Review on Peg-in-Hole Insertion Technology Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Review on Peg-in-Hole Insertion Technology Based on Reinforcement Learning

Published:2023-11-17 Issue: Volume:36 Page:6688-6695
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Shen Liancheng¹,Su Jianhua²,Zhang Xiaodong³

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences,Beijing,China

2. Institute of Automation, Chinese Academy of Sciences,Beijing,China

3. Institute of Spacecraft System Engineering, China Academy of Space Technology,Beijing,China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450390.pdf?arnumber=10450390

Reference67 articles.

1. Precise Robotic Assembly for Large-Scale Objects Based on Automatic Guidance and Alignment

2. Visual-Based Automation of Peg-in-Hole Microassembly Process

3. Quasi-Static Assembly of Compliantly Supported Rigid Parts

4. Compare contact model-based control and contact model-free learning: A survey of robotic peg-in-hole assembly strategies;Xu;arXiv preprint,2019

5. An assembly process modeling and analysis for robotic multiple peg-in-hole;Fei,2003

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