Path planning of a manipulator based on an improved P_RRT* algorithm

Aiming to build upon the slow convergence speed and low search efficiency of the potential function-based rapidly exploring random tree star (RRT*) algorithm (P_RRT*), this paper proposes a path planning method for manipulators with an improved P_RRT* algorithm (defined as improved P_RRT*), which is...

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Detalles Bibliográficos
Autores principales: Yi, Junhui, Yuan, Qingni, Sun, Ruitong, Bai, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776557/
https://www.ncbi.nlm.nih.gov/pubmed/35079563
http://dx.doi.org/10.1007/s40747-021-00628-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776557/
https://www.ncbi.nlm.nih.gov/pubmed/35079563
http://dx.doi.org/10.1007/s40747-021-00628-y

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