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Robotic manipulator arms positioning error measurement using image registration

机译:使用图像配准的机械手机械臂定位误差测量

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In this work, a repeatability assessment scheme was introduced for an XY-Theta platform using phase correlation based method. The advantage of the proposed computer vision based scheme is that it avoids mechanical contact between the measurement device and the robot and can be implemented easily. This platform is held by a serial robot arm actuated with four revolute joints. Experiments were performed under different illumination, working status and number of robot arms to assess positioning error caused by a variety of factors. Experimental results indicated that compared with our previous evaluation methods, this scheme reached satisfactory results on the same platform.
机译:在这项工作中,使用基于相位相关的方法为XY-Theta平台引入了可重复性评估方案。所提出的基于计算机视觉的方案的优点在于,它避免了测量设备与机器人之间的机械接触,并且可以轻松实现。该平台由一个串行机器人手臂固定,该手臂由四个旋转关节致动。在不同的照明条件,工作状态和机械臂数量下进行了实验,以评估由多种因素引起的定位误差。实验结果表明,与我们以前的评估方法相比,该方案在同一平台上达到了令人满意的结果。

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