirror neurons in encoding the perspective from which the motor acts of others are seen have not been addressed in relation to humanoid robots. In this paper we present a computational model for development of mirror neuron system for humanoid based on the hypothesis that infants acquire MNS by sensorimotor associative learning through self-exploration capable of sustaining early imitation skills. The purpose of our proposed model is to take into account the view-dependency of neurons as a probable outcome of the associative connectivity between motor and visual information. In our experiment, a humanoid robot stands in front of a mirror (represented through self-image using camera) in order to obtain the associative relationship between his own motor generated actions and his own visual body-image. In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. Afterwards, the representation of the motor commands is learned to be associated with all possible visual perspectives. The complete architecture was evaluated by simulation experiments performed on DARwIn-OP humanoid robot.

  20. View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid

    Science.gov (United States)

    Dawood, Farhan; Loo, Chu Kiong

    2016-01-01

    Mirror neurons are visuo-motor neurons found in primates and thought to be significant for imitation learning. The proposition that mirror neurons result from associative learning while the neonate observes his own actions has received noteworthy empirical support. Self-exploration is regarded as a procedure by which infants become perceptually observant to their own body and engage in a perceptual communication with themselves. We assume that crude sense of self is the prerequisite for social interaction. However, the contribution of mirror neurons in encoding the perspective from which the motor acts of others are seen have not been addressed in relation to humanoid robots. In this paper we present a computational model for development of mirror neuron system for humanoid based on the hypothesis that infants acquire MNS by sensorimotor associative learning through self-exploration capable of sustaining early imitation skills. The purpose of our proposed model is to take into account the view-dependency of neurons as a probable outcome of the associative connectivity between motor and visual information. In our experiment, a humanoid robot stands in front of a mirror (represented through self-image using camera) in order to obtain the associative relationship between his own motor generated actions and his own visual body-image. In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. Afterwards, the representation of the motor commands is learned to be associated with all possible visual perspectives. The complete architecture was evaluated by simulation experiments performed on DARwIn-OP humanoid robot. PMID:26998923

  1. View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid.

    Directory of Open Access Journals (Sweden)

    Farhan Dawood

    Full Text Available Mirror neurons are visuo-motor neurons found in primates and thought to be significant for imitation learning. The proposition that mirror neurons result from associative learning while the neonate observes his own actions has received noteworthy empirical support. Self-exploration is regarded as a procedure by which infants become perceptually observant to their own body and engage in a perceptual communication with themselves. We assume that crude sense of self is the prerequisite for social interaction. However, the contribution of mirror neurons in encoding the perspective from which the motor acts of others are seen have not been addressed in relation to humanoid robots. In this paper we present a computational model for development of mirror neuron system for humanoid based on the hypothesis that infants acquire MNS by sensorimotor associative learning through self-exploration capable of sustaining early imitation skills. The purpose of our proposed model is to take into account the view-dependency of neurons as a probable outcome of the associative connectivity between motor and visual information. In our experiment, a humanoid robot stands in front of a mirror (represented through self-image using camera in order to obtain the associative relationship between his own motor generated actions and his own visual body-image. In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. Afterwards, the representation of the motor commands is learned to be associated with all possible visual perspectives. The complete architecture was evaluated by simulation experiments performed on DARwIn-OP humanoid robot.

  2. Decoupled Closed-Form Solution for Humanoid Lower Limb Kinematics

    Directory of Open Access Journals (Sweden)

    Alejandro Said

    2015-01-01

    Full Text Available This paper presents an explicit, omnidirectional, analytical, and decoupled closed-form solution for the lower limb kinematics of the humanoid robot NAO. The paper starts by decoupling the position and orientation analysis from the overall Denavit-Hartenberg (DH transformation matrices. Here, the joint activation sequence for the DH matrices is based on the geometry of a triangle. Furthermore, the implementation of a forward and a reversed kinematic analysis for the support and swing phase equations is developed to avoid matrix inversion. The allocation of constant transformations allows the position and orientation end-coordinate systems to be aligned with each other. Also, the redefinition of the DH transformations and the use of constraints allow decoupling the shared DOF between the legs and the torso. Finally, a geometric approach to avoid the singularities during the walking process is indicated. Numerical data is presented along with an experimental implementation to prove the validity of the analytical results.

  3. Robot

    OpenAIRE

    Flek, O.

    2015-01-01

    The objective of this paper is to design and produce a robot based on a four wheel chassis equipped with a robotic arm capable of manipulating small objects. The robot should be able to operate in an autonomous mode controlled by a microcontroller and in a mode controlled wirelessly by an operator in real time. Precision and accuracy of the robotic arm should be sufficient for the collection of small objects, such as syringes and needles. The entire robot should be easy to operate user-friend...

  4. Robotics

    International Nuclear Information System (INIS)

    Scheide, A.W.

    1983-01-01

    This article reviews some of the technical areas and history associated with robotics, provides information relative to the formation of a Robotics Industry Committee within the Industry Applications Society (IAS), and describes how all activities relating to robotics will be coordinated within the IEEE. Industrial robots are being used for material handling, processes such as coating and arc welding, and some mechanical and electronics assembly. An industrial robot is defined as a programmable, multifunctional manipulator designed to move material, parts, tools, or specialized devices through variable programmed motions for a variety of tasks. The initial focus of the Robotics Industry Committee will be on the application of robotics systems to the various industries that are represented within the IAS

  5. Latest Advances in Robot Kinematics

    CERN Document Server

    Husty, Manfred

    2012-01-01

    This book is  of interest to researchers inquiring about modern topics and methods in the kinematics, control and design of robotic manipulators. It considers the full range of robotic systems, including serial, parallel and cable driven manipulators, both planar and spatial. The systems range from being less than fully mobile to kinematically redundant to overconstrained. In addition to recognized areas, this book also presents recent advances in emerging areas such as the design and control of humanoids and humanoid subsystems, and the analysis, modeling and simulation of human body motions, as well as the mobility analysis of protein molecules and the development of machines which incorporate man.

  6. Autonomous military robotics

    CERN Document Server

    Nath, Vishnu

    2014-01-01

    This SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers. Militaries around the world are investigating this technology to simplify the time, cost and safety measures necessary for training human snipers. These robots are developed by combining crucial aspects of computer science research areas including image processing, robotic kinematics and learning algorithms. The authors explain how a new humanoid robot, the iCub, uses high-speed cameras and computer vision algorithms to track the objec

  7. Working and Learning with Knowledge in the Lobes of a Humanoid's Mind

    Science.gov (United States)

    Ambrose, Robert; Savely, Robert; Bluethmann, William; Kortenkamp, David

    2003-01-01

    Humanoid class robots must have sufficient dexterity to assist people and work in an environment designed for human comfort and productivity. This dexterity, in particular the ability to use tools, requires a cognitive understanding of self and the world that exceeds contemporary robotics. Our hypothesis is that the sense-think-act paradigm that has proven so successful for autonomous robots is missing one or more key elements that will be needed for humanoids to meet their full potential as autonomous human assistants. This key ingredient is knowledge. The presented work includes experiments conducted on the Robonaut system, a NASA and the Defense Advanced research Projects Agency (DARPA) joint project, and includes collaborative efforts with a DARPA Mobile Autonomous Robot Software technical program team of researchers at NASA, MIT, USC, NRL, UMass and Vanderbilt. The paper reports on results in the areas of human-robot interaction (human tracking, gesture recognition, natural language, supervised control), perception (stereo vision, object identification, object pose estimation), autonomous grasping (tactile sensing, grasp reflex, grasp stability) and learning (human instruction, task level sequences, and sensorimotor association).

  8. Analysis of flat terrain for the Atlas robot

    NARCIS (Netherlands)

    de Waard, M.; Inja, M.; Visser, A.; Mousakhani, M.; Ataei, M.; Jamzad, M.

    2013-01-01

    This paper gives a description of an approach to analyze the sensor information of the surroundings to select places where the foot of a humanoid can be placed. This will allow apply such robot in a rescue scenario, as foreseen in the DARPA Robotics Challenge, where a robot is forced to traverse

  9. Fifteen observations on the structure of energy-minimizing gaits in many simple biped models.

    Science.gov (United States)

    Srinivasan, Manoj

    2011-01-06

    A popular hypothesis regarding legged locomotion is that humans and other large animals walk and run in a manner that minimizes the metabolic energy expenditure for locomotion. Here, using numerical optimization and supporting analytical arguments, I obtain the energy-minimizing gaits of many different simple biped models. I consider bipeds with point-mass bodies and massless legs, with or without a knee, with or without a springy tendon in series with the leg muscle and minimizing one of many different 'metabolic cost' models-correlated with muscle work, muscle force raised to some power, the Minetti-Alexander quasi-steady approximation to empirical muscle metabolic rate (from heat and ATPase activity), a new cost function called the 'generalized work cost' C(g) having some positivity and convexity properties (and includes the Minetti-Alexander cost and the work cost as special cases), and generalizations thereof. For many of these models, walking-like gaits are optimal at low speeds and running-like gaits at higher speeds, so a gait transition is optimal. Minimizing the generalized work cost C(g) appears mostly indistinguishable from minimizing muscle work for all the models. Inverted pendulum walking and impulsive running gaits minimize the work cost, generalized work costs C(g) and a few other costs for the springless bipeds; in particular, a knee-torque-squared cost, appropriate as a simplified model for electric motor power for a kneed robot biped. Many optimal gaits had symmetry properties; for instance, the left stance phase was identical to the right stance phases. Muscle force-velocity relations and legs with masses have predictable qualitative effects, if any, on the optima. For bipeds with compliant tendons, the muscle work-minimizing strategies have close to zero muscle work (isometric muscles), with the springs performing all the leg work. These zero work gaits also minimize the generalized work costs C(g) with substantial additive force or force rate

  10. Design and development an insect-inspired humanoid gripper that is structurally sound, yet very flexible

    International Nuclear Information System (INIS)

    Hajjaj, S; Pun, N

    2013-01-01

    One of the biggest challenges in mechanical robotics design is the balance between structural integrity and flexibility. An industrial robotic gripper could be technically advanced, however it contains only 1 Degree of Freedom (DOF). If one is to add more DOFs the design would become complex. On the other hand, the human wrist and fingers contain 23 DOFs, and is very lightweight and highly flexible. Robotics are becoming more and more part of our social life, they are more and more being incorporated in social, medical, and personal application. Therefore, for such robots to be effective, they need to mimic human performance, both in performance as well as in mechanical design. In this work, a Humanoid Gripper is designed and built to mimic a simplified version of a human wrist and fingers. This is attempted by mimicking insect and human designs of grippes. The main challenge was to insure that the gripper is structurally sound, but at the same time flexible and lightweight. A combination of light weight material and a unique design of finger actuators were applied. The gripper is controlled by a PARALLAX servo controller 28823 (PSCI), which mounted on the assembly itself. At the end, a 6 DOF humanoid gripper made of lightweight material, similar in size to the human arm, and is able to carry a weight of 1 Kg has been designed and built.

  11. Distributed mechatronics controller for modular wall climbing robot

    CSIR Research Space (South Africa)

    Tlale, NS

    2006-07-01

    Full Text Available the fourth motor and the suction cup up and down during locomotion. The fourth motor and the suction cup are attached on the same housing. Purpose of this fourth motor is also to move the suction cup up and down during the locomotion of the robot.... The third and the fourth motors act together to achieve a smooth contact surface between the suction cup and the surface that is being moved upon. In order to assemble wall-climbing robot that consists of any number of biped modules, each biped module...

  12. Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style-phase adaptation.

    Science.gov (United States)

    Matsubara, Takamitsu; Uchikata, Akimasa; Morimoto, Jun

    2015-12-01

    In this paper, we propose a framework for generating coordinated periodic movements of robotic systems with multiple external inputs. We developed an adaptive pattern generator model that is composed of a two-factor observation model with a style parameter and phase dynamics with a phase variable. The style parameter controls the spatial patterns of the generated trajectories, and the phase variable manages its temporal profiles. By exploiting the style-phase separation in the pattern generation, we can independently design adaptation schemes for the spatial and temporal profiles of the pattern generator to multiple external inputs. To validate the effectiveness of our proposed method, we applied it to a user-exoskeleton model to achieve user-adaptive walking assistance for which the exoskeleton robot's movements need to be coordinated with the user walking patterns and environment. As a result, the exoskeleton robot successfully performed stable biped walking behaviors for walking assistance even when the style of the observed walking pattern and the period were suddenly changed.

  13. Primate Anatomy, Kinematics, and Principles for Humanoid Design

    Science.gov (United States)

    Ambrose, Robert O.; Ambrose, Catherine G.

