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...

Celý popis

Podrobná bibliografia

Vydané v:	Engineering applications of artificial intelligence Ročník 162; s. 112552
Hlavní autori:	Zeng, Chen-dong, Qiu, Zhi-cheng, Zhang, Fen-hua, Zhang, Xian-min
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 22.12.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!