Study on Virtual Training Platform for Reinforcement Learning of Space Manipulator-Reference-Cited by-同舟云学术

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Study on Virtual Training Platform for Reinforcement Learning of Space Manipulator

Published:2023-07-21 Issue: Volume:16 Page:73-77
ISSN:
Container-title:2023 International Conference on Service Robotics (ICoSR)
language:
Short-container-title:

Author:

Yang Shuaibin¹,Lu Shan²,Li Mingxiang³,Hou Yueyang²,Zhang Wenjing²,Pan Binfeng¹

Affiliation:

1. School of Astronautics, Northwestern Polytechnical University,National Key Laboratory of Aerospace Flight Dynamics,Xian,China

2. Shanghai Aerospace Control Technology Institute,Shanghai,China

3. Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10429036/10429037/10429801.pdf?arnumber=10429801

Reference10 articles.

1. Constrained motion planning of free-float dual-arm space manipulator via deep reinforcement learning

2. Flexible online planning based residual space object de-spinning for dual-arm space-borne maintenance

3. Robot Arm Control Method of Moving Below Object Based on Deep Reinforcement Learning

4. Active object tracking of free floating space manipulators based on deep reinforcement learning

5. Simulation of Robotic Arm Grasping Control Based on Proximal Policy Optimization Algorithm

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