    2004-01-01

    The primate order of animals is investigated for clues in the design of Humanoid Robots. The pursuit is directed with a theory that kinematics, musculature, perception, and cognition can be optimized for specific tasks by varying the proportions of limbs, and in particular, the points of branching in kinematic trees such as the primate skeleton. Called the Bifurcated Chain Hypothesis, the theory is that the branching proportions found in humans may be superior to other animals and primates for the tasks of dexterous manipulation and other human specialties. The primate taxa are defined, contemporary primate evolution hypotheses are critiqued, and variations within the order are noted. The kinematic branching points of the torso, limbs and fingers are studied for differences in proportions across the order, and associated with family and genus capabilities and behaviors. The human configuration of a long waist, long neck, and short arms is graded using a kinematic workspace analysis and a set of design axioms for mobile manipulation robots. It scores well. The re emergence of the human waist, seen in early Prosimians and Monkeys for arboreal balance, but lost in the terrestrial Pongidae, is postulated as benefiting human dexterity. The human combination of an articulated waist and neck will be shown to enable the use of smaller arms, achieving greater regions of workspace dexterity than the larger limbs of Gorillas and other Hominoidea.

  14. Monocular Depth Perception and Robotic Grasping of Novel Objects

    Science.gov (United States)

    2009-06-01

    biped walking, snake robot locomotion, etc.) have relied on model-based RL [59], in which an accurate model or simulator of the MDP is first built.2...MONOCULAR DEPTH PERCEPTION AND ROBOTIC GRASPING OF NOVEL OBJECTS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGINEERING AND THE...JUN 2009 2. REPORT TYPE 3. DATES COVERED 00-00-2009 to 00-00-2009 4. TITLE AND SUBTITLE Monocular Depth Perception and Robotic Grasping of

  15. YARP: Yet Another Robot Platform

    Directory of Open Access Journals (Sweden)

    Lorenzo Natale

    2008-11-01

    Full Text Available We describe YARP, Yet Another Robot Platform, an open-source project that encapsulates lessons from our experience in building humanoid robots. The goal of YARP is to minimize the effort devoted to infrastructure-level software development by facilitating code reuse, modularity and so maximize research-level development and collaboration. Humanoid robotics is a "bleeding edge" field of research, with constant flux in sensors, actuators, and processors. Code reuse and maintenance is therefore a significant challenge. We describe the main problems we faced and the solutions we adopted. In short, the main features of YARP include support for inter-process communication, image processing as well as a class hierarchy to ease code reuse across different hardware platforms. YARP is currently used and tested on Windows, Linux and QNX6 which are common operating systems used in robotics.

  16. Motion and operation planning of robotic systems background and practical approaches

    CERN Document Server

    Gomez-Barvo, Fernando

    2015-01-01

    This book addresses the broad multi-disciplinary topic of robotics, and presents the basic techniques for motion and operation planning in robotics systems. Gathering contributions from experts in diverse and wide ranging fields, it offers an overview of the most recent and cutting-edge practical applications of these methodologies. It covers both theoretical and practical approaches, and elucidates the transition from theory to implementation. An extensive analysis is provided, including humanoids, manipulators, aerial robots and ground mobile robots. ‘Motion and Operation Planning of Robotic Systems’ addresses the following topics: *The theoretical background of robotics. *Application of motion planning techniques to manipulators, such as serial and parallel manipulators. *Mobile robots planning, including robotic applications related to aerial robots, large scale robots and traditional wheeled robots. *Motion planning for humanoid robots. An invaluable reference text for graduate students and researche...

  17. Multibody system dynamics, robotics and control

    CERN Document Server

    Gerstmayr, Johannes

    2013-01-01

    The volume contains 19 contributions by international experts in the field of multibody system dynamics, robotics and control. The book aims to bridge the gap between the modeling of mechanical systems by means of multibody dynamics formulations and robotics. In the classical approach, a multibody dynamics model contains a very high level of detail, however, the application of such models to robotics or control is usually limited. The papers aim to connect the different scientific communities in multibody dynamics, robotics and control. Main topics are flexible multibody systems, humanoid robots, elastic robots, nonlinear control, optimal path planning, and identification.

  18. JPRS Report, Science & Technology, Japan, 4th Intelligent Robots Symposium, Volume 2

    Science.gov (United States)

    1989-03-16

    Containing Skid a.2 System causing overturn A biped mobile robot needs equilibrium control to prevent it from overturning due to external disturbances...8217 « II I, I » 111 I» Uli —’■» !’■’ Science & Technology Japan 19980530 091 ATH INTELLIGENT ROBOTS ...SCIENCE & TECHNOLOGY JAPAN 4th INTELLIGENT ROBOTS SYMPOSIUM VOLUME II 43064062 Tokyo 4TH INTELLIGENT ROBOTS SYMPOSIUM PAPERS in Japanese 13-14 Jun

  19. Gait Selection and Transition of Passivity-Based Bipeds with Adaptable Ankle Stiffness

    Directory of Open Access Journals (Sweden)

    Yan Huang

    2012-10-01

    Full Text Available Stable bipedal walking is one of the most important components of humanoid robot design, which can help us better understand natural human walking. In this paper, to study gait selection and gait transition of efficient bipedal walking, we proposed a dynamic bipedal walking model with an upper body, flat feet and compliant joints. The model can achieve stable cyclic motion with different walking gaits. The hip actuation and ankle stiffness behavior of the model are quite similar to those of human normal walking. In simulation, we studied the influence of hip actuation and ankle stiffness on walking performance of each gait. The effects of ankle stiffness on gait selection are also analyzed. Gait transition is realized by adjusting ankle stiffness during walking.

  20. Stretch reflex improves rolling stability during hopping of a decerebrate biped system.

    Science.gov (United States)

    Rosendo, Andre; Liu, Xiangxiao; Shimizu, Masahiro; Hosoda, Koh

    2015-01-19

    When humans hop, attitude recovery can be observed in both the sagittal and frontal planes. While it is agreed that the brain plays an important role in leg placement, the role of low-level feedback (the stretch reflex) on frontal plane stabilization remains unclear. Seeking to better understand the contribution of the soleus stretch reflex to rolling stability, we performed experiments on a biomimetic humanoid hopping robot. Various reflex responses to touching the floor, ranging from no response to long muscle activations, were examined, and the effect of a delay upon touching the floor was also examined. We found that the stretch reflex brought the system closer to stable, straight hopping. The presence of a delay did not affect the results; both the cases with and without a delay outperformed the case without a reflex response. The results of this study highlight the importance of low-level control in locomotion for which body stabilization does not require higher-level signals.

  1. Robotics

    Indian Academy of Sciences (India)

    computed torque method or feedback linearization. Hence, the resultant system is linear and for this the controller is easier to design. Software. Software, in addition to acting as a binding thread for the various robot subsystems, plays an important role in control. Physical devices like amplifiers, integrators, differentiators, etc.

  2. Approaching human performance the functionality-driven Awiwi robot hand

    CERN Document Server

    Grebenstein, Markus

    2014-01-01

    Humanoid robotics have made remarkable progress since the dawn of robotics. So why don't we have humanoid robot assistants in day-to-day life yet? This book analyzes the keys to building a successful humanoid robot for field robotics, where collisions become an unavoidable part of the game. The author argues that the design goal should be real anthropomorphism, as opposed to mere human-like appearance. He deduces three major characteristics to aim for when designing a humanoid robot, particularly robot hands: _ Robustness against impacts _ Fast dynamics _ Human-like grasping and manipulation performance   Instead of blindly copying human anatomy, this book opts for a holistic design me-tho-do-lo-gy. It analyzes human hands and existing robot hands to elucidate the important functionalities that are the building blocks toward these necessary characteristics.They are the keys to designing an anthropomorphic robot hand, as illustrated in the high performance anthropomorphic Awiwi Hand presented in this book.  ...

  3. Design of biped hip simulator using SolidWorks

    Science.gov (United States)

    Zainudin, M. R.; Yahya, A.; Fazli, M. I. M.; Syahrom, A.; Harun, F. K. C.; Nazarudin, M. S.

    2017-10-01

    The increasing number of people who underwent both hip implant surgery based on World Health Organization (WHO) has received massive attention from researchers lately to develop various types of hip simulators in order to test the hip implant. Various number of hip simulator have been developed with different functions and capabilities. This paper presents the design development of biped hip simulator using SolidWorks software by taking into consideration some improvement and modifications. The finite element method is used to test the design whether it is safe to be used or not. The biped hip simulator has been successfully designed and ready to be fabricated as the endurance testing shown a positive results. The von Mises stress induced in the material is an alloy steel which is 2,975,862.3 N/m2 lower than the yield strength. Thus, the design is safe to be used as it obey the safety criterion.

  4. Robots de servicio

    Directory of Open Access Journals (Sweden)

    Rafael Aracil

    2008-04-01

    Full Text Available Resumen: El término Robots de Servicio apareció a finales de los años 80 como una necesidad de desarrollar máquinas y sistemas capaces de trabajar en entornos diferentes a los fabriles. Los Robots de Servicio tenían que poder trabajar en entornos noestructurados, en condiciones ambientales cambiantes y con una estrecha interacción con los humanos. En 1995 fue creado por la IEEE Robotics and Automation Society, el Technical Committee on Service Robots, y este comité definió en el año 2000 las áreas de aplicación de los Robots de Servicios, que se pueden dividir en dos grandes grupos: 1 sectores productivos no manufactureros tales como edificación, agricultura, naval, minería, medicina, etc. y 2 sectores de servicios propiamente dichos: asistencia personal, limpieza, vigilancia, educación, entretenimiento, etc. En este trabajo se hace una breve revisión de los principales conceptos y aplicaciones de los robots de servicio. Palabras clave: Robots de servicio, robots autónomos, robots de exteriores, robots de educación y entretenimiento, robots caminantes y escaladores, robots humanoides

  5. A neural framework for organization and flexible utilization of episodic memory in cumulatively learning baby humanoids.

    Science.gov (United States)

    Mohan, Vishwanathan; Sandini, Giulio; Morasso, Pietro

    2014-12-01

    Cumulatively developing robots offer a unique opportunity to reenact the constant interplay between neural mechanisms related to learning, memory, prospection, and abstraction from the perspective of an integrated system that acts, learns, remembers, reasons, and makes mistakes. Situated within such interplay lie some of the computationally elusive and fundamental aspects of cognitive behavior: the ability to recall and flexibly exploit diverse experiences of one's past in the context of the present to realize goals, simulate the future, and keep learning further. This article is an adventurous exploration in this direction using a simple engaging scenario of how the humanoid iCub learns to construct the tallest possible stack given an arbitrary set of objects to play with. The learning takes place cumulatively, with the robot interacting with different objects (some previously experienced, some novel) in an open-ended fashion. Since the solution itself depends on what objects are available in the "now," multiple episodes of past experiences have to be remembered and creatively integrated in the context of the present to be successful. Starting from zero, where the robot knows nothing, we explore the computational basis of organization episodic memory in a cumulatively learning humanoid and address (1) how relevant past experiences can be reconstructed based on the present context, (2) how multiple stored episodic memories compete to survive in the neural space and not be forgotten, (3) how remembered past experiences can be combined with explorative actions to learn something new, and (4) how multiple remembered experiences can be recombined to generate novel behaviors (without exploration). Through the resulting behaviors of the robot as it builds, breaks, learns, and remembers, we emphasize that mechanisms of episodic memory are fundamental design features necessary to enable the survival of autonomous robots in a real world where neither everything can be known

  6. Designing Emotionally Expressive Robots

    DEFF Research Database (Denmark)

    Tsiourti, Christiana; Weiss, Astrid; Wac, Katarzyna

    2017-01-01

    Socially assistive agents, be it virtual avatars or robots, need to engage in social interactions with humans and express their internal emotional states, goals, and desires. In this work, we conducted a comparative study to investigate how humans perceive emotional cues expressed by humanoid...... with abstract humanlike features. A qualitative and quantitative data analysis confirmed the expressive power of the face, but also demonstrated that body expressions or even simple head and locomotion movements could convey emotional information. These findings suggest that emotion recognition accuracy varies...... robots through five communication modalities (face, head, body, voice, locomotion) and examined whether the degree of a robot's human-like embodiment affects this perception. In an online survey, we asked people to identify emotions communicated by Pepper -a highly human-like robot and Hobbit – a robot...

  7. Initial Phases of Design-based Research into the Educational Potentials of NAO-Robots

    DEFF Research Database (Denmark)

    Majgaard, Gunver; Bertel, Lykke Brogaard

    2014-01-01

    robot NAO in primary and secondary schools. How does a programmable humanoid enrich teaching and how do we prepare the teachers? Ten school classes are using the robot for creative programming. So far we have experienced that the robot enriches the learning processes by combining the auditory...

