• DocumentCode
    3228442
  • Title

    Numerical object rings path planning algorithm

  • Author

    Razavian, Abbas

  • Author_Institution
    Naval Surface Warfare Center, Crane, IN, USA
  • Volume
    4
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    4406
  • Abstract
    A numerical object rings path planning algorithm (NORPPA) is a heuristic search approach to path finding for autonomous robotic systems. It uses a heuristic search technique. It uses intelligent schemes to reduce the search space (to prune the logic tree). There is no guarantee that a unique solution will be reached, only that a correct one will be found with an execution time that does not exponentially increase with path complexity. The NORRPA includes means-end-analysis and hill climbing techniques. It consists of a number of specific task oriented algorithms coordinated by an execution sequencer (ES) which interfaces with other functions of the robotic system. There are 3 stages: the primary path (a first draft), the refined path, and the travelable path (a portion of the refined path that falls into the local sensing region of the robot). The average path finding execution time is about 11.5 seconds using a 486 personal computer at 33 MHZ clock speed
  • Keywords
    computational complexity; heuristic programming; mobile robots; path planning; search problems; 11.5 s; NORRPA; autonomous robotic systems; complexity; heuristic search approach; hill climbing techniques; logic tree pruning; means-end-analysis; numerical object rings path planning algorithm; refined path; travelable path; Computational modeling; Computer simulation; Cranes; Logic; Microcomputers; Orbital robotics; Path planning; Robot kinematics; Robot sensing systems; Servomechanisms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.577486
  • Filename
    577486