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

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...

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Main Authors: Albert, F.Y.C., Koh, S.P., Tiong, S.K., Chen, C.P., Yap, F.W.
Format: Conference Paper
Language:en_US
Published: 2017
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id my.uniten.dspace-5844
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spelling my.uniten.dspace-58442018-01-08T03:56:07Z Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm Albert, F.Y.C. Koh, S.P. Tiong, S.K. Chen, C.P. Yap, F.W. 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. 2017-12-08T07:26:39Z 2017-12-08T07:26:39Z 2008 Conference Paper 10.1109/ITSIM.2008.4632036 en_US Proceedings - International Symposium on Information Technology 2008, ITSim Volume 4, 2008, Article number 4632036
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language en_US
description 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.
format Conference Paper
author Albert, F.Y.C.
Koh, S.P.
Tiong, S.K.
Chen, C.P.
Yap, F.W.
spellingShingle Albert, F.Y.C.
Koh, S.P.
Tiong, S.K.
Chen, C.P.
Yap, F.W.
Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
author_facet Albert, F.Y.C.
Koh, S.P.
Tiong, S.K.
Chen, C.P.
Yap, F.W.
author_sort Albert, F.Y.C.
title Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
title_short Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
title_full Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
title_fullStr Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
title_full_unstemmed Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
title_sort inverse kinematic solution in handling 3r manipulator via real-time genetic algorithm
publishDate 2017
_version_ 1644493789135372288
score 13.214268

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