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dc.contributor.authorAlbert, F.Y.C.en_US
dc.contributor.authorKoh, S.P.en_US
dc.contributor.authorTiong, S.K.en_US
dc.contributor.authorChen, C.P.en_US
dc.contributor.authorYap, F.W.en_US
dc.description.abstractThe 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.relation.ispartofProceedings - International Symposium on Information Technology 2008, ITSim Volume 4, 2008, Article number 4632036en_US
dc.titleInverse kinematic solution in handling 3R manipulator via real-time genetic algorithmen_US
dc.typeConference Paperen_US
item.fulltextNo Fulltext-
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