• DocumentCode
    2471259
  • Title

    Improved performance of an automated guided vehicle by using a smart diagnostics tool

  • Author

    Bostelman, Roger ; Shackleford, Will

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    2010
  • fDate
    14-17 March 2010
  • Firstpage
    1688
  • Lastpage
    1693
  • Abstract
    The test bed for the Measurement Science Program at the National Institute of Standards and Technology (NIST) includes a robot arm on a rail, conveyers, mannequins and a custom designed automated guided vehicle (AGV). The NIST AGV includes an onboard personal computer and control software, safety sensors, and an absolute positioning sensor system among other useful and research tools, sensors and equipment. A NIST-developed, smart diagnostic tool was used to design, adjust, and monitor vehicle parameters and control algorithms to enable robust autonomous vehicle control. The NIST Diagnostics Tool and its application to the NIST AGV are presented in this paper.
  • Keywords
    automatic guided vehicles; control engineering computing; conveyors; manipulators; mobile robots; position control; rails; robust control; safety; National Institute of Standards and Technology; absolute positioning sensor system; automated guided vehicle; control software; conveyers; equipment; mannequins; measurement science program; onboard personal computer; rail; research tools; robot arm; robust autonomous vehicle control; safety sensors; smart diagnostics tool; Automatic control; Automatic testing; Intelligent sensors; Intelligent vehicles; Mobile robots; NIST; Remotely operated vehicles; Robot sensing systems; Sensor systems; Software safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2010 IEEE International Conference on
  • Conference_Location
    Vi a del Mar
  • Print_ISBN
    978-1-4244-5695-6
  • Electronic_ISBN
    978-1-4244-5696-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2010.5472637
  • Filename
    5472637