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Applying Evolutionary Optimisation to Robot Obstacle Avoidance

Olivier Pauplin·Jean Louchet·Evelyne Lutton·Michel Parent
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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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Olivier Pauplin, Jean Louchet, Evelyne Lutton, Michel Parent. 2005-10-25. Applying Evolutionary Optimisation to Robot Obstacle Avoidance. https://arxiv.org/abs/cs/0510076

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