Novelty Detection for Robot Neotaxis

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dc.creatorMarsland, Stephen
dc.creatorNehmzow, Ulrich
dc.creatorShapiro, Jonathan
dc.date2000-06-02
dc.date.accessioned2026-07-07T03:16:15Z
dc.date.available2026-07-07T03:16:15Z
dc.descriptionThe ability of a robot to detect and respond to changes in its environment is potentially very useful, as it draws attention to new and potentially important features. We describe an algorithm for learning to filter out previously experienced stimuli to allow further concentration on novel features. The algorithm uses a model of habituation, a biological process which causes a decrement in response with repeated presentation. Experiments with a mobile robot are presented in which the robot detects the most novel stimulus and turns towards it (`neotaxis').
dc.description7 pages, 5 figures. In Proceedings of the Second International Conference on Neural Computation, 2000
dc.identifierhttps://arxiv.org/abs/cs/0006005
dc.identifierhttp://arxiv.org/abs/cs/0006005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30282
dc.subjectRobotics
dc.subjectNeural and Evolutionary Computing
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectI.2.6
dc.titleNovelty Detection for Robot Neotaxis
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