Dynamic Environment Adaptation in Biped Robots: A Reinforcement Learning Approach
This study explores the integration of rhythmic control mechanisms and latent visual encoding to enhance bipedal locomotion in complex environments. While model-free reinforcement learning has shown effectiveness in acquiring locomotion skills, the high dimensionality of visual inputs often leads to...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11145013/ |
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