Multi-objective optimization for number of joints and lengths of multi-jointed robot arm

Hyeongjun Kim, H. Yamakawa
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引用次数: 2

Abstract

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.
多关节机械臂关节数和长度的多目标优化
本文研究了多关节刚性臂的关节数和长度的优化问题。我们假设目标点通过样条函数得到一条路径,并制定了包含多个环路的优化问题,以找到最优的节点数量和长度。最优问题的目标可以在多个函数之间取。该优化问题采用多目标函数的形式,即驱动能量最小化和可操控性测度最大化。直接用数学规划方法确定多关节刚性机械臂的最佳关节数和长度是一个难题。然后,我们利用基于遗传算法(GA)的算法求解逆动态问题和优化问题。得到的结果从许多角度进行了检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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