Applying Evolutionary Optimisation to Robot Obstacle Avoidance

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dc.creatorPauplin, Olivier
dc.creatorLouchet, Jean
dc.creatorLutton, Evelyne
dc.creatorParent, Michel
dc.date2005-10-25
dc.date.accessioned2026-07-07T06:46:18Z
dc.date.available2026-07-07T06:46:18Z
dc.descriptionThis 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.
dc.identifierhttps://arxiv.org/abs/cs/0510076
dc.identifierhttp://arxiv.org/abs/cs/0510076
dc.identifierDans ISCIIA 2004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/103291
dc.subjectArtificial Intelligence
dc.subjectRobotics
dc.titleApplying Evolutionary Optimisation to Robot Obstacle Avoidance
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