• DocumentCode
    2734464
  • Title

    Priority-Based Meta-control within Hierarchical Task Network Planning

  • Author

    Musliner, David J. ; Goldman, Robert P.

  • Author_Institution
    Smart Inf. Flow Technol. (SIFT), Minneapolis, MN, USA
  • fYear
    2010
  • fDate
    27-28 Sept. 2010
  • Firstpage
    282
  • Lastpage
    286
  • Abstract
    We are developing real-time planning and control systems that allow a single human operator to control a team of unmanned aerial vehicles (UAVs). If the operator requests more tasks than can be immediately addressed by the available UAVs, our planning system must choose which goals to try to achieve, and which to postpone for later effort. To make this decision-making easily understandable and controllable, we allow the user to assign strict priorities to goals, ensuring that if a goal is assigned the highest priority, the system will use every resource available to try to build a successful plan to achieve that goal. In this paper we show how unique features of the SHOP2 hierarchical task network planner permit an elegant implementation of this priority queue behavior. Although this paper is primarily about the technique itself, rather than SHOP2´s performance, we assess the scalability of this priority queue approach and discuss potential directions for improvement, as well as more general forms of meta-control within SHOP2 domains.
  • Keywords
    aerospace robotics; mobile robots; path planning; remotely operated vehicles; SHOP2 planner; hierarchical task network planning; planning system; priority queue approach; priority-based metacontrol; simple hierarchical ordered planner; unmanned aerial vehicles; Cognition; Conferences; Humans; Optimization; Planning; Scalability; Unmanned aerial vehicles; hierarchical task networks; meta-control; partial satisfaction planning; priority;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4244-8684-7
  • Type

    conf

  • DOI
    10.1109/SASOW.2010.58
  • Filename
    5729636