  8. Presence of Life-Like Robot Expressions Influences Children’s Enjoyment of Human-Robot Interactions in the Field

    NARCIS (Netherlands)

    Cameron, David; Fernando, Samuel; Collins, Emily; Millings, Abigail; Moore, Roger; Sharkey, Amanda; Evers, Vanessa; Prescott, Tony

    Emotions, and emotional expression, have a broad influence on the interactions we have with others and are thus a key factor to consider in developing social robots. As part of a collaborative EU project, this study examined the impact of lifelike affective facial expressions, in the humanoid robot

  9. Physical Embodiment can Produce Robot Operator’s Pseudo Presence

    Directory of Open Access Journals (Sweden)

    Kazuaki eTanaka

    2015-05-01

    Full Text Available Recent studies have focused on humanoid robots for improving distant communication. When a user talks with a remote conversation partner through a humanoid robot, the user can see the remote partner’s body motions with physical embodiment but not the partner’s current appearance. The physical embodiment existing in the same room with the user is the main feature of humanoid robots, but the effects on social telepresence, i.e. the sense of resembling face-to-face interaction, had not yet been well demonstrated. To find the effects, we conducted an experiment in which subjects talked with a partner through robots and various existing communication media (e.g. voice, avatar and video chats. As a result, we found that the physical embodiment enhances social telepresence. However, in terms of the degree of social telepresence, the humanoid robot remained at the same level as the partner’s live-video, since presenting partner’s appearance also enhances social telepresence. To utilize the anonymity of a humanoid robot, we proposed the way that produces pseudo presence that is the sense of interacting with a remote partner when they are actually interacting with an autonomous robot. Through the second experiment, we discovered that the subjects tended to evaluate the degree of pseudo presence of a remote partner based on their prior experience of watching the partner’s body motions reproduced by a robot. When a subject interacted with an autonomous robot after interacting with a teleoperated robot (i.e., a remote operator that is identical with the autonomous robot, the subjects tended to feel as if they were talking with a remote operator.

  10. Obstacle Avoidance Method for a Group of Humanoids Inspired by Social Force Model

    Directory of Open Access Journals (Sweden)

    Ali Sadiyoko

    2015-12-01

    Full Text Available This paper presents a new formulation for obstacle and collision behavior on a group of humanoid robots that adopts walking behavior of pedestrian crowd. A pedestrian receives position information from the other pedestrians, calculate his movement and then continuing his objective. This capability is defined as socio-dynamic capability of a pedestrian. Pedestrian’s walking behavior in a crowd is an example of a sociodynamics system and known as Social Force Model (SFM. This research is trying to implement the avoidance terms in SFM into robot’s behavior. The aim of the integration of SFM into robot’s behavior is to increase robot’s ability to maintain its safety by avoiding the obstacles and collision with the other robots. The attractive feature of the proposed algorithm is the fact that the behavior of the humanoids will imitate the human’s behavior while avoiding the obstacle. The proposed algorithm combines formation control using Consensus Algorithm (CA with collision and obstacle avoidance technique using SFM. Simulation and experiment results show the effectiveness of the proposed algorithm.

  11. Bipedal locomotion: toward unified concepts in robotics and neuroscience.

    Science.gov (United States)

    Azevedo, Christine; Espiau, Bernard; Amblard, Bernard; Assaiante, Christine

    2007-02-01

    This review is the result of a joint reflection carried out by researchers in the fields of robotics and automatic control on the one hand and neuroscience on the other, both trying to answer the same question: what are the functional bases of bipedal locomotion and how can they be controlled? The originality of this work is to synthesize the two approaches in order to take advantage of the knowledge concerning the adaptability and reactivity performances of humans and of the rich tools and formal concepts available in biped robotics. Indeed, we claim that the theoretical framework of robotics can enhance our understanding of human postural control by formally expressing the experimental concepts used in neuroscience. Conversely, biological knowledge of human posture and gait can inspire biped robot design and control. Therefore, both neuroscientists and roboticists should find useful information in this paper.

  12. An Integrated Framework for Human-Robot Collaborative Manipulation.

    Science.gov (United States)

    Sheng, Weihua; Thobbi, Anand; Gu, Ye

    2015-10-01

    This paper presents an integrated learning framework that enables humanoid robots to perform human-robot collaborative manipulation tasks. Specifically, a table-lifting task performed jointly by a human and a humanoid robot is chosen for validation purpose. The proposed framework is split into two phases: 1) phase I-learning to grasp the table and 2) phase II-learning to perform the manipulation task. An imitation learning approach is proposed for phase I. In phase II, the behavior of the robot is controlled by a combination of two types of controllers: 1) reactive and 2) proactive. The reactive controller lets the robot take a reactive control action to make the table horizontal. The proactive controller lets the robot take proactive actions based on human motion prediction. A measure of confidence of the prediction is also generated by the motion predictor. This confidence measure determines the leader/follower behavior of the robot. Hence, the robot can autonomously switch between the behaviors during the task. Finally, the performance of the human-robot team carrying out the collaborative manipulation task is experimentally evaluated on a platform consisting of a Nao humanoid robot and a Vicon motion capture system. Results show that the proposed framework can enable the robot to carry out the collaborative manipulation task successfully.

  13. The Walk-Man Robot Software Architecture

    Directory of Open Access Journals (Sweden)

    Mirko Ferrati

    2016-05-01

    Full Text Available A software and control architecture for a humanoid robot is a complex and large project, which involves a team of developers/researchers to be coordinated and requires many hard design choices. If such project has to be done in a very limited time, i.e., less than 1 year, more constraints are added and concepts, such as modular design, code reusability, and API definition, need to be used as much as possible. In this work, we describe the software architecture developed for Walk-Man, a robot participant at the Darpa Robotics Challenge. The challenge required the robot to execute many different tasks, such as walking, driving a car, and manipulating objects. These tasks need to be solved by robotics specialists in their corresponding research field, such as humanoid walking, motion planning, or object manipulation. The proposed architecture was developed in 10 months, provided boilerplate code for most of the functionalities required to control a humanoid robot and allowed robotics researchers to produce their control modules for DRC tasks in a short time. Additional capabilities of the architecture include firmware and hardware management, mixing of different middlewares, unreliable network management, and operator control station GUI. All the source code related to the architecture and some control modules have been released as open source projects.

  14. Minimal feedback to a rhythm generator improves the robustness to slope variations of a compass biped.

    Science.gov (United States)

    Spitz, Jonathan; Evstrachin, Alexandrina; Zacksenhouse, Miriam

    2015-08-20

    In recent years there has been a growing interest in the field of dynamic walking and bio-inspired robots. However, while walking and running on a flat surface have been studied extensively, walking dynamically over terrains with varying slope remains a challenge. Previously we developed an open loop controller based on a central pattern generator (CPG). The controller applied predefined torque patterns to a compass-gait biped, and achieved stable gaits over a limited range of slopes. In this work, this range is greatly extended by applying a once per cycle feedback to the CPG controller. The terrain's slope is measured and used to modify both the CPG frequency and the torque amplitude once per step. A multi-objective optimization algorithm was used to tune the controller parameters for a simulated CB model. The resulting controller successfully traverses terrains with slopes ranging from +7° to -8°, comparable to most slopes found in human constructed environments. Gait stability was verified by computing the linearized Poincaré Map both numerically and analytically.

  15. Real-Time Motion Planning and Safe Navigation in Dynamic Multi-Robot Environments

    Science.gov (United States)

    2006-12-15

    Special Issue on Multi- Robot Systems, 2006, to appear. [25] J. Chestnutt, J. J. Kuffner, K. Nishiwaki, and S. Kagami. Planning biped navigation strategies...Real-Time Motion Planning and Safe Navigation in Dynamic Multi- Robot Environments James Robert Bruce CMU-CS-06-181 December 15, 2006 School of...Planning and Safe Navigation in Dynamic Multi- Robot Environments 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d

  16. 25th Conference on Robotics in Alpe-Adria-Danube Region

    CERN Document Server

    Borangiu, Theodor

    2017-01-01

    This book presents the proceedings of the 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016 held in Belgrade, Serbia, on June 30th–July 2nd, 2016. In keeping with the tradition of the event, RAAD 2016 covered all the important areas of research and innovation in new robot designs and intelligent robot control, with papers including Intelligent robot motion control; Robot vision and sensory processing; Novel design of robot manipulators and grippers; Robot applications in manufacturing and services; Autonomous systems, humanoid and walking robots; Human–robot interaction and collaboration; Cognitive robots and emotional intelligence; Medical, human-assistive robots and prosthetic design; Robots in construction and arts, and Evolution, education, legal and social issues of robotics. For the first time in RAAD history, the themes cloud robots, legal and ethical issues in robotics as well as robots in arts were included in the technical program. The book is a valuable resource f...

  17. The Role of Physical Embodiment of Humanoid Robot Interaction

    DEFF Research Database (Denmark)

    Segato, Nicolaj; Krogsager, Anders; Jensen, Daniel Grønkjær

    2014-01-01

    An important role for the communication management in human communication is head nods, e.g. as nonverbal feedback signal. Based on a Japanese study with virtual agents, have showed that the using head nods in virtual agents elicited more verbal output from the user, we look into the use of head ...

  18. Behavior-Based Early Language Development on a Humanoid Robot

    National Research Council Canada - National Science Library

    Varshavskaya, Paulina

    2002-01-01

    We are exploring the idea that early language acquisition could be better modelled on an artificial creature by considering the pragmatic aspect of natural language and of its development in human infants...

  19. Using a cognitive architecture for general purpose service robot control

    Science.gov (United States)

    Puigbo, Jordi-Ysard; Pumarola, Albert; Angulo, Cecilio; Tellez, Ricardo

    2015-04-01

    A humanoid service robot equipped with a set of simple action skills including navigating, grasping, recognising objects or people, among others, is considered in this paper. By using those skills the robot should complete a voice command expressed in natural language encoding a complex task (defined as the concatenation of a number of those basic skills). As a main feature, no traditional planner has been used to decide skills to be activated, as well as in which sequence. Instead, the SOAR cognitive architecture acts as the reasoner by selecting which action the robot should complete, addressing it towards the goal. Our proposal allows to include new goals for the robot just by adding new skills (without the need to encode new plans). The proposed architecture has been tested on a human-sized humanoid robot, REEM, acting as a general purpose service robot.

  20. The thumb: Guidelines for a robotic design

    OpenAIRE

    Chalon, Maxime; Grebenstein, Markus; Wimboeck, Thomas; Hirzinger, Gerd

    2010-01-01

    The impressive manipulation capabilities of the human hand are undoubtedly related to the thumb opposition. Such a versatility is highly desirable in the context of humanoid robots, in particular when performing object manipulation. Biomechanical data, surgery procedures and rehabilitation surveys represent an excellent base from which a robotic design can be inferred. This knowledge must be understood to identify the properties required for manipulation skills, and especially, to obtain a ho...

  1. Inventing Japan's 'robotics culture': the repeated assembly of science, technology, and culture in social robotics.

    Science.gov (United States)

    Sabanović, Selma

    2014-06-01

    Using interviews, participant observation, and published documents, this article analyzes the co-construction of robotics and culture in Japan through the technical discourse and practices of robotics researchers. Three cases from current robotics research--the seal-like robot PARO, the Humanoid Robotics Project HRP-2 humanoid, and 'kansei robotics' - show the different ways in which scientists invoke culture to provide epistemological grounding and possibilities for social acceptance of their work. These examples show how the production and consumption of social robotic technologies are associated with traditional crafts and values, how roboticists negotiate among social, technical, and cultural constraints while designing robots, and how humans and robots are constructed as cultural subjects in social robotics discourse. The conceptual focus is on the repeated assembly of cultural models of social behavior, organization, cognition, and technology through roboticists' narratives about the development of advanced robotic technologies. This article provides a picture of robotics as the dynamic construction of technology and culture and concludes with a discussion of the limits and possibilities of this vision in promoting a culturally situated understanding of technology and a multicultural view of science.

  2. Brain controlled robots.

    Science.gov (United States)

    Kawato, Mitsuo

    2008-06-01

    In January 2008, Duke University and the Japan Science and Technology Agency (JST) publicized their successful control of a brain-machine interface for a humanoid robot by a monkey brain across the Pacific Ocean. The activities of a few hundred neurons were recorded from a monkey's motor cortex in Miguel Nicolelis's lab at Duke University, and the kinematic features of monkey locomotion on a treadmill were decoded from neural firing rates in real time. The decoded information was sent to a humanoid robot, CB-i, in ATR Computational Neuroscience Laboratories located in Kyoto, Japan. This robot was developed by the JST International Collaborative Research Project (ICORP) as the "Computational Brain Project." CB-i's locomotion-like movement was video-recorded and projected on a screen in front of the monkey. Although the bidirectional communication used a conventional Internet connection, its delay was suppressed below one over several seconds, partly due to a video-streaming technique, and this encouraged the monkey's voluntary locomotion and influenced its brain activity. This commentary introduces the background and future directions of the brain-controlled robot.

  3. Radiation phantom with humanoid shape and adjustable thickness

    Science.gov (United States)

    Lehmann, Joerg [Pleasanton, CA; Levy, Joshua [Salem, NY; Stern, Robin L [Lodi, CA; Siantar, Christine Hartmann [Livermore, CA; Goldberg, Zelanna [Carmichael, CA

    2006-12-19

    A radiation phantom comprising a body with a general humanoid shape and at least a portion having an adjustable thickness. In one embodiment, the portion with an adjustable thickness comprises at least one tissue-equivalent slice.

  4. Design of variable-damping control for prosthetic knee based on a simulated biped.

    Science.gov (United States)

    Zhao, Jie; Berns, Karsten; de Souza Baptista, Roberto; Bo, Antonio Padilha L

    2013-06-01

    This paper presents the development of a variable-damping controller for a prosthetic knee using a simulated biped in a virtual environment before real tests are conducted on humans. The simulated biped incorporates several features of human walking, such as functional morphology, exploitation of inherent dynamics, hierarchical control network, combination of feed-forward and feedback controllers and phase-dependent modulation. Based on this virtual model of human walking, we have studied biomechanical aspects of the knee joint during walking. Observing the damping profile developed by the simulated biped throughout a gait cycle, we designed a controller for the knee joint. This controller has been evaluated on a modified version of the simulated biped, in which the model of a real prosthetic leg was incorporated. Results of such experiments for walking on flat and rough terrains have provided satisfactory outputs, including improved robustness.

