• DocumentCode
    478615
  • Title

    FIP: A Fast Planning-Graph-Based Iterative Planner

  • Author

    Fu, Jicheng ; Bastani, Farokh ; Ng, Vincent ; Yen, I-Ling ; Zhang, Yansheng

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX
  • Volume
    1
  • fYear
    2008
  • fDate
    3-5 Nov. 2008
  • Firstpage
    419
  • Lastpage
    426
  • Abstract
    We present a fast iterative planner (FIP) that aims to handle planning problems involving nondeterministic actions. In contrast to existing iterative planners, FIP is built upon Graphplan´s intrinsic features, thus, enabling Graphplan variants, including SGP and FF, to be enhanced with the capability of iterative planning. In addition, FIP is able to produce program-like plans with conditional and loop constructs, and achieves efficient planning via novel algorithms for manipulating planning graphs. Experimental results on several nondeterministic planning problems show that FIP is more efficient than the well-known planner, MBP, especially as the size of the problems increases.
  • Keywords
    iterative methods; planning (artificial intelligence); FIP; Graphplan variants; fast planning-graph-based iterative planner; nondeterministic planning; Artificial intelligence; Computer science; Iterative algorithms; Iterative methods; Path planning; Process planning; Scalability; Uncertainty; Automated AI Planning; Graphplan; Iterative planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
  • Conference_Location
    Dayton, OH
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3440-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2008.98
  • Filename
    4669719