利用弧光进行机器人焊缝跟踪

Xiaogang Liu, C. Xie
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引用次数: 6

摘要

基于视觉的无辅助光焊缝跟踪是智能焊接机器人研究的热点。问题的关键是焊接过程中耗费大量时间的图像处理。首先,根据旋转反射抛物面原理,提出在焊丝尖端上方的特定位置放置抛物面反射镜。反射镜使一部分弧光变成平行光。反射光照在CCD相机能看到的地方。从而使CCD相机的视缝变长,减弱了弧光干扰。其次,讨论该区域的光通量是有保证的。然后从梯度元素的正、负两个方面对处理图像的Roberts算法进行了讨论,提出了一种判断接缝的规则。该规则提高了焊缝跟踪的速度。建立了一种焊接机器人系统,该系统将单摄像头固定在焊炬末端执行器上,使机器人能够通过反射光识别焊缝。仿真和实际应用结果证明了该方法的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robotic Seam Tracking by Utilizing Arc Light
Vision-based seam tracking without auxiliary light is a popular topic concerning the intelligent welding robot. The Gordian Knot of the issue is image processing with much time spending in the welding course. First, according to the principle of paraboloid of revolution reflecting, this paper puts forward laying a paraboloidal mirror in specifically position above the tip of welding wire. A part of arc light is changed into parallel one by the mirror. The reflected light shines on the area where the CCD camera can see. So the visual seam is seen long and the arc light jamming is weakened in the CCD camera. Secondly, it will be discussed that the luminous flux of the area is assured. Then the Roberts algorithm for the processing image will be discussed in the aspect of the positiveness and negativeness of the gradient element, a rule that judged seam was brought forward. The rule increases the speed of seam tracking. A welding robot system with single camera fixed on the weld torch end-effector has been established for the robot to identify the welded seam by the reflected light. The simulation and results of real application have proved the validity of the method
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