  5. Study of Bipedal Robot Walking Motion in Low Gravity: Investigation and Analysis

    Directory of Open Access Journals (Sweden)

    Aiman Omer

    2014-09-01

    Full Text Available Humanoid robots are expected to play a major role in the future of space and planetary exploration. Humanoid robot features could have many advantages, such as interacting with astronauts and the ability to perform human tasks. However, the challenge of developing such a robot is quite high due to many difficulties. One of the main difficulties is the difference in gravity. Most researchers in the field of bipedal locomotion have not paid much attention to the effect of gravity. Gravity is an important parameter in generating a bipedal locomotion trajectory. This research investigates the effect of gravity on bipedal walking motion. It focuses on low gravity, since most of the known planets and moons have lower gravity than earth. Further study is conducted on a full humanoid robot model walking subject to the moon's gravity, and an approach for dealing with moon gravity is proposed in this paper.

  6. Balanced gait generations of a two-legged robot on sloping surface

    Indian Academy of Sciences (India)

    Pleaten et al 2003; Kajita et al 2003; Vukobratovic & Radic 2004; Kim et al 2005). In reality, however, a typical environment may also contain some sloping surfaces and staircases. During. ∗. For correspondence. 525 ... Pratt et al (2001) proposed a virtual model control for the biped robot walking on both the level as well as ...

  7. Design and Implementation of actuated ankles on a planar bipedal robot

    NARCIS (Netherlands)

    Franken, M.C.J.; Dertien, Edwin Christian; Stramigioli, Stefano

    2008-01-01

    The Control Engineering Group at the University of Twente is involved in research directed towards the realization of an energy-efficient humanoid robot. A prototype robot, named Dribbel, has been constructed and is used to study and analyze energy efficient locomotion based on passive dynamic

  8. The Potential of Peer Robots to Assist Human Creativity in Finding Problems and Problem Solving

    Science.gov (United States)

    Okita, Sandra

    2015-01-01

    Many technological artifacts (e.g., humanoid robots, computer agents) consist of biologically inspired features of human-like appearance and behaviors that elicit a social response. The strong social components of technology permit people to share information and ideas with these artifacts. As robots cross the boundaries between humans and…

  9. ServoSEA concept: Cheap, miniature series-elastic actuators for orthotic, prosthetic and robotic hands

    NARCIS (Netherlands)

    Ates, Sedar; Sluiter, Victor IJzebrand; Lammertse, P.; Stienen, Arno

    2014-01-01

    For interactive humanoids, rehabilitation robots, and orthotic and prosthetic devices, the human-robot interaction is an essential but challenging element. Compliant Series-Elastic Actuators (SEAs) are ideal to power such devices due to their low impedance and smoothness of generated forces. In this

  10. Human-Robot Interaction: Status and Challenges.

    Science.gov (United States)

    Sheridan, Thomas B

    2016-06-01

    The current status of human-robot interaction (HRI) is reviewed, and key current research challenges for the human factors community are described. Robots have evolved from continuous human-controlled master-slave servomechanisms for handling nuclear waste to a broad range of robots incorporating artificial intelligence for many applications and under human supervisory control. This mini-review describes HRI developments in four application areas and what are the challenges for human factors research. In addition to a plethora of research papers, evidence of success is manifest in live demonstrations of robot capability under various forms of human control. HRI is a rapidly evolving field. Specialized robots under human teleoperation have proven successful in hazardous environments and medical application, as have specialized telerobots under human supervisory control for space and repetitive industrial tasks. Research in areas of self-driving cars, intimate collaboration with humans in manipulation tasks, human control of humanoid robots for hazardous environments, and social interaction with robots is at initial stages. The efficacy of humanoid general-purpose robots has yet to be proven. HRI is now applied in almost all robot tasks, including manufacturing, space, aviation, undersea, surgery, rehabilitation, agriculture, education, package fetch and delivery, policing, and military operations. © 2016, Human Factors and Ergonomics Society.

  11. Fable: Design of a Modular Robotic Playware Platform

    DEFF Research Database (Denmark)

    Pacheco, Moises; Moghadam, Mikael; Magnússon, Arnþór

    2013-01-01

    We are developing the Fable modular robotic system as a playware platform that will enable non-expert users to develop robots ranging from advanced robotic toys to robotic solutions to problems encountered in their daily lives. This paper presents the mechanical design of Fable: a chain......-based system composed of reconfigurable heterogeneous modules with a reliable and scalable connector. Furthermore, this paper describes tests where the connector design is tested with children, and presents examples of a moving snake and a quadruped robot, as well as an interactive upper humanoid torso....

  12. 1st Iberian Robotics Conference

    CERN Document Server

    Sanfeliu, Alberto; Ferre, Manuel; ROBOT2013; Advances in robotics

    2014-01-01

    This book contains the proceedings of the ROBOT 2013: FIRST IBERIAN ROBOTICS CONFERENCE and it can be said that included both state of the art and more practical presentations dealing with implementation problems, support technologies and future applications. A growing interest in Assistive Robotics, Agricultural Robotics, Field Robotics, Grasping and Dexterous Manipulation, Humanoid Robots, Intelligent Systems and Robotics, Marine Robotics, has been demonstrated by the very relevant number of contributions. Moreover, ROBOT2013 incorporates a special session on Legal and Ethical Aspects in Robotics that is becoming a topic of key relevance. This Conference was held in Madrid (28-29 November 2013), organised by the Sociedad Española para la Investigación y Desarrollo en Robótica (SEIDROB) and by the Centre for Automation and Robotics - CAR (Universidad Politécnica de Madrid (UPM) and Consejo Superior de Investigaciones Científicas (CSIC)), along with the co-operation of Grupo Temático de Robótica CEA-GT...

  13. A Low-Cost Anthropometric Walking Robot for Reproducing Gait Lab Data

    Directory of Open Access Journals (Sweden)

    Rogério Eduardo da Silva Santana

    2008-01-01

    Full Text Available Human gait analysis is one of the resources that may be used in the study and treatment of pathologies of the locomotive system. This paper deals with the modelling and control aspects of the design, construction and testing of a biped walking robot conceived to, in limited extents, reproduce the human gait. Robot dimensions have been chosen in order to guarantee anthropomorphic proportions and then to help health professionals in gait studies. The robot has been assembled with low-cost components and can reproduce, in an assisted way, real-gait patterns generated from data previously acquired in gait laboratories. Part of the simulated and experimental results are addressed to demonstrate the ability of the biped robot in reproducing normal and pathological human gait.

  14. Speech interaction strategies for a humanoid assistant

    Directory of Open Access Journals (Sweden)

    Stüker Sebastian

    2018-01-01

    Full Text Available The goal of SecondHands, a H2020 project, is to design a robot that can offer help to a maintenance technician in a proactive manner. The robot is to act as a second pair of hands that can assist the technician when he is in need of help. In order for the robot to be of real help to the technician, it needs to understand his needs and follow his commands. Interaction via speech is a crucial part of this. Due to the nature of the situation in which the interactions take place, often the technician needs to speak to the robot when under stress performing strenuous physical labor, the classical turn based interaction schemes need to be transformed into dialogue systems that perform stream processing, anticipating user intentions, correcting itself as more information become available, in order to be able to respond in a rapid manner. In order to meet these demands, we are developing low-latency streaming based automatic speech recognition systems in combination with recurrent neural network based Natural Language Understanding systems that perform slot filling and intent recognition in order for the robot to provide assistance in a rapid manner, that can be partly based on speculative classifications that are then being refined as more speech becomes available.

  15. Designing a Robot for Cultural Brokering in Education

    Science.gov (United States)

    Kim, Yanghee

    2016-01-01

    The increasing number of English language learning children in U.S. classrooms and the need for effective programs that support these children present a great challenge to the current educational paradigm. The challenge may be met, at least in part, by an innovative humanoid robot serving as a cultural broker that mediates collaborative…

  16. Synthesis of adaptive impedance control for bipedal robot mechanisms

    OpenAIRE

    Petrović Milena; Rodić Aleksandar

    2008-01-01

    The paper describes the impedance algorithm in locomotion of humanoid robot with proposed parameter modulation depending on the gate phase. The analysis shows influence of walking speed and foot elevation on regulator's parameters. Chosen criterion cares for footpath tracking and needed energy for that way of walking. The experiments give recommendation for impedance regulator tuning.

  17. Research of smart real-time robot navigation system

    Science.gov (United States)

    Rahmani, Budi; Harjoko, A.; Priyambodo, T. K.; Aprilianto, H.

    2016-02-01

    In this paper described how the humanoid robot measures its distance to the orange ball on green floor. We trained the robot camera (CMUcam5) to detect and track the block color of the orange ball. The block color also used to estimate the distance of the camera toward the ball by comparing its block color size when its in the end of field of view and when its near of the camera. Then, using the pythagoras equation we calculate the distance estimation between the whole humanoid robot toward the ball. The distance will be used to estimate how many step the robot must perform to approach the ball and doing another task like kick the ball. The result shows that our method can be used as one of smart navigation system using a camera as the only one sensor to perceive the information of environtment.

  18. Handling uncertainty and networked structure in robot control

    CERN Document Server

    Tamás, Levente

    2015-01-01

    This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active sensing, and complex scenario perception to tackle sensing uncertainty. Part III completes the book with control of networked robots and multi-robot teams. Each chapter features in-depth technical coverage and case studies highlighting the applicability of the techniques, with real robots or in simulation. Platforms include mobile ground, aerial, and underwater robots, as well as humanoid robots and robot arms. Source code and experimental data are available at http://extras.springer.com. The text gathers contributions from academic and industry experts, and offers a valuable resource for researchers or graduate students in robot control and perception. It also benefits researchers in related areas, such as computer...

  19. Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systems

    Science.gov (United States)

    Yoo, Hosun; Kwon, Ohbyung; Lee, Namyeon

    2016-07-01

    With advances in robot technology, interest in robotic e-learning systems has increased. In some laboratories, experiments are being conducted with humanoid robots as artificial tutors because of their likeness to humans, the rich possibilities of using this type of media, and the multimodal interaction capabilities of these robots. The robot-assisted learning system, a special type of e-learning system, aims to increase the learner's concentration, pleasure, and learning performance dramatically. However, very few empirical studies have examined the effect on learning performance of incorporating humanoid robot technology into e-learning systems or people's willingness to accept or adopt robot-assisted learning systems. In particular, human likeness, the essential characteristic of humanoid robots as compared with conventional e-learning systems, has not been discussed in a theoretical context. Hence, the purpose of this study is to propose a theoretical model to explain the process of adoption of robot-assisted learning systems. In the proposed model, human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and para-social relationships; these factors are considered as possible determinants of the degree to which human cognition and affection are related to the adoption of robot-assisted learning systems.

  20. Designing the Mind of a Social Robot

    Directory of Open Access Journals (Sweden)

    Nicole Lazzeri

    2018-02-01

    Full Text Available Humans have an innate tendency to anthropomorphize surrounding entities and have always been fascinated by the creation of machines endowed with human-inspired capabilities and traits. In the last few decades, this has become a reality with enormous advances in hardware performance, computer graphics, robotics technology, and artificial intelligence. New interdisciplinary research fields have brought forth cognitive robotics aimed at building a new generation of control systems and providing robots with social, empathetic and affective capabilities. This paper presents the design, implementation, and test of a human-inspired cognitive architecture for social robots. State-of-the-art design approaches and methods are thoroughly analyzed and discussed, cases where the developed system has been successfully used are reported. The tests demonstrated the system’s ability to endow a social humanoid robot with human social behaviors and with in-silico robotic emotions.

  1. Learning Algorithm for a Brachiating Robot

    Directory of Open Access Journals (Sweden)

    Hideki Kajima

    2003-01-01

    Full Text Available This paper introduces a new concept of multi-locomotion robot inspired by an animal. The robot, ‘Gorilla Robot II’, can select the appropriate locomotion (from biped locomotion, quadruped locomotion and brachiation according to an environment or task. We consider ‘brachiation’ to be one of the most dynamic of animal motions. To develop a brachiation controller, architecture of the hierarchical behaviour-based controller, which consists of behaviour controllers and behaviour coordinators, was used. To achieve better brachiation, an enhanced learning method for motion control, adjusting the timing of the behaviour coordination, is proposed. Finally, it is shown that the developed robot successfully performs two types of brachiation and continuous locomotion.

  2. Multimodal Robots As Educational Tools In Primary And Lower Secondary Education

    DEFF Research Database (Denmark)

    Majgaard, Gunver

    2015-01-01

    Multimodal humanoid robots have been used as educational tools in primary and lower secondary schools. The pupils involved were between 11 and 16 years old. The learning goals included: programming, language learning, ethics, technology and mathematics, e.g. practised by 7th grade pupils who...... rogrammed the robots and made the robots recite poems about the future. We conducted workshops for the teachers in didactical planning and programming of the robots. In the most successful settings, the pupils worked with academic objectives beyond programming and robotics. Through examples, we highlighted...... the potentials and the shortcomings in multimodal-robot-supported learning....

