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Evolving Team Behaviour for Real Robots

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posted on 2023-06-08, 07:02 authored by Matt Quinn, Lincoln Smith, Giles Mayley, Phil HusbandsPhil Husbands
We report on recent work in which we employed artificial evolution to design neural network con- trollers for small, homogeneous teams of mobile autonomous robots. The robots are evolved to perform a formation movement task from ran- dom starting positions, equipped only with in- frared sensors. The dual constraints of homogene- ity and minimal sensors make this a non-trivial task. We describe the behaviour of a successful evolved team in which robots adopt and main- tain functionally distinct roles in order to achieve the task. We believe this to be the first example of the use of artificial evolution to design coordi- nated, cooperative behaviour for real robots.

History

Publication status

  • Published

Publisher

MIT Press

Pages

8.0

Presentation Type

  • paper

Event name

Proceedings Artificial Life VIII

Event type

conference

ISBN

0-262-69281-3

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Editors

K Standish

Legacy Posted Date

2012-02-06

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