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Robotic Hand-eye Calibration Based on Active Vision

机译:基于活跃视觉的机器人手眼校准

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Method of robotic hand-eye calibration based on active vision is presented in this paper.Firstly the calibration method of the hand-eye relations rotation matrix is analyzed.The world coordinates of feature points on the workpiece platform are obtained by laser pointer,that is mounted on the mechanical arm. Then we can calibrate the hand-eye relations translation vector. Through the calibrated hand-eye relations,we can calculate the distances between four feature points in the image,and compare the error with the actual values. Experimental results show that the measurement error range of the lengths between the feature points is ±0.8 mm.Therefore,the hand-eye calibration precision is high,and it can meet the requirements of workpiece positioning and automatic grabbing for robot.
机译:本文提出了基于主动视觉的机器人手眼校准的方法。分析了手眼关系旋转矩阵的校准方法。通过激光指针获得工件平台上的特征点的世界坐标,即安装在机械臂上。然后我们可以校准手眼关系翻译矢量。通过校准的手眼关系,我们可以计算图像中的四个特征点之间的距离,并将错误与实际值进行比较。实验结果表明,特征点之间的长度的测量误差范围为±0.8 mm。因此,手眼校准精度高,可以满足工件定位和自动抓取机器人的要求。

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