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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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 162; S. 112552
Hauptverfasser:	Zeng, Chen-dong, Qiu, Zhi-cheng, Zhang, Fen-hua, Zhang, Xian-min
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 22.12.2025
Schlagworte:	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-Zugang:	Volltext
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