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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |