• DocumentCode
    2059227
  • Title

    Autonomous robotic system for high-efficiency non-destructive bridge deck inspection and evaluation

  • Author

    La, Hung M. ; Lim, Ronny Salim ; Basily, Basily ; Gucunski, Nenad ; Jingang Yi ; Maher, Ahmed ; Romero, Francisco A. ; Parvardeh, Hooman

  • Author_Institution
    Center for Adv. Infrastruct. & Transp. (CAIT), Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2013
  • fDate
    17-20 Aug. 2013
  • Firstpage
    1053
  • Lastpage
    1058
  • Abstract
    Bridges are one of the critical civil infrastructure for safety of traveling public. The conditions of bridges deteriorate with time as a result of material aging, excessive loading, and inadequate maintenance, etc. In this paper, the development of an autonomous robotic system is presented for highly-efficient bridge deck inspection and evaluation. An autonomous mobile robot is used as a platform to carry various non-destructive evaluation (NDE) sensing systems for simultaneous and fast data collection. Besides the NDE sensors, the robot is also equipped with various onboard navigation sensors. A sensing integration scheme is presented for high-accuracy robot localization and navigation. The effectiveness of the autonomous robotic NDE system is demonstrated through extensive experiments and field deployments.
  • Keywords
    bridges (structures); condition monitoring; inspection; mobile robots; nondestructive testing; path planning; structural engineering; telerobotics; NDE sensing systems; NDE sensors; autonomous mobile robot; autonomous robotic NDE system; critical civil infrastructure; high-accuracy robot localization; high-accuracy robot navigation; high-efficiency nondestructive bridge deck evaluation; high-efficiency nondestructive bridge deck inspection; onboard navigation sensors; sensing integration scheme; simultaneous data collection; Bridges; Global Positioning System; Robot kinematics; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2013 IEEE International Conference on
  • Conference_Location
    Madison, WI
  • ISSN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CoASE.2013.6653886
  • Filename
    6653886