  3. Influence of facial feedback during a cooperative human-robot task in schizophrenia.

    Science.gov (United States)

    Cohen, Laura; Khoramshahi, Mahdi; Salesse, Robin N; Bortolon, Catherine; Słowiński, Piotr; Zhai, Chao; Tsaneva-Atanasova, Krasimira; Di Bernardo, Mario; Capdevielle, Delphine; Marin, Ludovic; Schmidt, Richard C; Bardy, Benoit G; Billard, Aude; Raffard, Stéphane

    2017-11-03

    Rapid progress in the area of humanoid robots offers tremendous possibilities for investigating and improving social competences in people with social deficits, but remains yet unexplored in schizophrenia. In this study, we examined the influence of social feedbacks elicited by a humanoid robot on motor coordination during a human-robot interaction. Twenty-two schizophrenia patients and twenty-two matched healthy controls underwent a collaborative motor synchrony task with the iCub humanoid robot. Results revealed that positive social feedback had a facilitatory effect on motor coordination in the control participants compared to non-social positive feedback. This facilitatory effect was not present in schizophrenia patients, whose social-motor coordination was similarly impaired in social and non-social feedback conditions. Furthermore, patients' cognitive flexibility impairment and antipsychotic dosing were negatively correlated with patients' ability to synchronize hand movements with iCub. Overall, our findings reveal that patients have marked difficulties to exploit facial social cues elicited by a humanoid robot to modulate their motor coordination during human-robot interaction, partly accounted for by cognitive deficits and medication. This study opens new perspectives for comprehension of social deficits in this mental disorder.

  4. Android Robotics and the Conceptualization of Human Beings

    DEFF Research Database (Denmark)

    Nørskov, Marco; Platz, Anemone

    Japan has for decades been a first-mover and pacemaker with respect to the development of humanoid and android robots [1]. In this conceptual paper, we aim to demonstrate how certain android robotic projects can be embedded and interpreted within a Japanese notion of nature, where the artificial...... is not opposed to nature and where conventionalized idealizations in general are cherished over original state of the latter [2]. Furthermore, we will discuss how android robots epitomize challenges to the macro and micro levels of society. [1] J. Robertson, Robo Sapiens Japanicus: Robots, Gender, Family...

  5. Humanoid infers Archimedes' principle: understanding physical relations and object affordances through cumulative learning experiences.

    Science.gov (United States)

    Bhat, Ajaz Ahmad; Mohan, Vishwanathan; Sandini, Giulio; Morasso, Pietro

    2016-07-01

    Emerging studies indicate that several species such as corvids, apes and children solve 'The Crow and the Pitcher' task (from Aesop's Fables) in diverse conditions. Hidden beneath this fascinating paradigm is a fundamental question: by cumulatively interacting with different objects, how can an agent abstract the underlying cause-effect relations to predict and creatively exploit potential affordances of novel objects in the context of sought goals? Re-enacting this Aesop's Fable task on a humanoid within an open-ended 'learning-prediction-abstraction' loop, we address this problem and (i) present a brain-guided neural framework that emulates rapid one-shot encoding of ongoing experiences into a long-term memory and (ii) propose four task-agnostic learning rules (elimination, growth, uncertainty and status quo) that correlate predictions from remembered past experiences with the unfolding present situation to gradually abstract the underlying causal relations. Driven by the proposed architecture, the ensuing robot behaviours illustrated causal learning and anticipation similar to natural agents. Results further demonstrate that by cumulatively interacting with few objects, the predictions of the robot in case of novel objects converge close to the physical law, i.e. the Archimedes principle: this being independent of both the objects explored during learning and the order of their cumulative exploration. © 2016 The Author(s).

  6. Optimization-based Dynamic Human Lifting Prediction

    Science.gov (United States)

    2008-06-01

    analysis of human lifting movement for biped robot control. Advanced Motion Control, 2004. The 8th IEEE International Workshop. 7. Pope, M.H. and...constraints. Arisumi et al. (2007) studied the dynamic lifting motion of humanoid robots which considered the instantaneous transferred load to the object... robots . IEEE International Conference on Robotics and Automation, Roma, Italy, 10-14 April 2007. 2. Chaffin, D.B. and Andersson, G.B.J.. Occupational

  7. Robot Faces that Follow Gaze Facilitate Attentional Engagement and Increase Their Likeability.

    Science.gov (United States)

    Willemse, Cesco; Marchesi, Serena; Wykowska, Agnieszka

    2018-01-01

    Gaze behavior of humanoid robots is an efficient mechanism for cueing our spatial orienting, but less is known about the cognitive-affective consequences of robots responding to human directional cues. Here, we examined how the extent to which a humanoid robot (iCub) avatar directed its gaze to the same objects as our participants affected engagement with the robot, subsequent gaze-cueing, and subjective ratings of the robot's characteristic traits. In a gaze-contingent eyetracking task, participants were asked to indicate a preference for one of two objects with their gaze while an iCub avatar was presented between the object photographs. In one condition, the iCub then shifted its gaze toward the object chosen by a participant in 80% of the trials (joint condition) and in the other condition it looked at the opposite object 80% of the time (disjoint condition). Based on the literature in human-human social cognition, we took the speed with which the participants looked back at the robot as a measure of facilitated reorienting and robot-preference, and found these return saccade onset times to be quicker in the joint condition than in the disjoint condition. As indicated by results from a subsequent gaze-cueing tasks, the gaze-following behavior of the robot had little effect on how our participants responded to gaze cues. Nevertheless, subjective reports suggested that our participants preferred the iCub following participants' gaze to the one with a disjoint attention behavior, rated it as more human-like and as more likeable. Taken together, our findings show a preference for robots who follow our gaze. Importantly, such subtle differences in gaze behavior are sufficient to influence our perception of humanoid agents, which clearly provides hints about the design of behavioral characteristics of humanoid robots in more naturalistic settings.

  8. Improving Cognitive Skills of the Industrial Robot

    Directory of Open Access Journals (Sweden)

    Bezák Pavol

    2015-08-01

    Full Text Available At present, there are plenty of industrial robots that are programmed to do the same repetitive task all the time. Industrial robots doing such kind of job are not able to understand whether the action is correct, effective or good. Object detection, manipulation and grasping is challenging due to the hand and object modeling uncertainties, unknown contact type and object stiffness properties. In this paper, the proposal of an intelligent humanoid hand object detection and grasping model is presented assuming that the object properties are known. The control is simulated in the Matlab Simulink/ SimMechanics, Neural Network Toolbox and Computer Vision System Toolbox.

  9. Improving Cognitive Skills of the Industrial Robot

    Science.gov (United States)

    Bezák, Pavol

    2015-08-01

    At present, there are plenty of industrial robots that are programmed to do the same repetitive task all the time. Industrial robots doing such kind of job are not able to understand whether the action is correct, effective or good. Object detection, manipulation and grasping is challenging due to the hand and object modeling uncertainties, unknown contact type and object stiffness properties. In this paper, the proposal of an intelligent humanoid hand object detection and grasping model is presented assuming that the object properties are known. The control is simulated in the Matlab Simulink/ SimMechanics, Neural Network Toolbox and Computer Vision System Toolbox.

  10. Overcoming Motor-Rate Limitations in Online Synchronized Robot Dancing

    Directory of Open Access Journals (Sweden)

    CatarinaB. Santiago

    2012-08-01

    Full Text Available We propose an online sensorimotor architecture for controlling a low-cost humanoid robot to perform dance movements synchronized with musical stimuli. The proposed architecture attempts to overcome the robot's motor constraints by adjusting the velocity of its actuators and inter-changing the attended beat metrical-level on-the-fly. Moreover, we propose quantitative metrics for measuring the level of beat-synchrony of the generated robot dancing motion and complement them with a qualitative survey about several aspects of the demonstrated robot dance performances. Tests with different dance movements and musical pieces demonstrated satisfactory beat-synchrony results despite the physical limitations of the robot. The comparison against robot dance sequences generated without inter-changing the attended metrical-level validated our sensorimotor approach for controlling beat-synchronous robot dancing motions using different dance movements and facing distinct musical tempo conditions.

  11. Utilisation de modèles inspirés de l'humain pour guider la locomotion des robots

    OpenAIRE

    Vassallo , Christian

    2016-01-01

    This thesis has been done within the framework of the European Project Koroibot which aims at developing advanced algorithms to improve the humanoid robots locomotion. It is organized in three parts. With the aim of steering robots in a safe and efficient manner among humans it is required to understand the rules, principles and strategies of human during locomotion and transfer them to robots. The goal of this thesis is to investigate and identify the human locomotion strategies and create a...

  12. UTILISATION DES MODÈLES INSPIRÉS DE L'HUMAIN POUR LE GUIDAGE DE LA LOCOMOTION DE ROBOTS

    OpenAIRE

    Vassallo, Christian

    2016-01-01

    This thesis has been done within the framework of the European Project Koroibot which aims at developing advanced algorithms to improve the humanoid robots locomotion. It is organized in three parts. With the aim of steering robots in a safe and efficient manner among humans it is required to understand the rules, principles and strategies of human during locomotion and transfer them to robots. The goal of this thesis is to investigate and identify the human locomotion strategies and create a...

  13. When Humanoid Robots Become Human-Like Interaction Partners: Corepresentation of Robotic Actions

    Science.gov (United States)

    Stenzel, Anna; Chinellato, Eris; Bou, Maria A. Tirado; del Pobil, Angel P.; Lappe, Markus; Liepelt, Roman

    2012-01-01

    In human-human interactions, corepresenting a partner's actions is crucial to successfully adjust and coordinate actions with others. Current research suggests that action corepresentation is restricted to interactions between human agents facilitating social interaction with conspecifics. In this study, we investigated whether action…

  14. Social categorization of social robots: anthropomorphism as a function of robot group membership.

    Science.gov (United States)

    Eyssel, Friederike; Kuchenbrandt, Dieta

    2012-12-01

    Previous work on social categorization has shown that people often use cues such as a person's gender, age, or ethnicity to categorize and form impressions of others. The present research investigated effects of social category membership on the evaluation of humanoid robots. More specifically, participants rated a humanoid robot that either belonged to their in-group or to a national out-group with regard to anthropomorphism (e.g., mind attribution, warmth), psychological closeness, contact intentions, and design. We predicted that participants would show an in-group bias towards the robot that ostensibly belonged to their in-group--as indicated by its name and location of production. In line with our hypotheses, participants not only rated the in-group robot more favourably--importantly, they also anthropomorphized it more strongly than the out-group robot. Our findings thus document that people even apply social categorization processes and subsequent differential social evaluations to robots. ©2011 The British Psychological Society.

  15. Decomposition and Cross-Product-Based Method for Computing the Dynamic Equation of Robots

    Directory of Open Access Journals (Sweden)

    Ching-Long Shih

    2012-08-01

    Full Text Available This paper aims to demonstrate a clear relationship between Lagrange equations and Newton-Euler equations regarding computational methods for robot dynamics, from which we derive a systematic method for using either symbolic or on-line numerical computations. Based on the decomposition approach and cross-product operation, a computing method for robot dynamics can be easily developed. The advantages of this computing framework are that: it can be used for both symbolic and on-line numeric computation purposes, and it can also be applied to biped systems, as well as some simple closed-chain robot systems.

