Automatic Calibration Algorithm of Robot TCP Based on Binocular Vision

Sujie Liu, Yujun Wu, Chengrong Qiu, Xuefeng Zou
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引用次数: 1

Abstract

The Tool Center Point (TCP) coordinate parameter of the robot end tool is the benchmark of the robot operation. In this paper, a robot TCP automatic calibration algorithm based on binocular vision measurement is proposed. A target which can be recognized by the binocular vision sensor is attached to the robot TCP. The pose transformation between the vision sensor and the robot base is calculated by taking the binocular vision three-dimensional space measurement as the constraint and combining with the multiple translational motions of the robot end tool. After several free rotations of the end tool of the robot, TCP takes the measurement vector of the corresponding binocular vision sensor as the stroke to carry out the hypothetical parallel movement. So that the translated TCP is located at the same point in the space. To calculate the data of the corresponding flange coordinate system after the translation of TCP, and finally infers the position parameters of the TCP of the robot.
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基于双目视觉的机器人TCP自动标定算法
机器人端刀的刀具中心点(TCP)坐标参数是机器人操作的基准。提出了一种基于双目视觉测量的机器人TCP自动标定算法。在TCP机器人上附着一个可被双目视觉传感器识别的目标。以双目视觉三维空间测量为约束,结合机器人端刀的多次平移运动,计算视觉传感器与机器人基座之间的位姿变换。在机器人末端工具进行多次自由旋转后,TCP以相应双目视觉传感器的测量向量为笔画,进行假设的平行运动。这样转换后的TCP就位于空间中的同一点上。计算TCP平移后对应法兰坐标系的数据,最后推导出机器人TCP的位置参数。
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