Unifying Geometric, Probabilistic, and Potential Field Approaches to Multi-robot Coverage Control

DOI10.1007/978-3-642-19457-3_2zbMath1250.93090OpenAlexW195338804WikidataQ56419787 ScholiaQ56419787MaRDI QIDQ2914897

Jean-Jacques E. Slotine, Mac Schwager, Daniela Rus

Publication date: 21 September 2012

Published in: Springer Tracts in Advanced Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-19457-3_2

zbMATH Keywords

artificial potential fieldsprobabilistic modelsconsensus problemsVoronoi partitionsmulti-robot coverage controlnon-consensus problemsoptimization of a nonconvex cost function.

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Automated systems (robots, etc.) in control theory (93C85)

Related Items (5)

Problem of uniform deployment on a line segment for second-order agents ⋮ A robust-adaptive fuzzy coverage control for robotic swarms ⋮ Supervised coverage control of multi-agent systems ⋮ A swarm-based approach to dynamic coverage control of multi-agent systems ⋮ Hybrid online learning control in networked multiagent systems: A survey

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