基于方向显著性的t型接头焊缝轮廓提取,用于路径规划和焊缝跟踪

Yinshui He, Hao Zhou, Junwei Wang, Di Wu, Shanben Chen
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引用次数: 7

摘要

在智能机器人焊接的发展中,焊缝轮廓提取是厚板焊接路径规划和焊缝跟踪的前提。本文提出了一种实现t型接头自主焊接的机器人焊接系统,该系统采用一种新颖的视觉传感器在同一框架内同时捕获焊缝轮廓和焊缝池。它利用激光来勾画t型关节的轮廓。本文主要研究如何从焊池背景中准确提取焊缝轮廓。提出了一种基于激光条纹方向显著性提取t型接头焊缝轮廓的有效方法。实验结果表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。
Weld seam profile extraction of T-joints based on orientation saliency for path planning and seam tracking
In the development of intelligentized robotic welding, weld seam profile extraction is a prerequisite in thick plate welding for path planning and seam tracking. This paper presents a robotic welding system to implement autonomous welding for T-joints, where a novel vision sensor is employed to capture weld seam profiles and weld pools simultaneously in the same frame. It exploits lasers to profile the T-joint. This paper concentrates on accurately extracting the seam profile from the background of the weld pool. An effective procedure of extracting the weld seam profile of the T-joint based on the orientation saliency of the laser stripe is proposed. Experimental results showed the effectiveness of the proposed method.
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