DocumentCode
2473607
Title
Multiagent coverage algorithms with gossip communication: Control systems on the space of partitions
Author
Frasca, Paolo ; Carli, Ruggero ; Bullo, Francesco
Author_Institution
Dipt. di Mat., Politec. di Torino, Turin, Italy
fYear
2009
fDate
10-12 June 2009
Firstpage
2228
Lastpage
2235
Abstract
Deployment, coverage and partitioning are fundamental tasks for robotic networks. Recently proposed algorithms achieve these tasks under a critical assumption: information is exchanged synchronously among all agents and long-range communication is possibly required. This work proposes novel deployment and partitioning algorithms that require only asynchronous pairwise (so-called gossip) communication. Which robot pair communicates at any given time may be selected deterministically or randomly. A key novel idea is the description of the coverage control problem as a control system on the space of partitions - in other words, we study the evolution of the regions assigned to each agent, rather than the evolution of the agents´ positions. The novel gossip algorithms are shown to converge to multicenter Voronoi partitions through various results of independent interest: we establish the compactness of the space of partitions, the continuity of certain geometric maps (e.g., the Voronoi and the centroid maps), and two convergence theorems for switching dynamical systems on metric spaces.
Keywords
computational geometry; convergence; multi-robot systems; time-varying systems; Voronoi map; asynchronous pairwise communication; centroid map; control systems; convergence theorems; coverage control problem; geometric maps; gossip communication; metric spaces; multiagent coverage algorithms; multicenter Voronoi partitions; partition space; partitioning algorithms; robotic networks; switching dynamical systems; Communication system control; Control systems; Partitioning algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160494
Filename
5160494
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