• DocumentCode
    3016753
  • Title

    Generating individual maps from Universal map for heterogeneous mobile robots

  • Author

    Takemura, Kentaro ; Araki, Ato ; Ido, Junichi ; Matsumoto, Yoshio ; Takamatsu, Jun ; Ogasawara, Tsukasa

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol.(NAIST), Nara, Japan
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    3460
  • Lastpage
    3465
  • Abstract
    In this research, a Universal map, which can be converted to individual maps for heterogeneous mobile robots, is proposed. A Universal map can be generated using our developed measurement robot, and it is composed of a textured 3D environment model. Therefore, every robot can use a Universal map as a common map, and it is utilized for various localization technologies such as view-based and LRF-based methods. In LRF-based localization, accurate localization is achieved using a specific map, which is generated from Universal map. In a view-based approach, localization and navigation are achieved using rendered images. The use of a Universal map enables generation of these maps automatically. The effectiveness of this approach is confirmed through experiments.
  • Keywords
    SLAM (robots); computer graphics; image texture; mobile robots; multi-robot systems; navigation; LRF-based localization; heterogeneous mobile robots; individual map generation; measurement robot; navigation; rendered images; textured 3D environment model; universal map; view-based localization; Collaborative work; Image converters; Mobile robots; Navigation; Rendering (computer graphics); Robot sensing systems; Robot vision systems; Robotics and automation; Simultaneous localization and mapping; USA Councils;
  • 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.2010.5509418
  • Filename
    5509418