Results 191 to 200 of about 56,160 (238)

A Multimodal Dataset for Neurophysiological and AI Applications. [PDF]

Sci Data
Trujillo J, Ferrer-Cascales R, Teruel MA, Ruiz-Robledillo N, Sanchis J, García-Ponsoda S, Panagiotidis-Arrizabalaga A, Albaladejo-Blázquez N, Martínez-Nicolás Á, García-Carrasco J, Reina A, Lavalle A, Maté A, Costa-López B.   +13 more
europepmc   +1 more source

The Modern Numerical and Experimental Methods for the Sound Absorbing Characteristics of Dissipative Sound Absorbing Materials: A Review. [PDF]

Materials (Basel)
Liu R, Zhang Z, Zheng X.
europepmc   +1 more source

Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System. [PDF]

Sensors (Basel)
Wang X, Li C, Cai D, Cui Y.
europepmc   +1 more source

Bio-Inspired Teleoperation Control: Unified Rapid Tracking, Compliant and Safe Interaction. [PDF]

Biomimetics (Basel)
Cheng C, Xiao H, Dai W, Wei Y, Chen Y, Zhang H, Lu H.   +6 more
europepmc   +1 more source

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Composite Learning Variable Impedance Robot Control With Stability and Passivity Guarantees

IEEE Robotics and Automation Letters
Variable impedance control (VIC) is paramount for robots to improve safety and effectiveness in physical human-robot interaction. However, achieving variable target impedance with guaranteed stability is not trivial, particularly under parametric ...
Yongping Pan, Zhiwen Li, Tian Shi, Changyun Wen   +3 more
semanticscholar   +4 more sources

Evolution Strategies Learning With Variable Impedance Control for Grasping Under Uncertainty

IEEE Transactions on Industrial Electronics, 2019
During a robot's interaction with the environment, it is necessary to ensure the safety and robustness of the robot's movements. To improve the safety and adaptiveness of robots in performing complex movement tasks, a novel method called covariance matrix adaptation-evolution strategies (CMA-ES) for learning complex and high-dimensional motor skills is
Yingbai Hu, Xinyu Wu, Peng Geng, Zhijun Li   +3 more
semanticscholar   +4 more sources

Learning variable impedance control

The International Journal of Robotics Research, 2011
One of the hallmarks of the performance, versatility, and robustness of biological motor control is the ability to adapt the impedance of the overall biomechanical system to different task requirements and stochastic disturbances. A transfer of this principle to robotics is desirable, for instance to enable robots to work robustly and safely in ...
Buchli, J., Stulp, F., Theodorou, E., Schaal, S.   +3 more
openaire   +4 more sources

Force-based variable impedance learning for robotic manipulation

Robotics and Autonomous Systems, 2018
In order for robots to successfully carry out manipulation tasks, they require to exploit contact forces and variable impedance control. The conditions of such type of robotic tasks may significantly vary in dynamic environments, which demand robots to ...
Fares J. Abu-Dakka, L. Rozo, D. Caldwell
semanticscholar   +3 more sources