基于视觉识别技术的焊接机器人控制系统设计

Yu Han, Xu Han, Xiaoqian Guo, Lingbo Yang, Tinghang Guo, Zhuanping Qin, Zhuangzhuang Zhao
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引用次数: 0

摘要

近年来,工业自动化水平逐步提高。各行业通过机器人系统与现场设备的结合,逐步实现自动化焊接。为克服传统焊接工艺人工成本高、安全性低、焊接效率低、焊接质量不稳定等缺陷,设计了一种基于视觉识别技术的焊接机器人控制系统。该系统包括三个模块,即可视化模块、控制模块和执行模块。结合视觉识别技术,通过焊缝图像特征测量与处理方法,实现焊缝图像采集与识别、焊缝特征点提取、焊接机器人运动轨迹规划、焊接运动控制等功能。该系统可提高焊接质量和效率,是工业焊接技术的一项自动化创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Welding Robot Control System based on Visual Recognition Technology
The level of industrial automation has gradually improved in recent years. Various industries gradually realize automatic welding through the combination of robot system and field equipment. To overcome the defects of traditional welding process, such as high labor costs, low safety, low welding efficiency, and unstable welding quality, a welding robot control system based on visual recognition technology is designed. The system includes three modules, namely visual module, control module and execution module. By Combining visual recognition technology, through the weld image feature measurement and processing method, the system can achieve functions such as weld image acquisition and recognition, weld feature point extraction, welding robot motion trajectory planning, and welding motion control. The system can make the welding quality and efficiency higher and is an automatic innovation of industrial welding technology.
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