Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms

Vega, Ricardo, Zhu, Kevin, Mattson, Connor, Brown, Daniel S., Nowzari, Cameron

arXiv.org Artificial Intelligence 

This paper for the first time attempts to bridge the knowledge between chemistry, fluid mechanics, and robot swarms. By forming these connections, we attempt to leverage established methodologies and tools from these these domains to uncover how we can better comprehend swarms. The focus of this paper is in presenting a new framework and sharing the reasons we find it promising and exciting. While the exact methods are still under development, we believe simply laying out a potential path towards solutions that have evaded our traditional methods using a novel method is worth considering. Our results are characterized through both simulations and real experiments on ground robots.

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