Two-Stage Learning of CPG and Postural Reflex Toward Quadruped Locomotion on Uneven Terrain With Simple Reward

Locomotion control for quadruped robots has been extensively studied through various methodologies, including model-based, learning-based, and bio-inspired approaches. The integration of these methods is increasingly recognized as a powerful strategy for enhancing locomotion performance. Among them,...

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Κύριοι συγγραφείς:	Ryosei Seto, Guanda Li, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2025-01-01
Σειρά:	IEEE Access
Θέματα:	Central pattern generator deep reinforcement learning postural reflex quadrupedal robots
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/11036717/
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