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

机译:多目标优化,多关节机器人手臂的关节数和长度

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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.
机译:在本文中,我们处理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产生路径,并配制多个环路的优化问题,以找到最佳的关节和长度。各种功能之间可以采取最佳问题的目的。这里通过多目标函数最小化驱动能量和最大程度的可操纵性测量来制定最佳问题。通过数学课程直接找到多关节刚性机器人手臂的最佳关节和长度是一个难题。然后,我们利用基于遗传算法(GA)的算法,以解决逆动态问题和优化问题。从许多角度检查了所获得的结果。

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