Author

T. Kimoto

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#reinforcement learning Jul 2026

Adaptive Undulatory Locomotion of Snake-like Robots in Dynamic Viscous Environments via Deep Reinforcement Learning

This paper demonstrates how deep reinforcement learning (DRL) enables adaptive locomotion of snake-like robots in dynamically changing viscous environments, overcoming the inherent performance limitations of classical predefined control methods. The lack of direct onboard sensors for fluid properties necessitates formu...

T. Kimoto, A. Yamano, Kohei Honda et al. · arXiv.org · 0 citations

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