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dc.contributorEscuela de Ingenierias Industrial e Informaticaes_ES
dc.contributor.authorMartín Rico, Francisco
dc.contributor.authorMatellán Olivera, Vicente 
dc.contributor.authorGonzález-Careaga, Rafaela
dc.contributor.authorBarrera González, Pablo
dc.contributor.authorCañas, José María
dc.contributor.otherArquitectura y Tecnologia de Computadoreses_ES
dc.date2006-05-25
dc.date.accessioned2012-11-13T09:22:41Z
dc.date.available2012-11-13T09:22:41Z
dc.date.issued2012-11-13
dc.identifier.citationLecture Notes in Computer Science, 2006es_ES
dc.identifier.urihttp://hdl.handle.net/10612/2000
dc.descriptionP. 708-715es_ES
dc.description.abstractThis paper presents a visual based localization mechanism for a legged robot. Our proposal, fundamented on a probabilistic approach, uses a precompiled topological map where natural landmarks like doors or ceiling lights are recognized by the robot using its on-board camera. Experiments have been conducted using the AIBO Sony robotic dog showing that it is able to deal with noisy sensors like vision and to approximate world models representing indoor of ce environments. The two major contributions of this work are the use of this technique in legged robots, and the use of an active camera as the main sensores_ES
dc.languageenges_ES
dc.publisherSpringeres_ES
dc.subjectInformáticaes_ES
dc.subject.otherLocalizaciónes_ES
dc.subject.otherLiga de robotses_ES
dc.subject.otherRobots móvileses_ES
dc.titleVisual based localization for a Legged Robotes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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