Solving inverse kinematics problem of robot arm with adjustable Snap-width A-star algorithm

Jirayus Chaichawananit, Saiyan Saiyod
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引用次数: 2

Abstract

Playing an important role in our everyday life, robot arms need the controlling systems for effectively moving each part in the desired movement, and their manipulation varies across their physical structures. To be precise, arms of the industrial robots used for welding consist of the sequence of jointed arms called kinematic chains and the arm tip called end effector. Such construction typically leads to problems about inverse kinematics in terms of its calculation for adjusting the angle size of each joint to have the end effector reach the desired target accurately and to minimize the movements in each joint. Therefore, this paper has presented a solution for those problems about inverse kinematics based on gradient following procedure and A-star algorithm in order to achieve the best practice. To suggest a solution, this paper has concerned about the accuracy and the minimum movement by carrying out a simulation on the simulative model with MATLAB program. According to the result, it was possible to calculate the proper degrees of the joint angles for creating the most accurate reach range of the end effector.
用可调Snap-width A-star算法求解机械臂逆运动学问题
机械臂在我们的日常生活中扮演着重要的角色,它需要控制系统来有效地移动每个部件,并且它们的操作方式因其物理结构而异。准确地说,用于焊接的工业机器人的手臂由称为运动链的关节臂序列和称为末端执行器的手臂尖端组成。这种结构通常会导致运动学逆解的计算问题,即如何调整每个关节的角度大小,使末端执行器准确地到达期望的目标,并使每个关节的运动最小化。为此,本文提出了一种基于梯度跟随法和a星算法的逆运动学求解方法,以期达到最佳实践。为了解决这一问题,本文利用MATLAB程序对仿真模型进行了仿真,考虑了精度和最小运动。根据结果,可以计算出关节角度的适当程度,以创建最精确的末端执行器到达范围。
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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