Quadruped Robot Locomotion Based on Deep Learning Rules
This research presents a reinforcement learning framework for stable quadruped locomotion using Proximal Policy Optimization (PPO). We address critical challenges in articulated robot control—including mechanical complexity and trajectory instability by implementing a 12-degree-of-freedom model in P...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-07-01
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| Col·lecció: | Engineering Proceedings |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2673-4591/87/1/100 |
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