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Multi-agent Coverage Control: From Discrete Assignments to Continuous Multi-agent Distribution Matching

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arxiv 2407.13890 v1 pith:RWVHFRNA submitted 2024-07-18 cs.RO math.OC

classification cs.ROmath.OC
keywords coveragedeploymentdiscreteagentsassignmentcontinuouscontrolfinite
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The multi-agent spatial coverage control problem encompasses a broad research domain, dealing with both dynamic and static deployment strategies, discrete-task assignments, and spatial distribution-matching deployment. Coverage control may involve the deployment of a finite number of agents or a continuum through centralized or decentralized, locally-interacting schemes. All these problems can be solved via a different taxonomy of deployment algorithms for multiple agents. Depending on the application scenario, these problems involve from purely discrete descriptions of tasks (finite loads) and agents (finite resources), to a mixture of discrete and continuous elements, to fully continuous descriptions of the same. Yet, it is possible to find common features that underline all the above formulations, which we aim to illustrate here. By doing so, we aim to point the reader to novel references related to these problems. The short article outline is the following: Static coverage via concurrent area partitioning and assignment; Static coverage as a discrete task assignment; and Continuum task assignment for large-scale swarms.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering

    cs.MA 2025-04 reject novelty 4.0 of 10

    NavEX casts multi-agent deployment in non-convex or uneven terrain as submodular maximization over exemplar clustering with visibility-graph or RRT* distance metrics.

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