• DocumentCode
    2018945
  • Title

    The toppling graph: designing pin sequences for part feeding

  • Author

    Zhang, Tao ; Smith, Gordon ; Berretty, Robert-Paul ; Overmars, Mark ; Goldberg, Ken

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    139
  • Abstract
    We consider a sensorless approach to feeding parts on a conveyor belt using pins (rigid barriers) to topple parts into desired orientations. Given the 2D projection of an n-sided convex polyhedral part, its center of mass, and coefficients of friction, we give an O(n 2) algorithm to compute the “toppling graph”, a new data structure that represents the mechanics of toppling, including rolling and jamming. The toppling graph can be used to identify critical pin heights that permit toppling. We compare pin heights predicted by the graph with physical experiments, and give a complete O(n3n) algorithm for designing pin sequences
  • Keywords
    computational complexity; data structures; friction; graph theory; materials handling; production control; computational complexity; conveyor belt; data structure; friction; orientations; part feeding; pin sequences; toppling graph; Algorithm design and analysis; Belts; Data structures; Fasteners; Friction; Jamming; Law; Pins; Planing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.844051
  • Filename
    844051