• DocumentCode
    2332511
  • Title

    New distances for the separation and penetration of objects

  • Author

    Gilbert, Elmer G. ; Ong, Chong Jin

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    579
  • Abstract
    New quantitative measures for the separation and penetration of two convex objects are formulated. These measures, called separation and penetration growth distances, are closely related to traditional distance measures and share many of their desirable properties. The solution of a single optimization problem yields both the separation and penetration distances. For polytopal objects the optimization problem is a simple linear program whose computational time is O(m), where m is the number of linear inequalities required to specify the two polytopes. Numerical experiments with three dimensional polytopes demonstrate that the growth distances can be computed more rapidly than the traditional distances with a large advantage in the case of penetration distances
  • Keywords
    computational complexity; linear programming; path planning; 3D polytopes; computational time; object penetration; object separation; penetration growth distances; polytopal objects; separation growth distances; simple linear program; Collision avoidance; Computer graphics; Design automation; Interference; Motion detection; Motion planning; Object detection; Path planning; Process planning; Robot motion;
  • 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.1994.351237
  • Filename
    351237