Path control of dexterous robotic hand using genetic algorithm

This 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 vali...

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Main Authors: Albert, F.Y.C., Koh, S.P., Chen, C.P., Loo, C.K., Tiong, S.K.
Format: Conference Paper
Language:en_US
Published: 2017
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spelling my.uniten.dspace-58402018-01-05T03:40:10Z Path control of dexterous robotic hand using genetic algorithm Albert, F.Y.C. Koh, S.P. Chen, C.P. Loo, C.K. Tiong, S.K. This 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. 2017-12-08T07:26:38Z 2017-12-08T07:26:38Z 2009 Conference Paper 10.1109/ICARA.2000.4804002 en_US ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents 2009, Article number 4804002, Pages 502-506
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 This 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.
format Conference Paper
author Albert, F.Y.C.
Koh, S.P.
Chen, C.P.
Loo, C.K.
Tiong, S.K.
spellingShingle Albert, F.Y.C.
Koh, S.P.
Chen, C.P.
Loo, C.K.
Tiong, S.K.
Path control of dexterous robotic hand using genetic algorithm
author_facet Albert, F.Y.C.
Koh, S.P.
Chen, C.P.
Loo, C.K.
Tiong, S.K.
author_sort Albert, F.Y.C.
title Path control of dexterous robotic hand using genetic algorithm
title_short Path control of dexterous robotic hand using genetic algorithm
title_full Path control of dexterous robotic hand using genetic algorithm
title_fullStr Path control of dexterous robotic hand using genetic algorithm
title_full_unstemmed Path control of dexterous robotic hand using genetic algorithm
title_sort path control of dexterous robotic hand using genetic algorithm
publishDate 2017
_version_ 1644493788557606912
score 13.214268