Creating Better Collision-Free Trajectory for Robot Motion Planning by Linearly Constrained Quadratic Programming

Many algorithms in probabilistic sampling-based motion planning have been proposed to create a path for a robot in an environment with obstacles. Due to the randomness of sampling, they can efficiently compute the collision-free paths made of segments lying in the configuration space with probabilis...

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Detalles Bibliográficos
Autores principales: Liu, Yizhou, Zha, Fusheng, Li, Mantian, Guo, Wei, Jia, Yunxin, Wang, Pengfei, Zang, Yajing, Sun, Lining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381225/
https://www.ncbi.nlm.nih.gov/pubmed/34434099
http://dx.doi.org/10.3389/fnbot.2021.724116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381225/
https://www.ncbi.nlm.nih.gov/pubmed/34434099
http://dx.doi.org/10.3389/fnbot.2021.724116

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