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.

翻译：本文首次尝试在化学、流体力学与机器人集群之间建立知识桥梁。通过构建这些联系，我们尝试利用这些领域已建立的方法与工具，揭示如何更好地理解集群行为。本文核心在于提出一种新框架，并阐述我们认为其具有前景与启发性的原因。尽管具体方法仍在开发中，但我们相信，仅以全新方法为那些传统方法未能解决的难题勾勒可能路径，便已值得探讨。我们通过仿真与地面机器人真实实验对结果进行了验证。