• DocumentCode
    1645895
  • Title

    A MOOS-based online trajectory Re-planning system for AUVs

  • Author

    Barisic, Matko ; Vukic, Zoran ; Miskovic, Nikola ; Kragelund, Sean P.

  • Author_Institution
    Lab. for Underwater Syst. & Technol., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes an open source navigation system architecture for use in autonomous underwater vehicles. It is based on the mission oriented operating system proposed, published and programmed by ( (P. Newman, 2006), (P. Newman, 2008)). It is uniquely applicable for work-in-progress type and development-stage software and capability installation onto an AUV system. This applicability is achieved by its completely modular nature, which is obtained by the operating system kernel running separate processes for each advanced navigation or control feature. Robustness is also achieved in this respect since failures and errors will cause only the individual modules that incurs them to fail. Such critical errors, bugs and failures will thereby be contained and their propagation halted from completely freezing even the low-level control loops and decision-making processes needed to successfully retrieve the malfunctioning AUV.
  • Keywords
    control engineering computing; decision making; mobile robots; operating system kernels; position control; public domain software; underwater vehicles; autonomous underwater vehicle; capability installation; decision-making processes; development-stage software; low-level control loops; mission oriented operating system; online trajectory replanning system; open source navigation system architecture; operating system kernel; work-in-progress type; Computer architecture; Computer bugs; Control systems; Error correction; Kernel; Navigation; Open source software; Operating systems; Robustness; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2009 - EUROPE
  • Conference_Location
    Bremen
  • Print_ISBN
    978-1-4244-2522-8
  • Electronic_ISBN
    978-1-4244-2523-5
  • Type

    conf

  • DOI
    10.1109/OCEANSE.2009.5278131
  • Filename
    5278131