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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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https://hal.inria.fr/inria-00000494
Contributor : Olivier Pauplin <>
Submitted on : Monday, October 24, 2005 - 11:24:14 AM
Last modification on : Thursday, March 5, 2020 - 4:49:10 PM
Document(s) archivé(s) le : Thursday, April 1, 2010 - 10:53:29 PM

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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. ⟨inria-00000494⟩

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