Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48145
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dc.contributor.authorMathews, Zenonen_US
dc.contributor.authorBadia, Sergi Bermúdez Ien_US
dc.contributor.authorVerschure, Paul F M Jen_US
dc.date.accessioned2018-11-23T19:17:31Z-
dc.date.available2018-11-23T19:17:31Z-
dc.date.issued2010en_US
dc.identifier.isbn9783642134272-
dc.identifier.issn1860-949Xen_US
dc.identifier.urihttp://hdl.handle.net/10553/48145-
dc.description.abstractUsing multimodal sensors to perceive the environment and subsequently performing intelligent sensor/motor allocation is of crucial interest for building autonomous systems. Such a capability should allow autonomous entities to (re)allocate their resources for solving their most critical tasks depending on their current state, sensory input and knowledge about the world. Architectures of artificial real-world systems with internal representation of the world and such dynamic motor allocation capabilities are invaluable for systems with limited resources. Based upon recent advances in attention research and psychophysiology we propose a general purpose selective attention mechanism that supports the construction of a world model and subsequent intelligent motor control. We implement and test this architecture including its selective attention mechanism, to build a probabilistic world model. The constructed world-model is used to select actions by means of a Bayesian inference method. Our method is tested in a multi-robot task, both in simulation and in the real world, including a coordination mission involving aerial and ground vehicles.en_US
dc.languageengen_US
dc.relation.ispartofStudies in Computational Intelligenceen_US
dc.sourceStudies in Computational Intelligence[ISSN 1860-949X],v. 299, p. 479-497en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherMobile Roboten_US
dc.subject.otherSelective Attentionen_US
dc.subject.otherAutonomous Systemen_US
dc.subject.otherHumanoid Roboten_US
dc.subject.otherData Associationen_US
dc.titleAction-planning and execution from multimodal cues: An integrated cognitive model for artificial autonomous systemsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/978-3-642-13428-9_24en_US
dc.identifier.scopus77957726703-
dc.contributor.authorscopusid26531674700-
dc.contributor.authorscopusid6506360007-
dc.contributor.authorscopusid7006315557-
dc.description.lastpage497en_US
dc.description.firstpage479en_US
dc.relation.volume299en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.description.numberofpages19en_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.orcid0000-0003-4452-0414-
crisitem.author.fullNameBermúdez I Badía, Sergi-
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