Learning-Based Optimal Impedance Control for Space Manipulator Contact Tasks-Reference-Cited by-同舟云学术

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Learning-Based Optimal Impedance Control for Space Manipulator Contact Tasks

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Control, Automation and Robotics (ICCAR)
language:
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Author:

Wu Han¹,Sun Kaipeng²,Hu Qinglei¹,Shi Yongxia³,Zheng Jianying¹,Wang Jiawen²

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University,Beijing,China

2. Shanghai Institute of Satellite Engineering, Shanghai Academy of Spaceflight Technology,Shanghai,China

3. City University of Hong Kong,Department of Electrical Engineering,Hong Kong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10151696/10151697/10151722.pdf?arnumber=10151722

Reference23 articles.

1. Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot–Environment Interaction

2. Impedance adaptation for optimal robot–environment interaction

3. Line-of-sight Tracking Control Scheme for Integrated Satellite with CMGs Vibration Isolation Platform

4. Optimized Impedance Adaptation of Robot Manipulator Interacting With Unknown Environment

5. Position/force control of robot manipulators using reinforcement learning

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