• DocumentCode
    3362589
  • Title

    Study of robot seam tracking system with laser vision

  • Author

    Suyi, Liu ; Lingteng, Liu ; Hua, Zhang ; Jianjun, Bai ; Guorong, Wang

  • Author_Institution
    Robot & Weld Autom. Key Lab., Nanchang Univ., Nanchang, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    1296
  • Lastpage
    1301
  • Abstract
    Welding is developing to automatization and robotization, and robot welding is an important development direction. A robot real-time seam tracking system based on laser vision is researched, which includes laser vision sensing and seam image acquisition, seam images recognition and extraction, system coordinates calibration and transformation, communication between PC and robot, control for robot seam tracking, and robot seam tracking experiments. A way of image filtering is improved and four methods to recognize and extract seam images are studied. Lap-joint seam tracking experiments are performed to test the seam tracking system. Lap-joint groove experiment results show, corner detecting image recognition is satisfied with real-time seam tracking and has good precision and stability, and the whole system studied in the paper is satisfying for robot real-time seam tracking.
  • Keywords
    feature extraction; filtering theory; image recognition; optical tracking; robot vision; robotic welding; corner detecting image recognition; image extraction; image filtering; lap-joint groove experiment; lap-joint seam tracking; laser vision sensing; robot real-time seam tracking system; robot welding; seam image acquisition; seam image recognition; system coordinates calibration; system coordinates transformation; Automatic control; Calibration; Image recognition; Machine vision; Real time systems; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; Welding; image processing; laser vision; robo weldingt; seam tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246180
  • Filename
    5246180