Multi-Objective Optimization For Number of Joints and Lengths of Multi-Jointed Robot Arm

被引:0
|
作者
Kim, Hyeongjun [1 ]
Yamakawa, Hiroshi [1 ]
机构
[1] Waseda Univ, Dept Modern Mech Engn, Tokyo, Japan
来源
2012 FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE ENGINEERING SYSTEMS (ICIES) | 2012年
关键词
Multi-objective optimization; Multi-Jointed Robot Arm; Genetic algorithm; Optimun number of joints and lengths; Driving energy; Manipulability measure;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we deal with optimization problems of the number of joints and lengths of multi-jointed rigid arms. We assume target points to yield a path by Spline function and formulate optimization problems with multiple loops to find optimum number of joints and lengths. The objective of the optimum problem can be taken among various functions. The optimal problem is formulated here by multi-objective functions minimizing driving energy and maximizing manipulability measure. It is a difficult problem to find the optimum number of joints and lengths of a multi-jointed rigid robot arm directly by mathematical programing. Then, we utilize an algorithm based on Genetic Algorithm (GA) in order to solve inverse dynamic problems and optimization problems. The obtained results are examined from many points of view.
引用
收藏
页码:196 / 200
页数:5
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