Trajectory planning of redundant parallel mechanism considering motion accuracy based on reinforcement learning

The motion accuracy of the trajectory directly affects the reliability of parallel mechanisms in precision tasks such as micro-assembly. Thus, this paper investigates trajectory planning considering motion accuracy, and uses a (6+3)-degrees of freedom (DOF) kinematically redundant parallel mechanism...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 162; p. 112552
Main Authors:	Zeng, Chen-dong, Qiu, Zhi-cheng, Zhang, Fen-hua, Zhang, Xian-min
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 22.12.2025
Subjects:	Motion accuracy Redundant parallel mechanism Reinforcement learning Trajectory planning Twin delayed deep deterministic policy gradient algorithm Motion accuracy Trajectory planning Redundant parallel mechanism Reinforcement learning Twin delayed deep deterministic policy gradient algorithm
ISSN:	0952-1976
Online Access:	Get full text
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