• DocumentCode
    3024283
  • Title

    Establishing the NP-hardness of maximally permissive RAS-based approaches to multi-vehicle system safety

  • Author

    Roszkowska, Elzbieta ; Reveliotis, Spyros

  • Author_Institution
    Inst. of Comput. Eng., Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    322
  • Lastpage
    327
  • Abstract
    The safety problem in multi-vehicle systems seeks to establish collision-free and live vehicle motion, and it is a prominent problem for many configurations of these environments. Past work studying this problem in the context of free-range vehicular systems through abstractions based on Resource Allocation System (RAS) theory, has implicitly assumed that its resolution through maximally permissive supervision is NP-hard, and therefore, it has typically pursued suboptimal (i.e., more restrictive) solutions. The work presented in this paper offers formal proof to this implicit assumption, closing the apparent gap in the existing literature.
  • Keywords
    collision avoidance; computational complexity; multi-robot systems; optimisation; resource allocation; safety; NP-hard problem; collision free system; free range vehicular system; maximally permissive RAS based approach; multivehicle system safety; resource allocation system theory; Control systems; Distributed computing; Mobile agents; Motion control; Resource management; Robotics and automation; Space vehicles; System recovery; USA Councils; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509746
  • Filename
    5509746