• DocumentCode
    2097537
  • Title

    A possible strategy to evaluate the odometry error of a mobile robot

  • Author

    Martinelli, Agostino

  • Author_Institution
    Dept. of Comput. Sci. & Syst. Production, Rome Univ., Italy
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1946
  • Abstract
    The odometry error of a mobile robot contains both systematic and non-systematic components. This paper presents an error modeling of an odometry system for a synchronous drive system and a possible strategy in order to evaluate this error. The odometry error is modeled by introducing four parameters characterizing its systematic and non-systematic components (translational and rotational). We introduce five experimentally measurable quantities for a given robot motion, which we call observables. On the basis of our odometry error model we analytically compute the average values of the observables, which depend on the previous four parameters and on the considered robot motion. We suggest a possible strategy in order to simultaneously estimate the four parameters by estimating the observables. We show that our strategy only requires to measure the change in the orientation and position between the initial and the final configuration of the robot related to suitable robot motions. The strategy was applied to the platform Nomad150
  • Keywords
    distance measurement; drives; error analysis; mobile robots; navigation; parameter estimation; position control; localization; mobile robot; navigation; nonsystematic components; observables; odometry; odometry error; parameter estimation; position control; synchronous drive system; systematic components; Computer errors; Covariance matrix; Error analysis; Mobile robots; Navigation; Parameter estimation; Robot motion; Robot sensing systems; Robotics and automation; Sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-6612-3
  • Type

    conf

  • DOI
    10.1109/IROS.2001.976358
  • Filename
    976358