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Neural network approach to collision free path planning for robotics manipulators

dc.contributor.authorRuano, Antonio
dc.contributor.authorPashkevich, A.
dc.contributor.authorKazheunikau, M.
dc.date.accessioned2013-02-08T14:54:38Z
dc.date.available2013-02-08T14:54:38Z
dc.date.issued2004
dc.date.updated2013-01-26T19:49:54Z
dc.description.abstractAbstract: The paper deals with collision free path planning for industrial robotic manipulators. A new efficient algorithm is proposed that is based on a topologically ordered neural network model. This model describes harmonic potential field of the robot configuration space, sampled by non-regular grid. The algorithm has been successfully applied to the off-line programming of a robotic manufacturing cell for the automotive industry.por
dc.identifier.citationRuano, A. E.; Pashkevich, A.; Kazheunikau, M. Neural Network Approach to Collision Free Path Planning for Robotics Manipulators, Trabalho apresentado em 6th Portuguese Conference on Automatic Control (Controlo 2004), In 6th Portuguese Conference on Automatic Control (Controlo 2004), Faro, 2004.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2268
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectRobotic manipulatorspor
dc.subjectConfiguration spacepor
dc.subjectNeural networkspor
dc.subjectOff-line programmingpor
dc.titleNeural network approach to collision free path planning for robotics manipulatorspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaropor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.title6th Portuguese Conference on Automatic Control (Controlo 2004)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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