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Calibrating a Cartesian robot with eye-on-hand configuration independent of eye-to-hand relationship

机译:校准具有与手对眼关系无关的手对眼配置的笛卡尔机器人

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摘要

A new approach is described for geometric calibration of Cartesian robots. This is part of a set of procedures for real-time 3-D robotics eye, eye-to-hand, and hand calibration which uses a common setup and calibration object, common coordinate systems, matrices, vectors, symbols, and operations and is especially suited to machine vision systems. The robot makes a series of automatically planned movement with a camera rigidly mounted at the gripper. At the end of each move, it takes a total of 90 ms to grab an image, extract image feature coordinates, and perform camera-extrinsic calibration. After the robot finishes all the movements, it takes only a few milliseconds to do the calibration. The key of this technique is that only one rotary joint is moving for each movement. This allows the calibration parameters to be fully decoupled, and converts a multidimensional problem into a series of one-dimensional problems. Another key is that eye-to-hand transformation is not needed at all during the computation.
机译:描述了一种用于笛卡尔机器人的几何校准的新方法。这是用于实时3-D机器人眼,手和手校准的一组过程的一部分,该过程使用通用的设置和校准对象,通用坐标系,矩阵,矢量,符号和操作,并且特别适用于机器视觉系统。机器人将一系列牢固地安装在夹具上的摄像机进行一系列自动计划的运动。每次移动结束时,总共需要90毫秒来捕获图像,提取图像特征坐标并执行相机外部校准。机器人完成所有动作后,只需几毫秒即可完成校准。该技术的关键是每次运动仅一个旋转关节在运动。这允许将校准参数完全解耦,并将多维问题转换为一系列一维问题。另一个关键是在计算过程中根本不需要进行手动转换。

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