Abstract
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.
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