• DocumentCode
    2289237
  • Title

    Encapsulated path planning for abstraction-based control of multi-vehicle systems

  • Author

    Rao, Venkatesh G. ; Wongpiromsarn, Tichakorn ; Ho, Thientu ; Chung, Kimberly ; D´Andrea, Raffaello

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Abstract
    We introduce an encapsulation approach to path planning for multi-vehicle control that permits other decision processes to work with simple, spatially-abstracted domain models, and partially or wholly ignore obstacles, observation uncertainty and vehicle dynamics. The encapsulation results in formal domain representations called patch models that generate path planning problems in two standard forms: patch realization and differential patch realization, that we formulate and address in this paper. We present enhancements to existing ways of partitioning the path planning problem, and also present enhancements for each component. Conditions are presented characterizing domains suitable for abstraction-based methods
  • Keywords
    multivariable systems; path planning; realisation theory; uncertain systems; vehicle dynamics; abstraction-based control; differential patch realization; encapsulated path planning; multivehicle systems; observation uncertainty; obstacles; patch models; spatially-abstracted domain models; vehicle dynamics; Command and control systems; Control systems; Encapsulation; Humans; Kernel; Path planning; Process control; Processor scheduling; Uncertainty; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0209-3
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657176
  • Filename
    1657176