• DocumentCode
    3409742
  • Title

    Humanoid robot indoor navigation based on 2D bar codes: application to the NAO robot

  • Author

    George, Laurent ; Mazel, Alexandre

  • Author_Institution
    Aldebaran-Robot., Paris, France
  • fYear
    2013
  • fDate
    15-17 Oct. 2013
  • Firstpage
    329
  • Lastpage
    335
  • Abstract
    In this paper, we put forward a method for humanoid robot indoor localization and navigation, using 2D bar codes, running on embedded hardware. Our approach is based on camera image processing and the detection of 2D bar codes stuck to the walls. The particularities of our approach are: it works without odometry, fast localization (≈1s) that allows for kidnapping and falls, and it does not require the manual edition of a map (thus no extra computer is needed). Results of an experimental study conducted with three different NAO robots in our office show that the proposed system is operational and usable in domestic environments. The NAO robots are able to navigate through a corridor of 5m in under 86s on average. Moreover using our system the robots manage to map and navigate a complex environment with multiple rooms that includes doors and furniture. Taken together our results demonstrate that our navigation system could become a standard feature for our robots.
  • Keywords
    bar codes; humanoid robots; image processing; indoor environment; mobile robots; path planning; robot vision; 2D bar code detection; NAO robot; camera image processing; embedded hardware; humanoid robot indoor localization; humanoid robot indoor navigation; Bar codes; Cameras; Estimation; Navigation; Robot kinematics; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2013 13th IEEE-RAS International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    2164-0572
  • Print_ISBN
    978-1-4799-2617-6
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2013.7029995
  • Filename
    7029995