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dc.contributor.authorMartínez Martín, Ester
dc.contributor.authorEscrig Monferrer, María Teresa
dc.contributor.authordel Pobil, Angel P.
dc.date.accessioned2014-03-04T08:45:27Z
dc.date.available2014-03-04T08:45:27Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10234/85210
dc.description.abstractOn the way to autonomous service robots, spatial reasoning plays a main role since it properly deals with problems involving uncertainty. In particular, we are interested in knowing people's pose to avoid collisions. With that aim, in this paper, we present a qualitative acceleration model for robotic applications including representation, reasoning and a practical application.ca_CA
dc.format.extent7 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherUniversidad de Salamancaca_CA
dc.relation.isPartOfAdvances in distributed computing and artificial intelligence journal (ADCAIJ), vol. 1, No 5 (2013), p. 17-23ca_CA
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Spain*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectModel-based reasoningca_CA
dc.subjectQualitative reasoningca_CA
dc.subjectSpatial reasoningca_CA
dc.subjectRazonamiento basado en modelosca_CA
dc.subjectRazonamiento cualitativoca_CA
dc.subjectRazonamiento espacialca_CA
dc.titleA Qualitative Acceleration Model Based on Intervalsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10393ca_CA


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Attribution-NonCommercial-ShareAlike 3.0 Spain
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Spain