  16. Modeling Dynamics and Exploring Control of a Single-Wheeled Dynamically Stable Mobile Robot with Arms

    Science.gov (United States)

    2006-08-31

    Takahashi, T., and Kawamura, A. "A Study on the Zero Moment Point Measurement for Biped Walking Robots ", Proc. of the 7th International Workshop on...STABLE MOBILE ROBOT WITH ARMS" 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER CAPT SCHEARER ERIC M 5e. TASK NUMBER 5f. WORK...Std. Z39.18 Modeling Dynamics and Exploring Control of a Single-Wheeled Dynamically Stable Mobile Robot with Arms Eric M. Schearer CMU-RI-TR-06-37

  17. Robot Faces that Follow Gaze Facilitate Attentional Engagement and Increase Their Likeability

    Science.gov (United States)

    Willemse, Cesco; Marchesi, Serena; Wykowska, Agnieszka

    2018-01-01

    Gaze behavior of humanoid robots is an efficient mechanism for cueing our spatial orienting, but less is known about the cognitive–affective consequences of robots responding to human directional cues. Here, we examined how the extent to which a humanoid robot (iCub) avatar directed its gaze to the same objects as our participants affected engagement with the robot, subsequent gaze-cueing, and subjective ratings of the robot’s characteristic traits. In a gaze-contingent eyetracking task, participants were asked to indicate a preference for one of two objects with their gaze while an iCub avatar was presented between the object photographs. In one condition, the iCub then shifted its gaze toward the object chosen by a participant in 80% of the trials (joint condition) and in the other condition it looked at the opposite object 80% of the time (disjoint condition). Based on the literature in human–human social cognition, we took the speed with which the participants looked back at the robot as a measure of facilitated reorienting and robot-preference, and found these return saccade onset times to be quicker in the joint condition than in the disjoint condition. As indicated by results from a subsequent gaze-cueing tasks, the gaze-following behavior of the robot had little effect on how our participants responded to gaze cues. Nevertheless, subjective reports suggested that our participants preferred the iCub following participants’ gaze to the one with a disjoint attention behavior, rated it as more human-like and as more likeable. Taken together, our findings show a preference for robots who follow our gaze. Importantly, such subtle differences in gaze behavior are sufficient to influence our perception of humanoid agents, which clearly provides hints about the design of behavioral characteristics of humanoid robots in more naturalistic settings. PMID:29459842

  18. Walking in the uncanny valley: importance of the attractiveness on the acceptance of a robot as a working partner

    Science.gov (United States)

    Destephe, Matthieu; Brandao, Martim; Kishi, Tatsuhiro; Zecca, Massimiliano; Hashimoto, Kenji; Takanishi, Atsuo

    2015-01-01

    The Uncanny valley hypothesis, which tells us that almost-human characteristics in a robot or a device could cause uneasiness in human observers, is an important research theme in the Human Robot Interaction (HRI) field. Yet, that phenomenon is still not well-understood. Many have investigated the external design of humanoid robot faces and bodies but only a few studies have focused on the influence of robot movements on our perception and feelings of the Uncanny valley. Moreover, no research has investigated the possible relation between our uneasiness feeling and whether or not we would accept robots having a job in an office, a hospital or elsewhere. To better understand the Uncanny valley, we explore several factors which might have an influence on our perception of robots, be it related to the subjects, such as culture or attitude toward robots, or related to the robot such as emotions and emotional intensity displayed in its motion. We asked 69 subjects (N = 69) to rate the motions of a humanoid robot (Perceived Humanity, Eeriness, and Attractiveness) and state where they would rather see the robot performing a task. Our results suggest that, among the factors we chose to test, the attitude toward robots is the main influence on the perception of the robot related to the Uncanny valley. Robot occupation acceptability was affected only by Attractiveness, mitigating any Uncanny valley effect. We discuss the implications of these findings for the Uncanny valley and the acceptability of a robotic worker in our society. PMID:25762967

  19. The Impact of the Contingency of Robot Feedback for HRI

    DEFF Research Database (Denmark)

    Fischer, Kerstin; Lohan, Katrin Solveig; Saunders, Joe

    2013-01-01

    In this paper, we investigate the impact the contingency of robot feedback may have on the quality of verbal human-robot interaction. In order to assess not only what the effects are but also what they are caused by, we carried out experiments in which naïve participants instructed the humanoid...... robot iCub on a set of shapes and on a stacking task in two conditions, once with socially contingent, nonverbal feedback implemented in response to different gaze and looming behaviors of the human tutor, and once with non-contingent, saliency-based feedback. The results of the analysis of participants...

  20. Multi-function robots with speech interaction and emotion feedback

    Science.gov (United States)

    Wang, Hongyu; Lou, Guanting; Ma, Mengchao

    2018-03-01

    Nowadays, the service robots have been applied in many public circumstances; however, most of them still don’t have the function of speech interaction, especially the function of speech-emotion interaction feedback. To make the robot more humanoid, Arduino microcontroller was used in this study for the speech recognition module and servo motor control module to achieve the functions of the robot’s speech interaction and emotion feedback. In addition, W5100 was adopted for network connection to achieve information transmission via Internet, providing broad application prospects for the robot in the area of Internet of Things (IoT).

  1. Continuing Robot Skill Learning after Demonstration with Human Feedback

    Directory of Open Access Journals (Sweden)

    Argall Brenna D.

    2011-12-01

    Full Text Available Though demonstration-based approaches have been successfully applied to learning a variety of robot behaviors, there do exist some limitations. The ability to continue learning after demonstration, based on execution experience with the learned policy, therefore has proven to be an asset to many demonstration-based learning systems. This paper discusses important considerations for interfaces that provide feedback to adapt and improve demonstrated behaviors. Feedback interfaces developed for two robots with very different motion capabilities - a wheeled mobile robot and high degree-of-freedom humanoid - are highlighted.

  2. Ping-Pong Robotics with High-Speed Vision System

    DEFF Research Database (Denmark)

    Li, Hailing; Wu, Haiyan; Lou, Lei

    2012-01-01

    The performance of vision-based control is usually limited by the low sampling rate of the visual feedback. We address Ping-Pong robotics as a widely studied example which requires high-speed vision for highly dynamic motion control. In order to detect a flying ball accurately and robustly...... of the manipulator are updated iteratively with decreasing error. Experiments are conducted on a 7 degrees of freedom humanoid robot arm. A successful Ping-Pong playing between the robot arm and human is achieved with a high successful rate of 88%....

  3. A Robot-Partner for Preschool Children Learning English Using Socio-Cognitive Conflict

    Science.gov (United States)

    Mazzoni, Elvis; Benvenuti, Martina

    2015-01-01

    This paper presents an exploratory study in which a humanoid robot (MecWilly) acted as a partner to preschool children, helping them to learn English words. In order to use the Socio-Cognitive Conflict paradigm to induce the knowledge acquisition process, we designed a playful activity in which children worked in pairs with another child or with…

  4. Golden Gait: An Optimization Theory Perspective on Human and Humanoid Walking.

    Science.gov (United States)

    Iosa, Marco; Morone, Giovanni; Paolucci, Stefano

    2017-01-01

    Human walking is a complex task which includes hundreds of muscles, bones and joints working together to deliver harmonic movements with the need of finding equilibrium between moving forward and maintaining stability. Many different computational approaches have been used to explain human walking mechanisms, from pendular model to fractal approaches. A new perspective can be gained from using the principles developed in the field of Optimization theory and in particularly the branch of Game Theory. In particular we provide a new insight into human walking showing as the trade-off between advancement and equilibrium managed during walking has the same solution of the Ultimatum game, one of the most famous paradigms of game theory, and this solution is the golden ratio. The golden ratio is an irrational number that was found in many biological and natural systems self-organized in a harmonic, asymmetric, and fractal structure. Recently, the golden ratio has also been found as the equilibrium point between two players involved into the Ultimatum Game. It has been suggested that this result can be due to the fact that the golden ratio is perceived as the fairest asymmetric solution by the two players. The golden ratio is also the most common proportion between stance and swing phase of human walking. This approach may explain the importance of harmony in human walking, and provide new perspectives for developing quantitative assessment of human walking, efficient humanoid robotic walkers, and effective neurorobots for rehabilitation.

  5. Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots.

    Science.gov (United States)

    Park, Gyeong-Moon; Yoo, Yong-Ho; Kim, Deok-Hwa; Kim, Jong-Hwan

    2017-06-26

    Robots are expected to perform smart services and to undertake various troublesome or difficult tasks in the place of humans. Since these human-scale tasks consist of a temporal sequence of events, robots need episodic memory to store and retrieve the sequences to perform the tasks autonomously in similar situations. As episodic memory, in this paper we propose a novel Deep adaptive resonance theory (ART) neural model and apply it to the task performance of the humanoid robot, Mybot, developed in the Robot Intelligence Technology Laboratory at KAIST. Deep ART has a deep structure to learn events, episodes, and even more like daily episodes. Moreover, it can retrieve the correct episode from partial input cues robustly. To demonstrate the effectiveness and applicability of the proposed Deep ART, experiments are conducted with the humanoid robot, Mybot, for performing the three tasks of arranging toys, making cereal, and disposing of garbage.

  6. Hydrolysis of methyl benzoate from Piper arboreum by Naupactus bipes beetle

    Energy Technology Data Exchange (ETDEWEB)

    Ramos, Clecio S.; Kato, Massuo J. [Universidade de Sao Paulo (USP), SP (Brazil). Inst. de Quimica]. E-mail: majokato@iq.usp.br

    2009-07-01

    A new natural product was isolated from Piper arboreum (Piperaceae) leaves, the methyl 3-geranyl-4-hydroxybenzoate (1). The metabolism of P. arboreum leaves by Naupactus bipes beetle (Germar, 1824 - Coleoptera: Curculionidae) led to the hydrolysis of 1 to 3-geranyl-4-hydroxybenzoic acid (2). The structures of both compounds were determined based on spectroscopic analysis ({sup 1}H and {sup 13}C NMR, MS, and IR). (author)

  7. Robotics in biomedical chromatography and electrophoresis.

    Science.gov (United States)

    Fouda, H G

    1989-08-11

    The ideal laboratory robot can be viewed as "an indefatigable assistant capable of working continuously for 24 h a day with constant efficiency". The development of a system approaching that promise requires considerable skill and time commitment, a thorough understanding of the capabilities and limitations of the robot and its specialized modules and an intimate knowledge of the functions to be automated. The robot need not emulate every manual step. Effective substitutes for difficult steps must be devised. The future of laboratory robots depends not only on technological advances in other fields, but also on the skill and creativity of chromatographers and other scientists. The robot has been applied to automate numerous biomedical chromatography and electrophoresis methods. The quality of its data can approach, and in some cases exceed, that of manual methods. Maintaining high data quality during continuous operation requires frequent maintenance and validation. Well designed robotic systems can yield substantial increase in the laboratory productivity without a corresponding increase in manpower. They can free skilled personnel from mundane tasks and can enhance the safety of the laboratory environment. The integration of robotics, chromatography systems and laboratory information management systems permits full automation and affords opportunities for unattended method development and for future incorporation of artificial intelligence techniques and the evolution of expert systems. Finally, humanoid attributes aside, robotic utilization in the laboratory should not be an end in itself. The robot is a useful tool that should be utilized only when it is prudent and cost-effective to do so.

  8. Design of a bipedal walking robot

    Science.gov (United States)

    Pratt, Jerry; Krupp, Ben

    2008-04-01

    We present the mechanical design of a bipedal walking robot named M2V2, as well as control strategies to be implemented for walking and balance recovery. M2V2 has 12 actuated degrees of freedom in the lower body: three at each hip, one at each knee, and two at each ankle. Each degree of freedom is powered by a force controllable Series Elastic Actuator. These actuators provide high force fidelity and low impedance, allowing for control techniques that exploit the natural dynamics of the robot. The walking and balance recovery controllers will use the concepts of Capture Points and the Capture Region in order to decide where to step. A Capture Point is a point on the ground in which a biped can step to in order to stop, and the Capture Region is the locus of such points.

  9. Kinematics and dynamics analysis of a quadruped walking robot with parallel leg mechanism

    Science.gov (United States)

    Wang, Hongbo; Sang, Lingfeng; Hu, Xing; Zhang, Dianfan; Yu, Hongnian

    2013-09-01

    It is desired to require a walking robot for the elderly and the disabled to have large capacity, high stiffness, stability, etc. However, the existing walking robots cannot achieve these requirements because of the weight-payload ratio and simple function. Therefore, Improvement of enhancing capacity and functions of the walking robot is an important research issue. According to walking requirements and combining modularization and reconfigurable ideas, a quadruped/biped reconfigurable walking robot with parallel leg mechanism is proposed. The proposed robot can be used for both a biped and a quadruped walking robot. The kinematics and performance analysis of a 3-UPU parallel mechanism which is the basic leg mechanism of a quadruped walking robot are conducted and the structural parameters are optimized. The results show that performance of the walking robot is optimal when the circumradius R, r of the upper and lower platform of leg mechanism are 161.7 mm, 57.7 mm, respectively. Based on the optimal results, the kinematics and dynamics of the quadruped walking robot in the static walking mode are derived with the application of parallel mechanism and influence coefficient theory, and the optimal coordination distribution of the dynamic load for the quadruped walking robot with over-determinate inputs is analyzed, which solves dynamic load coupling caused by the branches’ constraint of the robot in the walk process. Besides laying a theoretical foundation for development of the prototype, the kinematics and dynamics studies on the quadruped walking robot also boost the theoretical research of the quadruped walking and the practical applications of parallel mechanism.

  10. Exploratorium: Robots.

    Science.gov (United States)

    Brand, Judith, Ed.

    2002-01-01

    This issue of Exploratorium Magazine focuses on the topic robotics. It explains how to make a vibrating robotic bug and features articles on robots. Contents include: (1) "Where Robot Mice and Robot Men Run Round in Robot Towns" (Ray Bradbury); (2) "Robots at Work" (Jake Widman); (3) "Make a Vibrating Robotic Bug" (Modesto Tamez); (4) "The Robot…

  11. Walk-Startup of a Two-Legged Walking Mechanism

    Science.gov (United States)

    Babković, Kalman; Nagy, László; Krklješ, Damir; Borovac, Branislav

    There is a growing interest towards humanoid robots. One of their most important characteristic is the two-legged motion - walk. Starting and stopping of humanoid robots introduce substantial delays. In this paper, the goal is to explore the possibility of using a short unbalanced state of the biped robot to quickly gain speed and achieve the steady state velocity during a period shorter than half of the single support phase. The proposed method is verified by simulation. Maintainig a steady state, balanced gait is not considered in this paper.

  12. From RoboNova to HUBO: Platforms for Robot Dance

    Science.gov (United States)

    Grunberg, David; Ellenberg, Robert; Kim, Youngmoo E.; Oh, Paul Y.

