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In this work we establish a simple yet effective strategy, based on optimaltransport theory, for enabling a group of robots to accomplish complex tasks,such as shape formation and assembly. We demonstrate the feasibility of thisapproach and rigorously prove collision avoidance and convergence properties ofthe proposed algorithms.

Collective motion planning for a group of robots using intermittent diffusion