• DocumentCode
    426201
  • Title

    Planning with imperfect information

  • Author

    Ferguson, Dave ; Stentz, Anthony

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    28 Sept.-2 Oct. 2004
  • Firstpage
    1926
  • Abstract
    We describe an efficient method for planning in environments for which prior maps are plagued with uncertainty. Our approach processes the map to determine key areas whose uncertainty is crucial to the planning task. It then incorporates the uncertainty associated with these areas using the recently developed PAO algorithm to produce a fast, robust solution to the original planning task.
  • Keywords
    multi-agent systems; path planning; robots; imperfect information; navigating agent; planning task; robots; Aircraft navigation; Costs; Data mining; Helicopters; Motion planning; Path planning; Process planning; Robots; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8463-6
  • Type

    conf

  • DOI
    10.1109/IROS.2004.1389679
  • Filename
    1389679