• DocumentCode
    2792097
  • Title

    Planning for control

  • Author

    Drummond, Miguel ; Bresina, John

  • Author_Institution
    NASA Ames Res. Center, Moffett Field, CA, USA
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    657
  • Abstract
    The problems that lie at the boundary of planning and control are studied from an artificial intelligence (AI) planning perspective. An attempt is made to extend the tools of traditional AI planning to handle more complex domains. The capabilities of current plan generation and execution systems are outlined. A sample planning and control problem is defined and then used to show where traditional AI planning fails. The failure of traditional planning is used to motivate a discussion on aspects of a new approach to the relationship between plan generation and plan execution
  • Keywords
    planning (artificial intelligence); artificial intelligence; boundary of planning; Artificial intelligence; Automatic control; Computer science; Control system synthesis; Control systems; Control theory; Force control; NASA; Postal services; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128527
  • Filename
    128527