• DocumentCode
    1865626
  • Title

    Object localization using crossbeam sensing

  • Author

    Wallack, Aaron S. ; Canny, John F. ; Manocha, Dinesh

  • Author_Institution
    Div. of Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1993
  • fDate
    2-6 May 1993
  • Firstpage
    692
  • Abstract
    A localization technique using reliable, highly accurate, robust, inexpensive light beam sensors designed for mechanical assembly and manufacturing is presented. The technique involves passing polyhedral objects through a set of crossed beams and storing the positions when any beam is broken or reconnects. The geometrical constraints simplify the correspondence problem, so that it is solvable in linear time or can be solved using a precomputed hash table. The global minimum least-squared error pose is computed exactly using methods from algebra and numerical analysis. The limitations of this technique result from the beam sensor´s limitations
  • Keywords
    assembling; computer vision; industrial robots; optical sensors; RISC robotics; correspondence problem; crossbeam sensing; geometrical constraints; global minimum least-squared error pose; hash table; light beam sensors; mechanical assembly; object localization; polyhedral objects; Assembly; Computer science; Fingers; Hardware; Machine vision; Object recognition; Pulp manufacturing; Reduced instruction set computing; Robot control; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-8186-3450-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1993.292059
  • Filename
    292059