Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm

Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/5844

DC Field	Value	Language
dc.contributor.author	Albert, F.Y.C.	en_US
dc.contributor.author	Koh, S.P.	en_US
dc.contributor.author	Tiong, S.K.	en_US
dc.contributor.author	Chen, C.P.	en_US
dc.contributor.author	Yap, F.W.	en_US
dc.date.accessioned	2017-12-08T07:26:39Z	-
dc.date.available	2017-12-08T07:26:39Z	-
dc.date.issued	2008	-
dc.description.abstract	The Artificial Intelligence (AI) machine usage examines various benefits of its applications in industries. This research is to develop an AI 3 revolute (3R) planar manipulator system that would contribute to a productive and a quality way of material handling and processing. The system would adopt the advantage of Genetic Algorithm to optimize its performance in terms of motion control and accuracy. The GA would use the new proposed crossover operator, namely Dynamic Multilayered Chromosome Crossover (DMCC). The paper presents simulation results obtained based on the information of the target's position and the manipulator orientation. © 2008 IEEE.	en_US
dc.language.iso	en_US	en_US
dc.relation.ispartof	Proceedings - International Symposium on Information Technology 2008, ITSim Volume 4, 2008, Article number 4632036	en_US
dc.title	Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm	en_US
dc.type	Conference Paper	en_US
dc.identifier.doi	10.1109/ITSIM.2008.4632036	-
item.fulltext	No Fulltext	-
item.grantfulltext	none	-
Appears in Collections:	COE Scholarly Publication

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