A State Space Model for Sensorimotor Control and Learning

dc.creator	Raibert, Marc
dc.date	2004-10-01T20:36:59Z
dc.date	2004-10-01T20:36:59Z
dc.date	1976-01-01
dc.date.accessioned	2013-10-09T02:41:18Z
dc.date.available	2013-10-09T02:41:18Z
dc.date.issued	2013-10-09
dc.identifier	AIM-351
dc.identifier	http://hdl.handle.net/1721.1/5789
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	This is the first of a two-part presentation which deals with certain computer controlled manipulator problems. This first part discusses a model which is designed to address problems of motor control, motor learning, adaptation, and sensorimotor integration. In this section the problems are outlined and a solution is given which makes used of a state space memory and a piece-wise linearization of the equations of motion. A forthcoming companion article will present the results of tests performed on an implementation of the model.
dc.format	35 p.
dc.format	2558764 bytes
dc.format	1806617 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-351
dc.title	A State Space Model for Sensorimotor Control and Learning

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