    A robot with the ability to dance in response to music could lead to novel and interesting interactions with humans. For example, such a robot could be used to augment live performances alongside human dancers. This paper describes a system enabling humanoid robots to move in synchrony with music. A small robot, the Hitec RoboNova, was initially used to develop smooth sequences of complex gestures used in human dance. The system uses a real-time beat prediction algorithm so that the robot’s movements are synchronized with the audio. Finally, we implemented the overall system on a much larger robot, HUBO, to establish the validity of the smaller RoboNova as a useful prototyping platform.

  13. International Conference on Computational Vision and Robotics

    CERN Document Server

    2015-01-01

    Computer Vision and Robotic is one of the most challenging areas of 21st century. Its application ranges from Agriculture to Medicine, Household applications to Humanoid, Deep-sea-application to Space application, and Industry applications to Man-less-plant. Today’s technologies demand to produce intelligent machine, which are enabling applications in various domains and services. Robotics is one such area which encompasses number of technology in it and its application is widespread. Computational vision or Machine vision is one of the most challenging tools for the robot to make it intelligent.   This volume covers chapters from various areas of Computational Vision such as Image and Video Coding and Analysis, Image Watermarking, Noise Reduction and Cancellation, Block Matching and Motion Estimation, Tracking of Deformable Object using Steerable Pyramid Wavelet Transformation, Medical Image Fusion, CT and MRI Image Fusion based on Stationary Wavelet Transform. The book also covers articles from applicati...

  14. Line Tracking Control of a Two-Wheeled Mobile Robot Using Visual Feedback

    Directory of Open Access Journals (Sweden)

    G. H. Lee

    2013-03-01

    Full Text Available This article presents the development and control of a two-wheeled mobile robot as the base of a human carrier for an amusement/transportation vehicle. The robot has a combined structure of two systems: a line tracking mobile robot and an inverted pendulum system that maintains balance while following a line on the floor. The mobile robot is purposely designed to carry a human operator or humanoid arms. The robot has the capability to follow the line on the floor using visual feedback, as well as maintaining its balance on two wheels. A visual servoing technique allows the robot to follow the line on the floor captured by a camera as the desired trajectory. Controllers are designed to have good line tracking and balancing performance using sensor fusion techniques. Experimental studies involving the robot following a line demonstrate the feasibility of it being an amusement vehicle.

  15. Human motion characteristics in relation to feeling familiar or frightened during an announced short interaction with a proactive humanoid

    Science.gov (United States)

    Baddoura, Ritta; Venture, Gentiane

    2014-01-01

    During an unannounced encounter between two humans and a proactive humanoid (NAO, Aldebaran Robotics), we study the dependencies between the human partners' affective experience (measured via the answers to a questionnaire) particularly regarding feeling familiar and feeling frightened, and their arm and head motion [frequency and smoothness using Inertial Measurement Units (IMU)]. NAO starts and ends its interaction with its partners by non-verbally greeting them hello (bowing) and goodbye (moving its arm). The robot is invested with a real and useful task to perform: handing each participant an envelope containing a questionnaire they need to answer. NAO's behavior varies from one partner to the other (Smooth with X vs. Resisting with Y). The results show high positive correlations between feeling familiar while interacting with the robot and: the frequency and smoothness of the human arm movement when waving back goodbye, as well as the smoothness of the head during the whole encounter. Results also show a negative dependency between feeling frightened and the frequency of the human arm movement when waving back goodbye. The principal component analysis (PCA) suggests that, in regards to the various motion measures examined in this paper, the head smoothness and the goodbye gesture frequency are the most reliable measures when it comes to considering the familiar experienced by the participants. The PCA also points out the irrelevance of the goodbye motion frequency when investigating the participants' experience of fear in its relation to their motion characteristics. The results are discussed in light of the major findings of studies on body movements and postures accompanying specific emotions. PMID:24688466

  16. Robot maps, robot moves, robot avoids

    OpenAIRE

    Farrugia, Claire

    2014-01-01

    Robotics is a cornerstone for this century’s innovations. From robot nurses to your own personal assistant, most robots need to know: ‘where is it?’ ‘Where should it go?’ And ‘how to get there?’ Without answers to these questions a robot cannot do much. http://www.um.edu.mt/think/robot-maps-robot-moves-robot-avoids/

  17. Robotic surgery

    Science.gov (United States)

    Robot-assisted surgery; Robotic-assisted laparoscopic surgery; Laparoscopic surgery with robotic assistance ... Robotic surgery is similar to laparoscopic surgery. It can be performed through smaller cuts than open surgery. ...

  18. Robotic architectures

    CSIR Research Space (South Africa)

    Mtshali, M

    2010-01-01

    Full Text Available In the development of mobile robotic systems, a robotic architecture plays a crucial role in interconnecting all the sub-systems and controlling the system. The design of robotic architectures for mobile autonomous robots is a challenging...

  19. iSpike: a spiking neural interface for the iCub robot

    International Nuclear Information System (INIS)

    Gamez, D; Fidjeland, A K; Lazdins, E

    2012-01-01

    This paper presents iSpike: a C++ library that interfaces between spiking neural network simulators and the iCub humanoid robot. It uses a biologically inspired approach to convert the robot’s sensory information into spikes that are passed to the neural network simulator, and it decodes output spikes from the network into motor signals that are sent to control the robot. Applications of iSpike range from embodied models of the brain to the development of intelligent robots using biologically inspired spiking neural networks. iSpike is an open source library that is available for free download under the terms of the GPL. (paper)

  20. Robot Actors, Robot Dramaturgies

    DEFF Research Database (Denmark)

    Jochum, Elizabeth

    This paper considers the use of tele-operated robots in live performance. Robots and performance have long been linked, from the working androids and automata staged in popular exhibitions during the nineteenth century and the robots featured at Cybernetic Serendipity (1968) and the World Expo...... discourse shapes how we perceive and use technology and also points to the ways in which emerging technologies “refashion our experience of space, time and human being filter through our art works, dreams and fantasies.” This paper considers a survey of robot dramaturgies to demonstrate how performance both...... shapes and reinforces popular awareness and misconceptions of robots. Flyvende Grise’s The Future (2013), Amit Drori’s Savanna (2010), Global Creatures’ King Kong (2013) and Louis Philip Demers’ Blind Robot (2013) each utilize tele-operated robots across a wide range of human and animal morphologies...

  1. A survey on dielectric elastomer actuators for soft robots.

    Science.gov (United States)

    Gu, Guo-Ying; Zhu, Jian; Zhu, Li-Min; Zhu, Xiangyang

    2017-01-23

    Conventional industrial robots with the rigid actuation technology have made great progress for humans in the fields of automation assembly and manufacturing. With an increasing number of robots needing to interact with humans and unstructured environments, there is a need for soft robots capable of sustaining large deformation while inducing little pressure or damage when maneuvering through confined spaces. The emergence of soft robotics offers the prospect of applying soft actuators as artificial muscles in robots, replacing traditional rigid actuators. Dielectric elastomer actuators (DEAs) are recognized as one of the most promising soft actuation technologies due to the facts that: i) dielectric elastomers are kind of soft, motion-generating materials that resemble natural muscle of humans in terms of force, strain (displacement per unit length or area) and actuation pressure/density; ii) dielectric elastomers can produce large voltage-induced deformation. In this survey, we first introduce the so-called DEAs emphasizing the key points of working principle, key components and electromechanical modeling approaches. Then, different DEA-driven soft robots, including wearable/humanoid robots, walking/serpentine robots, flying robots and swimming robots, are reviewed. Lastly, we summarize the challenges and opportunities for the further studies in terms of mechanism design, dynamics modeling and autonomous control.

  2. Dynamic Modeling and Fuzzy Self-Tuning Disturbance Decoupling Control for a 3-DOF Serial-Parallel Hybrid Humanoid Arm

    Directory of Open Access Journals (Sweden)

    Yueling Wang

    2013-01-01

    Full Text Available A unique fuzzy self-tuning disturbance decoupling controller (FSDDC is designed for a serial-parallel hybrid humanoid arm (HHA to implement the throwing trajectory-tracking mission. Firstly, the dynamic model of the HHA is established and the input signal of the throwing process is obtained by studying the throwing process of human's arm. Secondly, the FSDDC, incorporating the disturbance decoupling controller (DDC and the fuzzy logic controller (FLC, is designed to ensure trajectory tracking of the HHA in the presence of uncertainties and disturbances. With the FSDDC method, the HHA system can be decoupled by actively estimating and rejecting the effects of both the internal plant dynamics and external disturbances. The self-tuning parameters are adapted online to improve the performance of the FSDDC; thus, it does not require detailed system parameters of the presented FSDDC. Finally, the controller introduced is compared with a PD controller which is commonly used for the robot manipulators control in industry. The effectiveness of the designed FSDDC is illustrated by simulations.

  3. Pleasant to the Touch: By Emulating Nature, Scientists Hope to Find Innovative New Uses for Soft Robotics in Health-Care Technology.

    Science.gov (United States)

    Cianchetti, Matteo; Laschi, Cecilia

    2016-01-01

    Open your Internet browser and search for videos showing the most advanced humanoid robots. Look at how they move and walk. Observe their motion and their interaction with the environment (the ground, users, target objects). Now, search for a video of your favorite sports player. Despite the undoubtedly great achievements of modern robotics, it will become quite evident that a lot of work still remains.

  4. 4th IFToMM International Symposium on Robotics and Mechatronics

    CERN Document Server

    Laribi, Med; Gazeau, Jean-Pierre

    2016-01-01

    This volume contains papers that have been selected after review for oral presentation at ISRM 2015, the Fourth IFToMM International Symposium on Robotics and Mechatronics held in Poitiers, France 23-24 June 2015. These papers  provide a vision of the evolution of the disciplines of robotics and mechatronics, including but not limited to: mechanism design; modeling and simulation; kinematics and dynamics of multibody systems; control methods; navigation and motion planning; sensors and actuators; bio-robotics; micro/nano-robotics; complex robotic systems; walking machines, humanoids-parallel kinematic structures: analysis and synthesis; smart devices; new design; application and prototypes. The book can be used by researchers and engineers in the relevant areas of robotics and mechatronics.

  5. Landing Control of Foot with Springs for Walking Robots on Rough Terrain

    Directory of Open Access Journals (Sweden)

    Moyuru Yamada

    2009-09-01

    Full Text Available Landing control is one of the important issues for biped walking robot, because robots are expected to walk on not only known flat surfaces but also unknown and uneven terrain for working at various fields. This paper presents a new controller design for a robotic foot to land on unknown terrain. The robotic foot considered in this study equips springs to reduce the impact force at the foot landing. There are two objectives in the landing control; achieving the desired ground reaction force and positioning the foot on unknown terrain. To achieve these two objectives simultaneously by adjusting the foot position, we propose a PI force controller with a desired foot position, which guarantees the robust stability of control system with respect to terrain variance, and exact positioning of the foot to unknown terrain. Simulation results using the Open Dynamics Engine demonstrate the effectiveness of the proposed controller.

  6. Landing Control of Foot with Springs for Walking Robots on Rough Terrain

    Directory of Open Access Journals (Sweden)

    Moyuru Yamada

    2010-02-01

    Full Text Available Landing control is one of the important issues for biped walking robot, because robots are expected to walk on not only known flat surfaces but also unknown and uneven terrain for working at various fields. This paper presents a new controller design for a robotic foot to land on unknown terrain. The robotic foot considered in this study equips springs to reduce the impact force at the foot landing. There are two objectives in the landing control; achieving the desired ground reaction force and positioning the foot on unknown terrain. To achieve these two objectives simultaneously by adjusting the foot position, we propose a PI force controller with a desired foot position, which guarantees the robust stability of control system with respect to terrain variance, and exact positioning of the foot to unknown terrain. Simulation results using the Open Dynamics Engine demonstrate the effectiveness of the proposed controller.

  7. Personality Perception of Robot Avatar Teleoperators in Solo and Dyadic Tasks

    Directory of Open Access Journals (Sweden)

    Paul Adam Bremner

    2017-05-01

    Full Text Available Humanoid robot avatars are a potential new telecommunication tool, whereby a user is remotely represented by a robot that replicates their arm, head, and possible face movements. They have been shown to have a number of benefits over more traditional media such as phones or video calls. However, using a teleoperated humanoid as a communication medium inherently changes the appearance of the operator, and appearance-based stereotypes are used in interpersonal judgments (whether consciously or unconsciously. One such judgment that plays a key role in how people interact is personality. Hence, we have been motivated to investigate if and how using a robot avatar alters the perceived personality of teleoperators. To do so, we carried out two studies where participants performed 3 communication tasks, solo in study one and dyadic in study two, and were recorded on video both with and without robot mediation. Judges recruited using online crowdsourcing services then made personality judgments of the participants in the video clips. We observed that judges were able to make internally consistent trait judgments in both communication conditions. However, judge agreement was affected by robot mediation, although which traits were affected was highly task dependent. Our most important finding was that in dyadic tasks personality trait perception was shifted to incorporate cues relating to the robot’s appearance when it was used to communicate. Our findings have important implications for telepresence robot design and personality expression in autonomous robots.

