Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/5840
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dc.contributor.authorAlbert, F.Y.C.en_US
dc.contributor.authorKoh, S.P.en_US
dc.contributor.authorChen, C.P.en_US
dc.contributor.authorLoo, C.K.en_US
dc.contributor.authorTiong, S.K.en_US
dc.date.accessioned2017-12-08T07:26:38Z-
dc.date.available2017-12-08T07:26:38Z-
dc.date.issued2009-
dc.description.abstractThis paper would presents the path control of a dexterous robotic hand finger reaching in a given search space. The proposed system would adopt the advantages of Genetic Algorithm (GA) to optimize the system performance in terms of path control, speed and accuracy. The system would search for a valid path and optimal velocity. A new genetic operator, namely Real Coded Dynamic Multilayer Chromosome Crossover (RC-DMCC) has been introduced and incorporated in the system. The simulation results of the proposed technique are presented. ©2009 IEEE.en_US
dc.language.isoen_USen_US
dc.relation.ispartofICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents 2009, Article number 4804002, Pages 502-506en_US
dc.titlePath control of dexterous robotic hand using genetic algorithmen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ICARA.2000.4804002-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeConference Paper-
Appears in Collections:COE Scholarly Publication
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