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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| 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 |