  8. Robot see, robot maps

    OpenAIRE

    Darmanin, Rachael N.

    2016-01-01

    The term ‘robot’ tends to conjure up images of well-known metal characters like C-3P0, R2-D2, and WALL-E. The robotics research boom has in the end enabled the introduction of real robots into our homes, workspaces, and recreational places. The pop culture icons we loved have now been replaced with the likes of robot vacuums such as the Roomba and home-automated systems for smoke detectors, or WIFI-enabled thermostats, such as the Nest. Nonetheless, building a fully autonomous mobile robot is...

  9. Robot and robot system

    Science.gov (United States)

    Behar, Alberto E. (Inventor); Marzwell, Neville I. (Inventor); Wall, Jonathan N. (Inventor); Poole, Michael D. (Inventor)

    2011-01-01

    A robot and robot system that are capable of functioning in a zero-gravity environment are provided. The robot can include a body having a longitudinal axis and having a control unit and a power source. The robot can include a first leg pair including a first leg and a second leg. Each leg of the first leg pair can be pivotally attached to the body and constrained to pivot in a first leg pair plane that is substantially perpendicular to the longitudinal axis of the body.

  10. Robot engineering

    International Nuclear Information System (INIS)

    Jung, Seul

    2006-02-01

    This book deals with robot engineering, giving descriptions of robot's history, current tendency of robot field, work and characteristic of industrial robot, essential merit and vector, application of matrix, analysis of basic vector, expression of Denavit-Hartenberg, robot kinematics such as forward kinematics, inverse kinematics, cases of MATLAB program, and motion kinematics, robot kinetics like moment of inertia, centrifugal force and coriolis power, and Euler-Lagrangian equation course plan, SIMULINK position control of robots.

  11. Task Refinement for Autonomous Robots using Complementary Corrective Human Feedback

    Directory of Open Access Journals (Sweden)

    Cetin Mericli

    2011-06-01

    Full Text Available A robot can perform a given task through a policy that maps its sensed state to appropriate actions. We assume that a hand-coded controller can achieve such a mapping only for the basic cases of the task. Refining the controller becomes harder and gets more tedious and error prone as the complexity of the task increases. In this paper, we present a new learning from demonstration approach to improve the robot's performance through the use of corrective human feedback as a complement to an existing hand-coded algorithm. The human teacher observes the robot as it performs the task using the hand-coded algorithm and takes over the control to correct the behavior when the robot selects a wrong action to be executed. Corrections are captured as new state-action pairs and the default controller output is replaced by the demonstrated corrections during autonomous execution when the current state of the robot is decided to be similar to a previously corrected state in the correction database. The proposed approach is applied to a complex ball dribbling task performed against stationary defender robots in a robot soccer scenario, where physical Aldebaran Nao humanoid robots are used. The results of our experiments show an improvement in the robot's performance when the default hand-coded controller is augmented with corrective human demonstration.

  12. Biologically-Inspired Control Architecture for Musical Performance Robots

    Directory of Open Access Journals (Sweden)

    Jorge Solis

    2014-10-01

    Full Text Available At Waseda University, since 1990, the authors have been developing anthropomorphic musical performance robots as a means for understanding human control, introducing novel ways of interaction between musical partners and robots, and proposing applications for humanoid robots. In this paper, the design of a biologically-inspired control architecture for both an anthropomorphic flutist robot and a saxophone playing robot are described. As for the flutist robot, the authors have focused on implementing an auditory feedback system to improve the calibration procedure for the robot in order to play all the notes correctly during a performance. In particular, the proposed auditory feedback system is composed of three main modules: an Expressive Music Generator, a Feed Forward Air Pressure Control System and a Pitch Evaluation System. As for the saxophone-playing robot, a pressure-pitch controller (based on the feedback error learning to improve the sound produced by the robot during a musical performance was proposed and implemented. In both cases studied, a set of experiments are described to verify the improvements achieved while considering biologically-inspired control approaches.

  13. Human motion characteristics in relation to feeling familiar or frightened during an announced short interaction with a proactive humanoid

    Directory of Open Access Journals (Sweden)

    Ritta eBaddoura

    2014-03-01

    Full Text Available During an unannounced encounter between two humans and a proactive humanoid (called NAO, we study the dependencies between the human partners’ affective experience (measured via the answers to a questionnaire particularly regarding feeling familiar and feeling frightened, and their arm and head motion (frequency and smoothness using Inertial Measurement Units (IMU. NAO starts and ends its interaction with its partners by non-verbally greeting them hello (bowing and goodbye (moving its arm. The robot is invested with a real and useful task to perform: handing each participant an envelope containing a questionnaire they need to answer. NAO’s behavior varies from one partner to the other (Smooth with X vs. Resisting with Y. The results show high positive correlations between feeling familiar while interacting with the robot and: the frequency and smoothness of the human arm movement when waving back goodbye, as well as the smoothness of the head during the whole encounter. Results also show a strong negative dependency between feeling frightened and the frequency of the human arm movement when waving back goodbye. The Principal Component Analysis (PCA suggests that, in regards to the various motion measures examined in this paper, the head smoothness and the goodbye gesture frequency are the most reliable measures when it comes to considering the familiar experienced by the participants. The PCA also points out the irrelevance of the goodbye motion frequency when investigating the participants’ experience of fear in its relation to their motion characteristics. The results are discussed in light of the major findings of studies on body movements and postures accompanying specific emotions.

  14. Sociological and Biological Insights on How to Prevent the Reduction in Cognitive Activity that Stems from Robots Assuming Workloads in Human–Robot Cooperation

    Directory of Open Access Journals (Sweden)

    Diego Compagna

    2016-09-01

    Full Text Available The reduction of cognitive tasks brought about by new developments in service-robots’ collaboration with humans in working environments has given rise to new challenges as to how to address safety issues. This paper presents insights from biology, cognitive/neural sciences and sociology that can conquer these new challenges. The main focus lies in sociological variables that ensure safe human–robot interaction in working environments rather than addressing biological ones (avoiding bodily harm or purely cognitive ones (avoiding any signals that are outside the human’s sensory comfort zones. We will present an approach on how to integrate behavioral patterns into the robotic system in order to prevent the problem of reduced cognition in relation to essential features, which are necessary for carrying out this pattern in the context of a human–robot interaction with non-humanoid robots (which is the most typical design of robots used in work environments.

  15. Agile and dexterous robot for inspection and EOD operations

    Science.gov (United States)

    Handelman, David A.; Franken, Gordon H.; Komsuoglu, Haldun

    2010-04-01

    The All-Terrain Biped (ATB) robot is an unmanned ground vehicle with arms, legs and wheels designed to drive, crawl, walk and manipulate objects for inspection and explosive ordnance disposal tasks. This paper summarizes on-going development of the ATB platform. Control technology for semi-autonomous legged mobility and dual-arm dexterity is described as well as preliminary simulation and hardware test results. Performance goals include driving on flat terrain, crawling on steep terrain, walking on stairs, opening doors and grasping objects. Anticipated benefits of the adaptive mobility and dexterity of the ATB platform include increased robot agility and autonomy for EOD operations, reduced operator workload and reduced operator training and skill requirements.

  16. Trotting, pacing and bounding by a quadruped robot.

    Science.gov (United States)

    Raibert, M H

    1990-01-01

    This paper explores the quadruped running gaits that use the legs in pairs: the trot (diagonal pairs), the pace (lateral pairs), and the bound (front and rear pairs). Rather than study these gaits in quadruped animals, we studied them in a quadruped robot. We found that each of the gaits that use the legs in pairs can be transformed into a common underlying gait, a virtual biped gait. Once transformed, a single set of control algorithms produce all three gaits, with modest parameter variations between them. The control algorithms manipulated rebound height, running speed, and body attitude, while a low-level mechanism coordinated the behavior of the legs in each pair. The approach was tested with laboratory experiments on a four-legged robot. Data are presented that show the details of the running motion for the three gaits and for transitions from one gait to another.

  17. Modification and Actuator Minimization of the Hip Leg Joint in a Bipedal Robot: A Proposed Design

    Directory of Open Access Journals (Sweden)

    Nirmalya Tripathi

    2014-12-01

    Full Text Available In recent times, there have been numeric applications of Biped Robots. In this paper, a proposed upper leg hip design of a biped was developed taking cost reduction and optimization as factors for consideration. The proposed system introduces a novel method which consists of a vibration reduction (VR DC stepper motor, microcontroller, microprocessor and gearing arrangement. The program in the microprocessor is so designed that it gives a fixed number of cycles/steps to the VR DC stepper motor in clockwise and thereafter in anti-clockwise direction. This turning movement can then be transmitted to the gearing system which precisely moves one upper leg when the VR DC stepper motor moves in clockwise direction, while the other upper leg remains static, and vice-versa. It has been observed that this new proposed system may reduce the cost overhead, weight and the energy consumption incurred by working on a single VR DC stepper motor while conventionally two stepper motors are used to give the motion of the two upper legs in a biped.

  18. Social robots in advanced dementia

    Directory of Open Access Journals (Sweden)

    Meritxell eValentí Soler

    2015-09-01

    Full Text Available Aims: Testing the effect of the experimental robot-based therapeutic sessions for patients with dementia in: a controlled study of parallel groups of nursing home patients comparing the effects of therapy sessions utilizing a humanoid robot (NAO, an animal-shaped robot (PARO, or a trained dog (DOG, with conventional therapy (CONTROL on symptoms of dementia; and an experience for patients who attend a day care center, comparing symptom prevalence and severity before and after sessions utilizing NAO and PARO. Methods: In the nursing home, patients were randomly assigned by blocks, based on dementia severity, to one of the 3 therapeutic groups to compare: CONTROL, PARO and NAO (phase 1 and CONTROL, PARO and DOG (phase 2. In the day care center, all patients received therapy with NAO (phase 1 and PARO (phase 2. Therapy sessions were held 2 days/week for 3 months. Evaluation at baseline and follow-up was carried out by blind raters using: the Global Deterioration Scale (GDS, the Severe Mini Mental State Examination (sMMSE, the Mini Mental State Examination (MMSE, the Neuropsychiatric Inventory (NPI, the Apathy Scale for Institutionalized Patients with Dementia Nursing Home version (APADEM-NH, the Apathy Inventory (AI and the Quality of Life Scale (QUALID. Statistical analysis included descriptive statistics and non parametric tests performed by a blinded investigator. Results: In the nursing home, 101 patients (phase 1 and 110 patients (phase 2 were included. There were no significant differences at baseline. The relevant changes at follow-up were: (phase 1 patients in the robot groups showed an improvement in apathy; patients in NAO group showed a decline in cognition as measured by the MMSE scores, but not the sMMSE; the robot groups showed no significant changes between them; (phase 2 QUALID scores increased in the PARO group. In the day care center, 20 patients (phase 1 and 17 patients (phase 2 were included. The main findings were: (phase 1 imp

  19. Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement

    Science.gov (United States)

    Ivaldi, Serena; Anzalone, Salvatore M.; Rousseau, Woody; Sigaud, Olivier; Chetouani, Mohamed

    2014-01-01

    We hypothesize that the initiative of a robot during a collaborative task with a human can influence the pace of interaction, the human response to attention cues, and the perceived engagement. We propose an object learning experiment where the human interacts in a natural way with the humanoid iCub. Through a two-phases scenario, the human teaches the robot about the properties of some objects. We compare the effect of the initiator of the task in the teaching phase (human or robot) on the rhythm of the interaction in the verification phase. We measure the reaction time of the human gaze when responding to attention utterances of the robot. Our experiments show that when the robot is the initiator of the learning task, the pace of interaction is higher and the reaction to attention cues faster. Subjective evaluations suggest that the initiating role of the robot, however, does not affect the perceived engagement. Moreover, subjective and third-person evaluations of the interaction task suggest that the attentive mechanism we implemented in the humanoid robot iCub is able to arouse engagement and make the robot's behavior readable. PMID:24596554

  20. Motor contagion during human-human and human-robot interaction.

    Directory of Open Access Journals (Sweden)

    Ambra Bisio

    Full Text Available Motor resonance mechanisms are known to affect humans' ability to interact with others, yielding the kind of "mutual understanding" that is the basis of social interaction. However, it remains unclear how the partner's action features combine or compete to promote or prevent motor resonance during interaction. To clarify this point, the present study tested whether and how the nature of the visual stimulus and the properties of the observed actions influence observer's motor response, being motor contagion one of the behavioral manifestations of motor resonance. Participants observed a humanoid robot and a human agent move their hands into a pre-specified final position or put an object into a container at various velocities. Their movements, both in the object- and non-object- directed conditions, were characterized by either a smooth/curvilinear or a jerky/segmented trajectory. These trajectories were covered with biological or non-biological kinematics (the latter only by the humanoid robot. After action observation, participants were requested to either reach the indicated final position or to transport a similar object into another container. Results showed that motor contagion appeared for both the interactive partner except when the humanoid robot violated the biological laws of motion. These findings suggest that the observer may transiently match his/her own motor repertoire to that of the observed agent. This matching might mediate the activation of motor resonance, and modulate the spontaneity and the pleasantness of the interaction, whatever the nature of the communication partner.