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Research on Optimal Number of Joints and Lengths of Multi-Jointed Robot Arm

机译:多关节机器人手臂的最佳关节数和长度的研究

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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. At first a function is taken only to reduce energy for a simple and typical example. Next, another optimal problem is formulated by multi-objective functions minimizing the driving energy and maximizing the 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,我们处理了多关节刚性臂的关节数量和长度的优化问题。我们假设目标点可以通过样条函数生成路径,并用多个循环制定优化问题,以找到最佳的接点数量和长度。可以在各种功能中兼顾最佳问题的目的。首先,对于一个简单且典型的示例,仅采取一种减少能耗的功能。接下来,通过使驱动能量最小化和可操纵性措施最大化的多目标函数来提出另一个最优问题。直接通过数学编程来找到多关节刚性机器人手臂的最佳关节数和长度是一个难题。然后,我们利用一种基于遗传算法(GA)的算法来解决逆动态问题和优化问题。从许多角度检查了获得的结果。

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