• DocumentCode
    2595957
  • Title

    Slip compensation for a Mars rover

  • Author

    Helmick, Daniel M. ; Cheng, Yang ; Clouse, Daniel S. ; Bajracharya, Max ; Matthies, Larry H. ; Roumeliotis, Stergios I.

  • Author_Institution
    Jet Propulsion Lab., Pasadena, CA, USA
  • fYear
    2005
  • fDate
    2-2 Aug. 2005
  • Firstpage
    2806
  • Lastpage
    2813
  • Abstract
    A system that enables continuous slip compensation for a Mars rover has been designed, implemented, and field-tested. This system is composed of several components that allow the rover to accurately and continuously follow a designated path, compensate for slippage, and reach intended goals in high-slip environments. These components include: visual odometry, vehicle kinematics, a Kalman filter pose estimator, and a slip compensation/path follower. Visual odometry tracks distinctive scene features in stereo imagery to estimate rover motion between successively acquired stereo image pairs. The vehicle kinematics for a rocker-bogie suspension system estimates motion by measuring wheel rates, and rocker, bogie, and steering angles. The Kalman filter merges data from an inertial measurement unit (IMU) and visual odometry. This merged estimate is then compared to the kinematic estimate to determine how much slippage has occurred, taking into account estimate uncertainties. If slippage has occurred then a slip vector is calculated by differencing the current Kalman filter estimate from the kinematic estimate. This slip vector is then used to determine the necessary wheel velocities and steering angles to compensate for slip and follow the desired path.
  • Keywords
    Kalman filters; Mars; aerospace robotics; distance measurement; mobile robots; motion compensation; motion control; motion estimation; path planning; planetary rovers; position control; robot kinematics; robot vision; slip; suspensions (mechanical components); Kalman filter pose estimator; Mars rover; bogie angle; high-slip environment; inertial measurement unit; path follower; rocker angle; rocker-bogie suspension system; rover motion estimation; rover navigation; scene feature tracking; slip compensation; slip vector; steering angle; stereo image; stereo imagery; uncertainty estimation; vehicle kinematics; visual odometry; wheel rate; Drives; Kinematics; Laboratories; Mars; Motion estimation; Navigation; Propulsion; System testing; Vehicles; Wheels; kalman filter; kinematics; rover navigation; slip compensation; visual odometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
  • Conference_Location
    Edmonton, Alta., Canada
  • Print_ISBN
    0-7803-8912-3
  • Type

    conf

  • DOI
    10.1109/IROS.2005.1545178
  • Filename
    1545178