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Cao Z.,Beijing University of Chemical Technology | Yin L.,Beijing University of Chemical Technology | Fu Y.,Harbin Institute of Technology | Dai J.S.,Center for Robotics Research
International Journal of Humanoid Robotics | Year: 2016

A significant amount of work has been reported in the area of vision-based stabilization of wheeled robots during the last decade. However, almost all the contributions have not considered the actuator dynamics in the controller design. Considering the unknown parameters of the robot kinematics and dynamics incorporating the actuator dynamics, this paper presents a vision-based robust adaptive controller for the stabilization of a wheeled humanoid robot by using the adaptive backstepping approach. For the controller design, the idea of backstepping is used and the adaptive control technique is applied to treat all parametric uncertainties. Moreover, to attenuate the effect of the external disturbances on control performance, smooth robust compensators are employed. The stability of the proposed control system is analyzed by using Lyapunov theory. Finally, simulation results are given to verify the effectiveness of the proposed controller. © 2016 World Scientific Publishing Company Source


Wei G.,Center for Robotics Research | Stephan F.,French Institute for Advanced Mechanics | Aminzadeh V.,Center for Robotics Research | Wurdemann H.,Center for Robotics Research | And 3 more authors.
Springer Tracts in Advanced Robotics | Year: 2014

This paper presents for the first time an application Investigation of using dexterous robotic hands for deboning operation so as to establish a human-robot co-working platform for cutting, deboning and muscle extraction operation in meat industry. By setting up a test rig consisting of a support and a customized knife integrated with force sensors, and utilizing a modified data glove, manual ham deboning operations are carried out providing essential information and background for the robotic hand design, appropriate force/torque and position sensors identification, and human-robot co-working platform trajectory planning. Principle component analysis method is then employed for trajectory mapping and planning associated with the knife peak coordinates, and concept of force cone is introduced leading to an efficient algorithm for trajectory planning. Further, design and kinematics of a metamorphic hand are investigated laying a background for measuring manipulation and grasp quality of the proposed robotic hand. The above experimental, theoretical, hardware and software preparations finally lead to the applications of using two dexterous robotic hands, i.e. one Shadow C6M left hand and one KCL metamorphic hand to replace human left hand in deboning operation. The experiment thus laid background work for the robotization of meat industry and gave insight into the benchmarking of utilizing dexterous hand in deboning operation constructing a humanrobot co-working hyper-flexible cell. © Springer International Publishing Switzerland 2014. Source


Wei G.,Center for Robotics Research | Stephan F.,French Institute for Advanced Mechanics | Aminzadeh V.,Center for Robotics Research | Dai J.S.,Center for Robotics Research | Gogu G.,French Institute for Advanced Mechanics
Springer Tracts in Advanced Robotics | Year: 2014

This paper presents for the first time an application study of using dexterous robotic hands for deboning operation so as to establish a human-robot co-working platform for cutting, deboning and muscle extraction operation in meat industry. By setting up a test rig consisting of a support and a customized knife integrated with force sensors and utilizing a modified data glove, manual ham deboning operations are carried out providing essential information and background for the robotic hand design, appropriate force/torque and position sensors identification, and human-robot co-working platform trajectory planning. Principle component analysis method is then employed for trajectory mapping and planning associated with the knife peak coordinates, and concept of force cone is introduced leading to an efficient algorithm for trajectory planning. Further, design and kinematics of a metamorphic hand are investigated laying a background for measuring manipulation and grasp quality of the proposed robotic hand. The above experimental, theoretical, hardware and software preparations finally lead to the applications of using two dexterous robotic hands, i.e. one Shadow C6M left hand and one KCL G4 metamorphic hand to replace human left hand in deboning operation. The experiment thus laid background work for the robotization of meat industry and gave insight into the benchmarking of utilizing dexterous hand in deboning operation constructing a human-robot co-working hyper-flexible cell. © Springer International Publishing Switzerland 2014. Source


Deters C.,Center for Robotics Research | Wurdemann H.A.,Center for Robotics Research | Dai J.S.,Center for Robotics Research | Seneviratne L.D.,Center for Robotics Research | Althoefer K.,Center for Robotics Research
Advances in Reconfigurable Mechanisms and Robots I | Year: 2012

This paper investigates the use of an agent based assembly strategy for a wind turbine hub. The manual assembly procedure for a wind turbine is presented. The hub parts are constantly optimised and therefore a fully automated assembly line requires continously reprogramming. Thus, a new reconfigurable assembly system is introduced which is flexible and self-adaptive. The methodology of implementing an intelligent agent for designing the assembly strategy for the wind generator hub and the algorithm for the optimal task sequence are described. This reconfigurable automation runs a Partial Order Planning algorithm in real-time using Beckhoff TwinCAT® 3. © Springer-Verlag 2012. Source


Liu H.,Center for Robotics Research | Nguyen K.C.,University Pierre and Marie Curie | Perdereau V.,University Pierre and Marie Curie | Bimbo J.,Center for Robotics Research | And 5 more authors.
Autonomous Robots | Year: 2015

In this paper we introduce a novel contact-sensing algorithm for a robotic fingertip which is equipped with a 6-axis force/torque sensor and covered with a deformable rubber skin. The design and the sensing algorithm of the fingertip for effective contact information identification are introduced. Validation tests show that the contact sensing fingertip can estimate contact information, including the contact location on the fingertip, the direction and the magnitude of the friction and normal forces, the local torque generated at the surface, at high speed (158–242 Hz) and with high precision. Experiments show that the proposed algorithm is robust and accurate when the friction coefficient $$\le $$≤1. Obtaining such contact information in real-time are essential for fine object manipulation. Using the contact sensing fingertip for surface exploration has been demonstrated, indicating the advantage gained by using the identified contact information from the proposed contact-sensing method. © 2015, Springer Science+Business Media New York. Source

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