Hiroaki Kawashima

Turns out, even with RL, herding fish is harder than it looks: guidance efficacy plummets as school size increases.

Reinforcement learning can effectively control collective animal behavior in the real world, even when individuals frequently ignore the artificial stimulus.

Robots can reliably distinguish between flat and rough terrain in lava tubes with just 70 steps of orientation data, paving the way for adaptive navigation in unstructured environments.

Forget frontier-based methods: this work shows LLMs can guide decentralized robot swarms to explore more effectively.

Achieve precise underwater robot navigation without complex analytical models by learning a control policy from real-world data.