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作 者:朱承科 Zhu Chengke(Xingxin Institute of Vocational Technology,Xinjiang Production and Construction Corps,Tiemenguan Xinjiang 841007,China)
机构地区:[1]新疆生产建设兵团兴新职业技术学院,新疆铁门关841007
出 处:《机械管理开发》2024年第1期292-294,共3页Mechanical Management and Development
摘 要:当前焊接机器人因自适应性不足,存在着工件安装误差、间隙变化、热变形等问题,基于视觉引导对焊接机器人焊缝纠偏技术进行研究,通过焊接图像处理、提取特征点、离线在线纠偏等方法实现焊缝的跟踪与校正,改善工件焊接质量。Currently,welding robots have problems such as workpiece mounting errors,gap changes,thermal deformation and so on due to the lack of self-adaptability.In this paper,the welding seam correction technology of welding robots is researched based on visual guidance,and the tracking and correction of weld seams are realised to improve the welding quality of the workpieces through the methods of weld image processing,extraction of feature points,and offline on-line deviation correction,and so on.
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