Distance and orientation estimation of graspable objects in natural and artificial systems
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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INVESTIGACIONAquest recurs és restringit
http://dx.doi.org/10.1016/j.neucom.2008.06.018 |
Metadades
Títol
Distance and orientation estimation of graspable objects in natural and artificial systemsData de publicació
2009Editor
ElsevierISSN
9252312Cita bibliogràfica
Neurocomputing, 72, , p. 879-886Tipus de document
info:eu-repo/semantics/articleParaules clau / Matèries
Resum
Being able to estimate pose and location of nearby objects is a fundamental skill for any natural or artificial agent actively interacting with its environment. The methods for extraction and integration of visual ... [+]
Being able to estimate pose and location of nearby objects is a fundamental skill for any natural or artificial agent actively interacting with its environment. The methods for extraction and integration of visual cues employed in artificial systems are usually very different from the solutions found in nature. We present a biologically plausible model of distance and orientation estimation based on neuroscience findings that is suitable to be implemented in a robotic vision-based grasping setup. Key novelties of the model are the use of simple retinal and proprioceptive data, and the integration between stereoptic and perspective cues. © 2008 Elsevier B.V. All rights reserved. [-]
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info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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