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Development of a monocular vision system for robotic drilling

机译:开发用于机器人钻孔的单眼视觉系统

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robotic drilling for aerospace structures demands a high positioning accuracy of the robot, which is usually achieved through error measurement and compensation. In this paper, we report the development of a practical monocular vision system for measurement of the relative error between the drill tool center point (TCP) and the reference hole. First, the principle of relative error measurement with the vision system is explained, followed by a detailed discussion on the hardware components, software components, and system integration. The elliptical contour extraction algorithm is presented for accurate and robust reference hole detection. System calibration is of key importance to the measurement accuracy of a vision system. A new method is proposed for the simultaneous calibration of camera internal parameters and hand-eye relationship with a dedicated calibration board. Extensive measurement experiments have been performed on a robotic drilling system. Experimental results show that the measurement accuracy of the developed vision system is higher than 0.15 mm, which meets the requirement of robotic drilling for aircraft structures.
机译:用于航空航天结构的机器人钻孔要求机器人具有较高的定位精度,这通常是通过误差测量和补偿来实现的。在本文中,我们报告了一种实用的单眼视觉系统的开发,该系统用于测量钻具中心点(TCP)与参考孔之间的相对误差。首先,说明了视觉系统相对误差测量的原理,然后详细讨论了硬件组件,软件组件和系统集成。提出了椭圆轮廓提取算法,用于精确,鲁棒的基准孔检测。系统校准对于视觉系统的测量精度至关重要。提出了一种使用专用校准板同时校准摄像机内部参数和手眼关系的新方法。已经在机器人钻孔系统上进行了广泛的测量实验。实验结果表明,开发的视觉系统的测量精度高于0.15 mm,可以满足飞机结构机器人钻孔的要求。

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