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Loss of distributed coverage using lazy agents operating under discrete, local, event-triggered communication

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

In the context of continuous surveillance of a spatial region, this paper investigates a practically-relevant scenario where robotic sensors are introduced asynchronously and inter-robot communication is discrete, event-driven, local and asynchronous. The robots are assumed to be lazy; i.e., they seek to minimize their area of responsibility by equipartitioning the domain to be covered. We construct a non-trivial example which shows that coverage guarantees for a given algorithm might be sensitive to the number of robots and, therefore, may not scale in obvious ways. It also suggests that when such algorithms are to be verified and validated prior to field deployment, the number of robots or sensors used in test scenarios should match that deployed on the field.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems
PublisherAssociation for Computing Machinery (ACM)
Pages2574-2576
Number of pages3
Publication statusPublished - 2023
Externally publishedYes
EventInternational Conference on Autonomous Agents and Multiagent Systems 2023 - London, United Kingdom
Duration: 29 May 20232 Jun 2023
Conference number: 22nd
https://dl.acm.org/doi/proceedings/10.5555/3545946 (Proceedings)
https://aamas2023.soton.ac.uk/ (Website)

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN (Print)1548-8403

Conference

ConferenceInternational Conference on Autonomous Agents and Multiagent Systems 2023
Abbreviated titleAAMAS 2023
Country/TerritoryUnited Kingdom
CityLondon
Period29/05/232/06/23
Internet address

Keywords

  • Distributed coverage
  • gossip-based communication
  • loss of coverage

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