• DocumentCode
    2638744
  • Title

    Initial state observer design for self-localization of mobile robots

  • Author

    Higuchi, Muneaki ; Nakamura, Hisakazu ; Nishitani, Hirokazu

  • Author_Institution
    Nara Inst. of Sci. & Technol., Nara
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    1039
  • Lastpage
    1042
  • Abstract
    In this paper, we introduce a sensor fusion method for position locations of mobile robots using an initial state observer and propose a gain calculation method. We confirm the effectiveness of the proposed method by experiments. Experimental results illustrate the initial state observer based sensor fusion method with proposed gain calculation method has almost the same performance as EKF. Moreover, the proposed method imposes much smaller computational cost than EKF. Finally, our proposed method is confirmed as a robust estimation method for time variation.
  • Keywords
    Kalman filters; estimation theory; mobile robots; nonlinear filters; observers; position control; robust control; sensor fusion; extended Kalman filter; gain calculation; mobile robot; position location; robust estimation; self-localization; sensor fusion; state observer design; time variation; Computational efficiency; Design methodology; Information science; Mobile robots; Observers; Performance gain; Robot control; Robustness; Sensor fusion; State estimation; Mobile Robot; Self Localization; Sensor Fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421137
  • Filename
    4421137