A systematic evaluation of EEG electrode geometry for enhanced signals: an experimental approach. [PDF]
Sci RepRazaghi Z +4 more
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Adaptive virtual impedance control strategy based on IWOA-fuzzy PID and its application to reactive power sharing in islanded microgrids. [PDF]
Sci RepHou Y.
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Lower resting-state EEG mean eigenvector centrality is associated with higher math anxiety. [PDF]
Front Hum NeurosciPavlova A, Adamovich T, Malykh S.
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The equilibrium point hypothesis revisited: why threshold control does not explain human movement. [PDF]
Exp Brain ResMangalam M, Stergiou N.
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Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks [PDF]
IEEE Robotics and Automation Letters, 2021 Accepted by IEEE Robotics and Automation Letters.
Liting Sun, Zhian Kuang, Xiang Zhang
exaly +3 more sources
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Learning variable impedance control
International Journal of Robotics Research, 2011One 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 ...
Freek Stulp +2 more
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Iterative learning of variable impedance control for human-robot cooperation
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016In this study, we propose a novel iterative learning scheme, which generates time-series data comprising the impedance value for human-robot cooperative work, where the human operator moves the end-effector from an initial position to a goal position.
Tasuku Yamawaki +2 more
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Evolution Strategies Learning With Variable Impedance Control for Grasping Under Uncertainty
IEEE Transactions on Industrial Electronics, 2019During 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 +3 more
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Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control
2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 2019During the initial trials of a manipulation task, humans tend to keep their arms stiff in order to reduce the effects of any unforeseen disturbances. After a few repetitions, humans perform the task accurately with much lower stiffness. Research in human motor control indicates that this behavior is supported by learning and continuously revising ...
Michael J. Mathew +5 more
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Purpose This paper aims to design a deep reinforcement learning (DRL)-based variable impedance control policy that supports stability analysis for robot force tracking in complex geometric environments. Design/methodology/approach The DRL-based variable impedance controller explores and pre-learns the optimal policy for impedance parameter tuning in ...
Yanghong Li +5 more
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