Multi-Objective Optimal Trajectory Planning for Robotic Arms Using Deep Reinforcement Learning

This study investigated the trajectory-planning problem of a six-axis robotic arm based on deep reinforcement learning. Taking into account several characteristics of robot motion, a multi-objective optimization approach is proposed, which was based on the motivations of deep reinforcement learning...

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Detalles Bibliográficos
Autores principales: Zhang, Shaobo, Xia, Qinxiang, Chen, Mingxing, Cheng, Sizhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346668/
https://www.ncbi.nlm.nih.gov/pubmed/37447823
http://dx.doi.org/10.3390/s23135974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346668/
https://www.ncbi.nlm.nih.gov/pubmed/37447823
http://dx.doi.org/10.3390/s23135974

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