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Conference Papers Year : 2004

Applying Evolutionary Optimisation to Robot Obstacle Avoidance

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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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Dates and versions

inria-00000494 , version 1 (24-10-2005)

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

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