Embodiment and Manipulation Learning Process for a Humanoid Hand

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7064

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DC Field	Value	Language
dc.creator	Matsuoka, Yoky	-
dc.date	2004-10-20T20:27:54Z	-
dc.date	2004-10-20T20:27:54Z	-
dc.date	1995-05-01	-
dc.date.accessioned	2013-10-09T02:48:09Z	-
dc.date.available	2013-10-09T02:48:09Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-1546	-
dc.identifier	http://hdl.handle.net/1721.1/7064	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Babies are born with simple manipulation capabilities such as reflexes to perceived stimuli. Initial discoveries by babies are accidental until they become coordinated and curious enough to actively investigate their surroundings. This thesis explores the development of such primitive learning systems using an embodied light-weight hand with three fingers and a thumb. It is self-contained having four motors and 36 exteroceptor and proprioceptor sensors controlled by an on-palm microcontroller. Primitive manipulation is learned from sensory inputs using competitive learning, back-propagation algorithm and reinforcement learning strategies. This hand will be used for a humanoid being developed at the MIT Artificial Intelligence Laboratory.	-
dc.format	9161027 bytes	-
dc.format	7404933 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-1546	-
dc.title	Embodiment and Manipulation Learning Process for a Humanoid Hand	-
Appears in Collections:	MIT Items

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