An Integrated Tracking Control Approach Based on Reinforcement Learning for a Continuum Robot in Space Capture Missions-Reference-Cited by-同舟云学术

An Integrated Tracking Control Approach Based on Reinforcement Learning for a Continuum Robot in Space Capture Missions

Published:2022-09 Issue:5 Volume:35 Page:
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Jiang Da¹,Cai Zhiqin²,Liu Zhongzhen¹,Peng Haijun³,Wu Zhigang⁴

Affiliation:

1. Ph.D. Student, Dept. of Engineering Mechanics, Dalian Univ. of Technology, Dalian 116023, PR China.

2. Professor, Dept. of Engineering Mechanics, Dalian Univ. of Technology, Dalian 116023, PR China (corresponding author).

3. Professor, Dept. of Engineering Mechanics, Dalian Univ. of Technology, Dalian 116023, PR China.

4. Professor, State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian Univ. of Technology, Dalian 116023, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0001426

Reference37 articles.

1. Design of a Reconfigurable Parallel Continuum Robot With Tendon-Actuated Kinematic Chains

2. Continuum Robots for Medical Applications: A Survey

3. Modeling and Self-Learning Soft-Grasp Control for Free-Floating Space Manipulator During Target Capturing Using Variable Stiffness Method

4. Model Predictive Control in Aerospace Systems: Current State and Opportunities

5. Fabio M. T. Felix G. Michael and P. Jan. 2018. “Domain randomization for simulation-based policy optimization with transferability assessment.” In Proc. Conf. on Robot Learning 700–713. Seattle: Amazon.

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