Kohei Honda

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

Robot learning, particularly through vision–language–action (VLA) models, has rapidly improved the ability of robots to execute instructed tasks. However, the current mainstream paradigm of robot learning largely depends on one‐way instruction from humans to robots, lacking a cyc...

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...