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An Automated Method to Calibrate Industrial Robots Using a Virtual Closed Kinematic Chain

机译:使用虚拟闭合运动链校准工业机器人的自动化方法

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This paper describes an industrial robot calibration algorithm called the virtual closed kinematic chain method. Current robot kinematic calibration methods use measurements of position and orientation of the end effector. The accuracy of these measurements is limited by the resolution of the measuring equipment. In the proposed method, a laser pointer tool, attached to the robot''s end effector, aims at a constant but unknown location on a fixed object, effectively creating a virtual 7 DOFs closed kinematic chain. As a result, small variations in position and orientation of the end effector are magnified on the distant object. Hence, the resolution of observations is improved, increasing the accuracy of joint angle measurements that are required to calibrate the robot. The method is verified using both simulation and real experiments. It is also shown in simulation that the method can be automated by a feedback system that can be implemented in real time. The accuracy of the robot after using the proposed calibration procedure is measured by aiming at an arbitrary fixed point and measuring the mean and standard deviation of the radius of spread of the projected points. The mean and standard deviation of the radius of spread were improved from 5.64 and 1.89 mm to 1.05 and 0.587 mm, respectively.
机译:本文介绍了一种工业机器人校准算法,称为虚拟封闭运动链方法。当前的机器人运动学校准方法使用末端执行器的位置和方向的测量。这些测量的精度受到测量设备分辨率的限制。在提出的方法中,连接到机器人末端执行器的激光指示器工具瞄准固定物体上的恒定但未知的位置,从而有效地创建了虚拟的7自由度闭合运动学链。结果,末端执行器的位置和取向的微小变化在远处的物体上被放大。因此,观察结果的分辨率得以提高,从而增加了校准机器人所需的关节角度测量的准确性。通过仿真和实际实验验证了该方法。在仿真中还显示,该方法可以由可以实时实现的反馈系统自动化。通过使用任意校准点并测量投影点扩展半径的平均值和标准偏差,可以测量使用建议的校准过程后机器人的精度。扩展半径的平均值和标准偏差分别从5.64和1.89毫米提高到1.05和0.587毫米。

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