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Task allocation in foraging robot swarms: the role of information sharing

Task allocation in foraging robot swarms: the role of information sharing
Task allocation in foraging robot swarms: the role of information sharing
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.
306-313
MIT Press
Pitonakova, Lenka
ef806152-a9c0-4075-806d-c75f0d3f7bbb
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Gershenson, Carlos
Froese, Tom
Siqueiros, Jesus
Aguilar, Wendy
Izquierdo, Eduardo J.
Sayama, Hiroki
Pitonakova, Lenka
ef806152-a9c0-4075-806d-c75f0d3f7bbb
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Gershenson, Carlos
Froese, Tom
Siqueiros, Jesus
Aguilar, Wendy
Izquierdo, Eduardo J.
Sayama, Hiroki

Pitonakova, Lenka, Crowder, Richard and Bullock, Seth (2016) Task allocation in foraging robot swarms: the role of information sharing. Gershenson, Carlos, Froese, Tom, Siqueiros, Jesus, Aguilar, Wendy, Izquierdo, Eduardo J. and Sayama, Hiroki (eds.) In Proceedings of the Artificial Life Conference 2016. MIT Press. pp. 306-313 . (doi:10.7551/978-0-262-33936-0-ch053).

Record type: Conference or Workshop Item (Paper)

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.

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More information

Submitted date: 29 February 2016
Accepted/In Press date: 25 March 2016
Published date: 1 July 2016
Venue - Dates: International Conference on the Synthesis and Simulation of Living Systems, Mexico, 2016-07-03 - 2016-07-07
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 398382
URI: http://eprints.soton.ac.uk/id/eprint/398382
PURE UUID: f0304537-4b38-43f5-9b50-e9c114658fb5
ORCID for Lenka Pitonakova: ORCID iD orcid.org/0000-0003-3633-7302

Catalogue record

Date deposited: 25 Jul 2016 10:20
Last modified: 17 Jul 2020 16:30

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Contributors

Author: Lenka Pitonakova ORCID iD
Author: Richard Crowder
Author: Seth Bullock
Editor: Carlos Gershenson
Editor: Tom Froese
Editor: Jesus Siqueiros
Editor: Wendy Aguilar
Editor: Eduardo J. Izquierdo
Editor: Hiroki Sayama

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