Research on 3C compliant assembly strategy method of manipulator based on deep reinforcement learning-Reference-Cited by-同舟云学术

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Research on 3C compliant assembly strategy method of manipulator based on deep reinforcement learning

Published:2024-11 Issue: Volume:119 Page:109605
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Ma Hang,Zhang Yuhang,Li Ziyang,Zhang Jiaqi,Wu Xibao,Chen Wenbai^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. Analysis on the application of logistics robot solutions in the 3C electronics industry;Fang;Logist Technol Appl,2022

2. Development trend of industrial robots and their application in 3C electronics manufacturing;Changfeng;Robot Technol Appl,2015

3. Application of robot technology in the 3C industry;Fengjiao;Robot Technol Appl,2016

4. Development of manipulation planning algorithm for a dual-arm robot assembly task;You,2012

5. Self-configuring robot path planning with obstacle avoidance via deep reinforcement learning;Sangiovanni;IEEE Control Syst. Lett.,2021

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