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Representation of dynamic situations in the Robot’s Mind for Human-like interaction with the environment: autonomous navigation

dc.conference.dateMay 6-10
dc.conference.placeKarlsruhe, Germany
dc.conference.titleIEEE International Conference on Robotics and Automation
dc.contributor.authorVillacorta Atienza, José Antonio
dc.contributor.authorMakarov Slizneva, Valeriy
dc.date.accessioned2024-02-06T13:43:16Z
dc.date.available2024-02-06T13:43:16Z
dc.date.issued2013
dc.description.abstractThe Compact Internal Representation (CIR) the- ory has been recently proposed as a cognitive basis for robots and artificial agents which interact with dynamic complex environments. This paper discusses the conceptual basis of the CIR and the explanations provided by the theory for the way in which humans interact with the world. The conclusions have been tested in robot navigation experiments, proving the feasibility of autonomous robots capable to navigate by interacting with time-changing environments in a human-like manner.en
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.departmentDepto. de Biodiversidad, Ecología y Evolución
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.urihttps://hdl.handle.net/20.500.14352/99541
dc.language.isoeng
dc.rights.accessRightsrestricted access
dc.subject.ucmCiencias
dc.subject.unesco24 Ciencias de la Vida
dc.titleRepresentation of dynamic situations in the Robot’s Mind for Human-like interaction with the environment: autonomous navigationen
dc.typeconference paper
dspace.entity.typePublication
relation.isAuthorOfPublication21b23d2b-75f8-4803-9370-4e88539b81cc
relation.isAuthorOfPublicationa5728eb3-1e14-4d59-9d6f-d7aa78f88594
relation.isAuthorOfPublication.latestForDiscovery21b23d2b-75f8-4803-9370-4e88539b81cc

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