• DocumentCode
    583520
  • Title

    Precise welding line detection of a hexahedron based on twisted motion of a scanning LRF

  • Author

    Lee, Sungmin ; Park, Jaebyung

  • Author_Institution
    Div. of Electron. Eng., Chonbuk Nat. Univ., Jeonju, South Korea
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    1178
  • Lastpage
    1180
  • Abstract
    The precise welding line detection method based on twisted motion of a scanning laser range finder (LRF) is proposed for autonomous robotic welding of a hexahedron into a steel plate. For successful welding, the directions of the welding lines should be obtained precisely. For detecting welding line, more than two points on the welding line should be obtained. Thus, two points on the welding line are obtained based on the twisted motion of the scanning LRF. In this case, the feature point on the welding line is detected by applying the Hough transform into the sensor data of the LRF, taking the intrinsic characteristics of the sensor into consideration. Since the Hough transform is based on the voting mechanism, the sensor noise can be reduced. For verifying the feasibility of the proposed method, the simulation has been carried out with a commercial LRF model, UBG-04LX-F01 of Hokuyo Automatic Co., Ltd.
  • Keywords
    Hough transforms; edge detection; feature extraction; laser ranging; robotic welding; steel; Hokuyo Automatic Co. Ltd; Hough transform; UBG-04LX-F01; autonomous robotic welding; feature point detection; hexahedron; precise welding line detection method; scanning LRF twisted motion; scanning laser range finder; sensor data; sensor noise reduction; steel plate; voting mechanism; Feature extraction; Image edge detection; Robot sensing systems; Service robots; Transforms; Welding; Automatic Robotic Welding; Scanning Laser Range Finder (LRF); Twisted Motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393305