Tsuyoshi Kimoto

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. Traditional control methods exhibit inherent performance limitations in such environments. The fundamental challenge of thi...