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Application of Soft Computing to Serial Manipulator Kinematic Problems


Bani Hashim, Ahmad Yusairi and Ismail, Napsiah and Megat Ahmad, Megat Mohamad Hamdan and Salem Hamouda, Abdel Magid and Osman, Mohd Rasid (2004) Application of Soft Computing to Serial Manipulator Kinematic Problems. Pertanika Journal of Science & Technology, 12 (2). pp. 191-200. ISSN 0128-7680


Inspired by the techniques in artificial intelligence, this research applies the constituent of artificial intelligence to perform manipulator positioning tasks. This work combines three methods in artificial intelligence: fuzzy rules, neural networks, and genetic algorithm to form the control block specifically designed to solve kinematic problems of a six degree-of-freedom serial manipulator. The direct kinematic of a manipulator is taken as the feed forward control and the artificial intelligence control block replaces the inverse kinematics when the reverse solving is done. Fine manipulator positioning is achieved from the learning stages executed by the artificial intelligence control block. It is shown experimentally that the technique proposed was capable of producing results with very low errors.

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Additional Metadata

Item Type: Article
Publisher: Universiti Putra Malaysia Press
Keywords: Fuzzy logic, neural network, genetic algorithm, direct kinematics, inverse kinematics
Depositing User: Nur Izyan Mohd Zaki
Date Deposited: 30 Nov 2009 07:30
Last Modified: 27 May 2013 07:09
URI: http://psasir.upm.edu.my/id/eprint/3627
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