Task Allocation in Foraging Robot Swarms: The Role of Information Sharing

Lenka Pitonakova, Richard Crowder, Seth Bullock

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Autonomous task allocation is a desirable feature of robot swarms that collect and deliver items in scenarios where congestion, caused by accumulated items or robots, can temporarily interfere with swarm behaviour. In such settings, self-regulation of workforce can prevent unnecessary energy consumption. We explore two types of self-regulation: non-social, where robots become idle upon experiencing congestion, and social, where robots broadcast information about congestion to their team mates in order to socially inhibit foraging. We show that while both types of self-regulation can lead to improved energy efficiency and increase the amount of resource collected, the speed with which information about congestion flows through a swarm affects the scalability of these algorithms.
Original languageEnglish
Title of host publicationArtificial Life XV
Subtitle of host publicationProceedings of The Fifteenth International Conference on the Synthesis and Simulation of Living Systems
EditorsTom Froese
PublisherMassachusetts Institute of Technology (MIT) Press
Pages306-313
Number of pages8
ISBN (Print)9780262339360
DOIs
Publication statusPublished - Jul 2016

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