Pose Determination of a Grasped Object Using Limited Sensing

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7292

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DC Field	Value	Language
dc.creator	Siegel, David M.	-
dc.date	2004-10-22T20:31:53Z	-
dc.date	2004-10-22T20:31:53Z	-
dc.date	1991-05-01	-
dc.date.accessioned	2013-10-09T02:48:58Z	-
dc.date.available	2013-10-09T02:48:58Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-1300	-
dc.identifier	http://hdl.handle.net/1721.1/7292	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This report explores methods for determining the pose of a grasped object using only limited sensor information. The problem of pose determination is to find the position of an object relative to the hand. The information is useful when grasped objects are being manipulated. The problem is hard because of the large space of grasp configurations and the large amount of uncertainty inherent in dexterous hand control. By studying limited sensing approaches, the problem's inherent constraints can be better understood. This understanding helps to show how additional sensor data can be used to make recognition methods more effective and robust.	-
dc.format	23645568 bytes	-
dc.format	8606597 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-1300	-
dc.title	Pose Determination of a Grasped Object Using Limited Sensing	-
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