基于多线程粒子群优化的机器人标定

A. Li, Defeng Wu, Zi Ma
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引用次数: 7

摘要

主要工作包括:(1)建立了由结构光视觉传感器和工业机器人组成的机器人标定平台。(2)将机器人标定转化为一个优化问题,通过测量不同手位和位置的固定点。(3)提出了一种多线程粒子群优化算法,并将其应用于机器人运动参数估计。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot calibration based on multi-thread particle swarm optimization
Main contributions include: (1) A platform composed of a structure-light vision sensor and a industrial robot is established for robot calibration. (2) Transform the robot calibration to an optimization problem through measuring a fixed point at different hand poses and positions. (3) A multi-thread particle swarm optimization algorithm is proposed and applied in robot kinematic parameter estimation. The effectiveness of the proposed method is validated by simulation.
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