Reinforcement Learning-Based Reactive Obstacle Avoidance Method for Redundant Manipulators

Redundant manipulators are widely used in fields such as human-robot collaboration due to their good flexibility. To ensure efficiency and safety, the manipulator is required to avoid obstacles while tracking a desired trajectory in many tasks. Conventional methods for obstacle avoidance of redundan...

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Detalles Bibliográficos
Autores principales: Shen, Yue, Jia, Qingxuan, Huang, Zeyuan, Wang, Ruiquan, Fei, Junting, Chen, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870767/
https://www.ncbi.nlm.nih.gov/pubmed/35205573
http://dx.doi.org/10.3390/e24020279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870767/
https://www.ncbi.nlm.nih.gov/pubmed/35205573
http://dx.doi.org/10.3390/e24020279

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