Abstract
Welding seams identification is a challenging task in robotic welding process. In this paper, we present a method for the automatic identification and location of welding seams for robotic welding using handy 3D scanner. The method uses point cloud based local feature matching and continuous feature search algorithm, which aim at achieving an adaptive seam identification process that can work on similar work pieces with different sizes. The results together with the visual verification demonstrate that the proposed algorithms have ability to identify the welding seam from point cloud acquired by handy laser scanner.
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