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基于单目视觉的初始焊位导引技术

王天琪, 李金钟, 李亮玉, 何俊杰

王天琪, 李金钟, 李亮玉, 何俊杰. 基于单目视觉的初始焊位导引技术[J]. 焊接学报, 2019, 40(6): 14-18. DOI: 10.12073/j.hjxb.2019400147
引用本文: 王天琪, 李金钟, 李亮玉, 何俊杰. 基于单目视觉的初始焊位导引技术[J]. 焊接学报, 2019, 40(6): 14-18. DOI: 10.12073/j.hjxb.2019400147
WANG Tianqi, LI Jinzhong, LI Liangyu, HE Junjie. Guidance method of initial welding position based on monocular vision[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(6): 14-18. DOI: 10.12073/j.hjxb.2019400147
Citation: WANG Tianqi, LI Jinzhong, LI Liangyu, HE Junjie. Guidance method of initial welding position based on monocular vision[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(6): 14-18. DOI: 10.12073/j.hjxb.2019400147

基于单目视觉的初始焊位导引技术

基金项目: 国家自然科学基金资助项目(U1733125);天津市自然科学基金重点项目(17JCZDJC38700);天津市自然科学基金面上项目(18JCYBJC18700)

Guidance method of initial welding position based on monocular vision

  • 摘要: 针对传统焊缝起始点自动导引技术所采用立体视觉方法存在系统复杂、导引过程繁琐等问题,提出了一种基于eye-in-hand单目视觉的焊缝初始位置导引方法.首先调节机器人关节并获取不同位姿下焊缝初始位置图像,然后建立经过初始焊位点的直线方程,并将其转换到位于机器人基坐标系下.进一步求取上述两直线交点,最终确定初始焊位在机器人基坐标系下的三维坐标,以此引导机器人运动.结果表明,该方法能够在保证精确度的情况下实现对焊缝起始点进行导引.
    Abstract: A guidance method of initial welding position based on eye-in-hand single eye vision is proposed, this method could be used to overcome the shortcomings of traditional stereo vision guidance method, such as the complex vision system and tedious guide process. At first, the initial welding position could be obtained through several images respectively from different robot configuration, then the linear equation which is including the point of the initial welding position is established, and this equation is transformed into the base coordinate of robot. Furthermore, the intersection point of two lines is calculated, the coordinate of initial welding position is calculated and used to guide the robot welding at last. The test results show that this method could be used to guide the welding robot in finding the initial welding point with the accuracy.
  • [1] Li Hexi, Shi Yonghua, Wang Guorong. Automatic teaching of stereovision-guided welding robot using ant colony optimization algorithm[J]. China Welding, 2010, 19(1):37-42.
    [2] 赖小波,朱世强,曹新星.基于OpenCV的焊缝跟踪系统中摄像机标定方法[J].焊接学报, 2010, 31(7):75-78 Lai Xiaobo, Zhu Shiqiang, Cao Xinxing. OpenCV based camera calibration methods for seam tracking systems[J]. Transactions of the China Welding Institution, 2010, 31(7):75-78
    [3] 陈希章,陈善本.弧焊机器人起始焊接位置图像识别与定位[J].焊接学报, 2009, 30(4):17-20 Chen Xizhang, Chen Shanben. Recognition and positioning of start welding position for arc welding robot[J]. Transactions of the China Welding Institution, 2009, 30(4):17-20
    [4] 陈善本,吕娜.焊接智能化与智能化焊接机器人技术研究进展[J].电焊机, 2013, 43(5):28-36 Chen Shanben, Lü Na. The research progress of intelligent welding and intelligent welding robot technology[J]. Electric Welding Machine, 2013, 43(5):28-36
    [5] 刘程熙,彭家寅.异面直线公垂线方程的求法[J].内江师范学院学报, 2009(8):90-92 Liu Chengxi, Peng Jiayin. A method for finding the equation of the common perpendicular in skew lines[J]. Editorial Department of Journal of Neijang Normal University, 2009(8):90-92
    [6] Tsai R Y, Lenz R K. A new technique for fully autonomous and efficient 3D robotics hand/eye calibration[J]. IEEE Transactions on Robotics and Automation, 1989, 5(3):345-358.
    [7] 张春美,龚志辉,黄艳.几种特征点提取算法的性能评估及改进[J].测绘科学技术学报, 2008(3):231-234 Zhang Chunmei, Gong Zhihui, Huang Yan. Performance evaluation and improvement of several feature point detectors[J]. Journal of Geomatics Science and Technology, 2008(3):231-234
    [8] 张祖勋,张剑清.数字摄影测量学[M].武昌:武汉大学出版社. 2013.
    [9] 郑明玲.海量遥感图像高性能配准算法研究[D].长沙:国防科学技术大学, 2003.
    [10] Boguslaw Cyganek. An introduction to 3D computer vision techniques and algorithms[M]. Germany:Wiley, 2009.
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出版历程
  • 收稿日期:  2018-03-02

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