Failure-Resilient Multi-Robot Coordination with $k$-Connectivity Constrained Submodular Maximization

Multi-robot coordination is essential in applications such as coverage, target tracking, and information gathering, where robots must jointly select actions to maximize team performance. Submodular maximization provides an effective framework for such coordination, and resilient variants further account for robot failures or adversarial removals.

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