Results 231 to 240 of about 11,571 (267)

Learning Stable State-Dependent Variable Impedance Control for Compliant Manipulation [PDF]

open access: closedIEEE/ASME Transactions on Mechatronics
State-dependent variable impedance control (VIC) has been shown as the necessary skill for compliant and dexterous robot operations. However, introducing a variable impedance law will raise the stability issue of the robot system, which introduces ...
Zhehao Jin   +4 more
core   +3 more sources

Evolution Strategies Learning With Variable Impedance Control for Grasping Under Uncertainty

open access: closedIEEE 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   +3 more
openaire   +2 more sources

Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control

open access: closed2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 2019
During 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
openaire   +2 more sources

Configuration and Force-field Aware Variable Impedance Control with Faster Re-learning

open access: yesJournal of Intelligent & Robotic Systems, 2023
Variable impedance control (VIC) is rapidly becoming an important ingredient for robotic manipulation in unstructured and uncertain environments. In such situations, it is often necessary to rapidly adapt to different impedance levels as per the task ...
Shail V. Jadav   +1 more
openaire   +2 more sources

Deep reinforcement learning-based variable impedance control for grinding workpieces with complex geometry

open access: closedRobotic Intelligence and Automation
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
openaire   +2 more sources

Composite Learning Variable Impedance Robot Control With Stability and Passivity Guarantees

open access: closedIEEE Robotics and Automation Letters, 2023
Yongping Pan 0001   +3 more
openaire   +2 more sources

Variable Impedance Control with Simplex Gradient based Iterative Learning for Human-Robot Collaboration

open access: closed2022 IEEE/SICE International Symposium on System Integration (SII), 2022
Tran Duc Liem   +3 more
openaire   +2 more sources

Iterative learning of variable impedance control for human-robot cooperation

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
In 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
openaire   +1 more source

Hierarchical Learning Based on Visual-Haptic Perception for Robotic Variable Impedance Control

open access: closedIEEE Transactions on Industrial Electronics
Xiang Li 0165   +3 more
openaire   +2 more sources

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