dc.creatorLópez de Teruel Alcolea, Pedro E.
dc.date2003-10
dc.date2011-09-02T03:00:00Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/9472
dc.identifierhttp://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct03-TO1.pdf
dc.identifierissn:1666-6038
dc.descriptionThis thesis describes the design and implementation of a mobile robot which is able to perform a structural interpretation of indoor environments, using only visual and proprioceptive sensory information. The desired behaviour is real-time navigation based on this interpretation, instead of a reactive approach. The design is guided by a predictive criterion: the system must anticipate the consequences of its actions, showing a certain predictive understanding of the scene in which it moves.
dc.descriptionFacultad de Informática
dc.formatapplication/pdf
dc.languageen
dc.relationJournal of Computer Science & Technology
dc.relationvol. 3, no. 2
dc.rightshttp://creativecommons.org/licenses/by-nc/3.0/
dc.rightsCreative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.subjectCiencias Informáticas
dc.titleA high-level perception architecture: real-time visual navigation for autonomous robots in structured environments
dc.typeArticulo
dc.typeRevision


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