• DocumentCode
    2334672
  • Title

    Sensing polygon poses by inscription

  • Author

    Jia, Yan-Bin ; Erdmann, Michael

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    1642
  • Abstract
    Industrial assembly involves sensing the pose (orientation and position) of a part. Efficient and reliable sensing strategies can be developed for an assembly task if the shape of the part is known in advance. In this paper the authors investigate the problem of determining the pose of a convex n-gon from a set of m supporting cones, i.e., cones with both sides supporting the polygon. An algorithm with running time O(nm) which almost always reduces to O(n+m log n) is presented to solve for all possible poses of the polygon. As a consequence, the polygon inscription problem of finding all possible poses for a convex n-gon inscribed in another convex m-gon, can be solved within the same asymptotic time bound. The authors prove that the number of possible poses cannot exceed 6n, given m⩾2 supporting cones with distinct vertices. Experiments demonstrate that two supporting cones are sufficient to determine the real pose of the n-gon in most cases. The authors´ results imply that sensing in practice can be carried out by obtaining viewing angles of a planar part at multiple exterior sites in the plane. As a conclusion, the authors generalize this and other sensing methods into a scheme named sensing by inscription
  • Keywords
    assembling; computational complexity; computational geometry; image recognition; asymptotic time bound; convex n-gon; industrial assembly; orientation; polygon inscription problem; polygon poses; position; sensing by inscription; sensing strategies; supporting cones; Computer industry; Computer science; Costs; Hardware; Robot sensing systems; Robotic assembly; Service robots; Shape; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-5330-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1994.351355
  • Filename
    351355