Due to the complex interactions between agents, learning multi-agent control policy often
requires a prohibitive amount of data. This paper aims to enable multi-agent systems to …

This paper explores leveraging the vast knowledge encoded in Large Language Models
(LLMs) to tackle pattern formation challenges for swarm robotics systems. A new framework …

Robot swarms hold immense potential for performing complex tasks far beyond the
capabilities of individual robots. However, the challenge in unleashing this potential is the …

Human hands can interact with external objects and perceive their properties. However,
physical distance fundamentally limits these functions and cannot be used for objects out of …