Mostrar el registro sencillo del ítem

dc.contributorEscuela de Ingenierias Industrial, Informática y Aeroespaciales_ES
dc.contributor.authorMartín Rico, Francisco
dc.contributor.authorMatellán Olivera, Vicente 
dc.contributor.authorCañas, José María
dc.contributor.authorBarrera González, Pablo
dc.contributor.otherArquitectura y Tecnologia de Computadoreses_ES
dc.date2005-07-18
dc.date.accessioned2012-11-13T09:53:54Z
dc.date.available2012-11-13T09:53:54Z
dc.date.issued2012-11-13
dc.identifier.citationRoboCup Symposium, Julio, 2005, Osaka, Japónes_ES
dc.identifier.urihttp://hdl.handle.net/10612/2007
dc.description.abstractThis paper presents a visual based localization mechanism for a legged robot in indoor office environments. Our proposal is a probabilistic approach which uses partially observable Markov decision processes. We use 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 office environments. The major contributions of this work is the use of an active vision as the main input and localization in not-engineered environmentses_ES
dc.languageenges_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/conferenceObjectes_ES
dc.type.otherinfo:eu-repo/semantics/lecturees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem