Genetic-based fuzzy model for inverse kinematics solution of robotic manipulators

被引：0
|
作者：
Eydgahi, AM [1 ]
Ganesan, S [1 ]
机构：
[1] Univ Teheran, Dept Elect & Comp Engn, Tehran, Iran
来源：
1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A genetic-based method for generation and adjustment of membership functions of fuzzy Jacobian set for inverse kinematics solution of robotic manipulators is presented. The method produces an optimal membership functions arrangement for the fuzzy Jacobian set. A simulation environment is developed which enables one to apply different parameters for flexible application of operators in genetic algorithm during the process. Comparison results of the proposed approach and available technique show that this method provides better results than available one.
引用
收藏
页码：2196 / 2201
页数：6
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