Neural networks in robotics: state of the art

Tzafestas, S; ARCHITECTURES, N

dc.contributor.author	Tzafestas, S	en
dc.contributor.author	ARCHITECTURES, N	en
dc.date.accessioned	2014-03-01T01:43:21Z
dc.date.available	2014-03-01T01:43:21Z
dc.date.issued	1995	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24092
dc.subject	Motion Control	en
dc.subject	Neural Control	en
dc.subject	Path Planning	en
dc.subject	Neural Network	en
dc.title	Neural networks in robotics: state of the art	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/ISIE.1995.496471	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISIE.1995.496471	en
heal.publicationDate	1995	en
heal.abstract	This paper provides a short review of the neural network approach to system control with reference to robotic systems. Starting with an exposition of the main neurocontrol architectures, the paper overviews the literature on the application of neural networks to robot kinematics, dynamics, path planning and motion control, including some work on neurofuzzy control. To appreciate better robot neurocontrol, an	en
dc.identifier.doi	10.1109/ISIE.1995.496471	en