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A robust method for vision-based seam tracking in robotic arc welding

机译:机器人弧焊中基于视觉的焊缝跟踪的可靠方法

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This paper presents a robotic seam tracking system which is aimed at achieving robustness against some welding noises such as arc glares, welding spatters, fumes etc. In particularly, a syntactic analysis is used to improve the extraction reliability of the joint features. The joint features thus obtained are used to extract the 3-dimensional information of the weld joint and then achieve the robot path correction. To show the performance of the developed system, a series of experiments on joint feature detection and robotic seam tracking are conducted for different types of weld joints. The results exhibit that the system is very robust to various welding noises as well as variations in appearance of weld joint and workpiece.
机译:本文提出了一种机器人焊缝跟踪系统,旨在实现针对某些焊接噪声(例如弧光,焊接飞溅,烟尘等)的鲁棒性。特别是,通过句法分析来提高接头特征的提取可靠性。由此获得的关节特征用于提取焊接关节的3维信息,然后实现机器人路径校正。为了显示所开发系统的性能,针对不同类型的焊接接头进行了一系列关于接头特征检测和机器人接缝跟踪的实验。结果表明,该系统对于各种焊接噪声以及焊接接头和工件的外观变化非常鲁棒。

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