Gait Optimization Method for Humanoid Robots Based on Parallel Comprehensive Learning Particle Swarm Optimizer Algorithm

To improve the fast and stable walking ability of a humanoid robot, this paper proposes a gait optimization method based on a parallel comprehensive learning particle swarm optimizer (PCLPSO). Firstly, the key parameters affecting the walking gait of the humanoid robot are selected based on the natu...

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Detalles Bibliográficos
Autores principales: Tao, Chongben, Xue, Jie, Zhang, Zufeng, Cao, Feng, Li, Chunguang, Gao, Hanwen
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/PMC7843375/
https://www.ncbi.nlm.nih.gov/pubmed/33519412
http://dx.doi.org/10.3389/fnbot.2020.600885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843375/
https://www.ncbi.nlm.nih.gov/pubmed/33519412
http://dx.doi.org/10.3389/fnbot.2020.600885

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