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
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
3 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
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
Liste complète des métadonnées
Contributeur : Nicolas Bredeche <>
Soumis le : jeudi 3 septembre 2009 - 16:15:15
Dernière modification le : mercredi 23 janvier 2019 - 10:29:24


  • HAL Id : inria-00413274, version 1



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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