Applying Evolutionary Optimisation to Robot Obstacle Avoidance

Abstract : This paper presents an artificial evolutionbased method for stereo image analysis and its application to real-time obstacle detection and avoidance for a mobile robot. It uses the Parisian approach, which consists here in splitting the representation of the robot's environment into a large number of simple primitives, the "flies", which are evolved following a biologically inspired scheme and give a fast, low-cost solution to the obstacle detection problem in mobile robotics.
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Communication dans un congrès
ISCIIA 2004, Dec 2004, Haikou, Chine, 2004
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Contributeur : Olivier Pauplin <>
Soumis le : lundi 24 octobre 2005 - 11:24:14
Dernière modification le : vendredi 25 mai 2018 - 12:02:03
Document(s) archivé(s) le : jeudi 1 avril 2010 - 22:53:29

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Olivier Pauplin, Jean Louchet, Evelyne Lutton, Michel Parent. Applying Evolutionary Optimisation to Robot Obstacle Avoidance. ISCIIA 2004, Dec 2004, Haikou, Chine, 2004. 〈inria-00000494〉

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