Hybrid Bipedal Locomotion Based on Reinforcement Learning and Heuristics

Locomotion control has long been vital to legged robots. Agile locomotion can be implemented through either model-based controller or reinforcement learning. It is proven that robust controllers can be obtained through model-based methods and learning-based policies have advantages in generalization...

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Detalles Bibliográficos
Autores principales: Wang, Zhicheng, Wei, Wandi, Xie, Anhuan, Zhang, Yifeng, Wu, Jun, Zhu, Qiuguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611364/
https://www.ncbi.nlm.nih.gov/pubmed/36296041
http://dx.doi.org/10.3390/mi13101688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611364/
https://www.ncbi.nlm.nih.gov/pubmed/36296041
http://dx.doi.org/10.3390/mi13101688

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