• DocumentCode
    1792095
  • Title

    Path generation for scanning large-size equipment using industrial robot

  • Author

    Hao Guo ; Feng Wen ; Xiaojie Chai ; Xuewei Cao ; Kui Yuan

  • Author_Institution
    Instn. of Autom., Beijing, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    993
  • Lastpage
    998
  • Abstract
    In manufacturing industry or equipment painting fields, the equipment may have minor shape changes. In order to obtain a better fabrication or painting results, it is required to get an accurate on-site 3D data of the equipment rapidly. A new path generating method on industrial robot with 3D scanner is proposed in this paper. The main idea of the method is to obtain a coarse model of the equipment from the CAD and translate it into the robot coordinate system. Then the model is segmented into flatness zones. Meaningful zone information and collision detection are used to generate the scanning path which could be used by the robots directly. The simulation and the on-site experiment results show its effectiveness and feasibility using the ABB´s 5400 robot and TOF depth camera.
  • Keywords
    CAD; collision avoidance; control engineering computing; image sensors; industrial robots; manufacturing industries; production engineering computing; robot vision; 3D scanner; ABB 5400 robot; CAD; TOF depth camera; collision detection; equipment painting fields; fabrication results; flatness zones; industrial robot; large-size equipment scanning; manufacturing industry; minor shape changes; on-site 3D data; painting results; path generation; robot coordinate system; zone information; Collision avoidance; Robot kinematics; Service robots; Solid modeling; Three-dimensional displays; Vectors; acquisition path; industrial robot; three-dimensional data; zone divide;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885833
  • Filename
    6885833