• DocumentCode
    1868614
  • Title

    Odometry and calibration methods for multi-castor vehicles

  • Author

    Doebbler, James ; Davis, Jeremy J. ; Junkins, John L. ; Valasek, John

  • Author_Institution
    Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    2110
  • Lastpage
    2115
  • Abstract
    We are developing a mobile robot capable of emulating general 6-degree-of-freedom spacecraft relative motion. The omni-directional base uses a trio of active split offset castor drive modules to provide smooth, holonomic, precise control of its motion. Encoders measure the rotations of the six wheels and the three castor pivots. We present a generic odometric algorithm using a least squares framework which is applicable to vehicles with two or more castors and apply it to our unique vehicle configuration. As the accuracy of odometry algorithms depends on the accuracy to which the model parameters are known, a method to perform calibration on the physical robot is needed. We present a geometric calibration method based solely on internal sensor measurements. We present a range of simulation results comparing our odometry results to other algorithms under various systematic and non-systematic errors. We evaluate the ability of our calibration method to accurately determine the true values of our system parameters. The odometry algorithm was also implemented and tested in hardware on our robotic platform. The results presented in the paper validate the calibration and odometry algorithms in both simulation and hardware.
  • Keywords
    aerospace robotics; calibration; distance measurement; mobile robots; motion control; calibration methods; generic odometric algorithm; least squares framework; mobile robot; motion control; multi-castor vehicles; odometry; Calibration; Hardware; Least squares methods; Mobile robots; Motion control; Robot sensing systems; Rotation measurement; Space vehicles; Testing; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543518
  • Filename
    4543518