Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6378

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DC Field	Value	Language
dc.creator	Gaston, Peter C.	-
dc.creator	Lozano-Perez, Tomaso	-
dc.date	2004-10-04T14:54:04Z	-
dc.date	2004-10-04T14:54:04Z	-
dc.date	1983-03-01	-
dc.date.accessioned	2013-10-09T02:45:00Z	-
dc.date.available	2013-10-09T02:45:00Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-705	-
dc.identifier	http://hdl.handle.net/1721.1/6378	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This paper discusses how data from multiple tactile sensors may be used to identify and locate one object, from among a set of known objects. We use only local information from sensors: (1) the position of contact points, and (2) ranges of surface normals at the contact points. The recognition and localization process is structured as the development and pruning of a tree of consistent hypotheses about pairings between contact points and object surfaces. In this paper, we deal with polyhedral objects constrained to lie on a known plane, i.e., having three degrees of positioning freedom relative to the sensors.	-
dc.format	3949108 bytes	-
dc.format	3084365 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-705	-
dc.title	Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane	-
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