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Hierarchical Intelligent Robot Control Based on Artificial Neural Network System

dc.creatorMiljković, Zoran
dc.date.accessioned2023-02-23T09:36:56Z
dc.date.available2023-02-23T09:36:56Z
dc.date.issued1997
dc.identifier.issn1067-0688
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/4485
dc.description.abstractThis paper presents the hierarchical intelligent control of an anthropomorphic industrial robot through the application of artificial neural network systems, which is based on an empirical control strategy. For the purposes of realizing this new control strategy, the original "BPnet" software was developed, which is completely elaborated in the paper in accordance with experimental results for the robotized assembly task.sr
dc.language.isoensr
dc.publisherPrincipia Scientia, USAsr
dc.rightsclosedAccesssr
dc.sourceJournal Mathematical Modelling and Scientific Computing - USAsr
dc.subjectHierarchical intelligent robot controlsr
dc.subjectEmpirical control strategysr
dc.subjectArtificial neural networkssr
dc.subjectBPnet softversr
dc.subjectRobotized assembly tasksr
dc.titleHierarchical Intelligent Robot Control Based on Artificial Neural Network Systemsr
dc.typearticlesr
dc.rights.licenseARRsr
dc.rights.holderProf. Zoran Miljkovićsr
dc.citation.epage336
dc.citation.issue1-2
dc.citation.rankM24
dc.citation.spage331
dc.citation.volume8
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_4485
dc.type.versionpublishedVersionsr


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