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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 HusbandsWe 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.
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- Published
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MIT PressPages
8.0Presentation Type
- paper
Event name
Proceedings Artificial Life VIIIEvent type
conferenceISBN
0-262-69281-3Department affiliated with
- Informatics Publications
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- No
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- Yes
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K StandishLegacy Posted Date
2012-02-06Usage metrics
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