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A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence

机译:基于特征线巧合的工业机器人校准中的一种快速坐标变换方法

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摘要

Coordinate transformation plays an indispensable role in industrial measurements, including photogrammetry, geodesy, laser 3-D measurement and robotics. The widely applied methods of coordinate transformation are generally based on solving the equations of point clouds. Despite the high accuracy, this might result in no solution due to the use of ill conditioned matrices. In this paper, a novel coordinate transformation method is proposed, not based on the equation solution but based on the geometric transformation. We construct characteristic lines to represent the coordinate systems. According to the space geometry relation, the characteristic line scan is made to coincide by a series of rotations and translations. The transformation matrix can be obtained using matrix transformation theory. Experiments are designed to compare the proposed method with other methods. The results show that the proposed method has the same high accuracy, but the operation is more convenient and flexible. A multi-sensor combined measurement system is also presented to improve the position accuracy of a robot with the calibration of the robot kinematic parameters. Experimental verification shows that the position accuracy of robot manipulator is improved by 45.8% with the proposed method and robot calibration.
机译:坐标转换在工业测量中起着不可或缺的作用,包括摄影测量,大地测量,激光3-D测量和机器人。广泛应用的坐标变换方法通常基于求解点云的方程。尽管准确性高,但由于使用不良矩阵,这可能导致没有解决方案。本文提出了一种新颖的坐标变换方法,而不是基于等式解决方案,而是基于几何变换。我们构建特征线来表示坐标系。根据空间几何关系,使特征线扫描通过一系列旋转和翻译而重合。可以使用矩阵变换理论获得变换矩阵。实验旨在将提出的方法与其他方法进行比较。结果表明,该方法具有相同的高精度,但操作更方便,灵活。还提出了一种多传感器组合测量系统,以提高机器人的位置精度随机器人运动学参数的校准。实验验证表明,利用所提出的方法和机器人校准,机器人操纵器的位置精度得到了45.8%。

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