非対称相互作用により動的秩序を生み出す群ロボット

抄録

Swarm robotic systems have an advantage that they can execute difficult tasks that cannot be achieved by using a single robot. Self-organization is a useful method to control swarm robots because it enables to create collective behaviors from local interactions of agents that perform simple behavior. We previously proposed a simple model for self-organization that is based on asymmetric interactions, and demonstrated via simulation that various non-trivial patterns emerge. In this study, we examine the applicability of the proposed model to a swarm robotic system. As a first step, we developed five mobile agents and demonstrated via real-world experiments that they can reproduce simulation results.