Method for vectorial robot movement determination enabling accuracy improvements

A. Buschhaus, N. Apel, J. Franke
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引用次数: 3

Abstract

Promising approaches for robot accuracy improvements belong to the visual servoing methods. These methods comprise closed-loop control systems, which utilize sensors to guide the robot relative to visible features of a work-piece. However, the known methods show limitations regarding their usability for highly accurate applications or tasks without a predetermined process pathway. To overcome this problem, at FAPS a system for high-speed monitoring of the work-piece's movement is investigated. The system enables a closed-loop control of the robots motion, if a deviation between actual and planned movement is determined. For the actual movement determination, a highly efficient and accurate image data processing system, based on a vectorial movement determination of fiducial markers is developed. In this context, a highly efficient and geometrical accurate actual state determination constitutes a significant challenge. Experiments show, that the system allows a position determination in an area of ten microns at a frequency faster than 500 Hz, thus enabling a reactive robot control and accuracy improvement.
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改进精度的矢量机器人运动测定方法
视觉伺服方法是提高机器人精度的有效途径。这些方法包括闭环控制系统,它利用传感器来引导机器人相对于工件的可见特征。然而,已知的方法对于高度精确的应用程序或没有预定过程路径的任务的可用性显示出局限性。为了克服这一问题,FAPS研究了一种用于工件运动的高速监控系统。如果确定了实际和计划运动之间的偏差,该系统可以对机器人的运动进行闭环控制。针对实际运动的确定,开发了一种基于基准标记矢量运动确定的高效、准确的图像数据处理系统。在这种情况下,高效和几何精确的实际状态确定构成了重大挑战。实验表明,该系统可以在10微米范围内以超过500赫兹的频率确定位置,从而实现机器人的反应控制和精度提高。
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