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An algorithm of hand-eye calibration for arc welding robot

机译:弧焊机器人手眼校正算法

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Vision-based seam tracking sensor is now widely used in arc welding robot due to its non-contact, high- precision, real-time characteristics. It is able to detect the weld seam position, and transform the position from camera coordinates to robot base coordinates. To realize such transformation, the hand-eye matrix which is the transformation relation between the camera and end-effector (EE) of robot is needed. In this paper, the mathematical model of the hand-eye problem is given, and a hand-eye calibration algorithm is proposed. The simulation experiments are given to analyze the calibration errors caused by the measuring noise. The experiment results show that the proposed algorithm meets the demands of accuracy for the arc welding robot.
机译:基于视觉的焊缝跟踪传感器由于其非接触式,高精度,实时特性,现在已广泛用于电弧焊机器人中。它能够检测焊缝位置,并将位置从摄像机坐标转换为机器人基础坐标。为了实现这种变换,需要手眼矩阵,该矩阵是相机和机器人末端执行器(EE)之间的变换关系。给出了手眼问题的数学模型,并提出了手眼校正算法。给出了仿真实验,以分析由测量噪声引起的校准误差。实验结果表明,该算法满足了弧焊机器人的精度要求。

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