This paper presents an application of a physics-based framework for distributed control of autonomous vehicles. The autonomous swarm uses local information to self-organize into dynamic sensing and computation grids during localization of the source of a toxic plume. Using physics of fluid flow, we develop a new plume-tracing algorithm, and then use computational fluid dynamics simulations to show that the new approach outperforms the leading biomimetic competitors for this task.
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