Open-ended On-board Evolutionary Robotics for Robot Swarms

Guy Baele Nicolas Bredeche 1, 2, 3 Evert Haasdijk Steven Maere Niko Michiels Yves Van de Peer 4 Thomas Schmickl Christopher Schwarzer Ronald Thenius
1 TANC - Algorithmic number theory for cryptology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France, X - École polytechnique, CNRS - Centre National de la Recherche Scientifique : UMR7161
3 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : The SYMBRION project stands at the crossroads of Artificial Life and Evolutionary Robotics: a swarm of real robots undergoes online evolution by exchanging information in a decentralized Evolutionary Robotics Scheme: the diffusion of each individual's genotype depends both on its ability to survive in an unknown environment as well as its ability to maximize mating opportunities during its lifetime, which suggests an implicit fitness. This paper presents early research and prospective ideas in the context of large-scale swarm robotics projects, focusing on the open-ended evolutionary approach in the SYMBRION project. One key issue of this work is to perform on-board evolution in a spatially distributed population of robots. A real-world experiment is also described which yields important considerations regarding open-ended evolution with real autonomous robots.
Type de document :
Communication dans un congrès
Congress on Evolutionary Computation (CEC 2009), 2009, Trondheim, Norway. 2009
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https://hal.inria.fr/inria-00413274
Contributeur : Nicolas Bredeche <>
Soumis le : jeudi 3 septembre 2009 - 16:15:15
Dernière modification le : jeudi 10 mai 2018 - 02:06:54

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  • HAL Id : inria-00413274, version 1

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Guy Baele, Nicolas Bredeche, Evert Haasdijk, Steven Maere, Niko Michiels, et al.. Open-ended On-board Evolutionary Robotics for Robot Swarms. Congress on Evolutionary Computation (CEC 2009), 2009, Trondheim, Norway. 2009. 〈inria-00413274〉

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