• DocumentCode
    138124
  • Title

    The use of unicycle robot control strategies for skid-steer robots through the ICR kinematic mapping

  • Author

    Pentzer, Jesse ; Brennan, Sean ; Reichard, Karl

  • Author_Institution
    Dept. of Mech. & Nucl. Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    3201
  • Lastpage
    3206
  • Abstract
    While decades of work and hundreds of research papers exist on unicycle robot control, the control of skid-steer robots is not yet as standardized due to the complexity of wheel slipping behavior. This work presents a method of utilizing the track or wheel Instantaneous Centers of Rotation (ICRs) on a skid-steer vehicle to map skid-steer dynamics to an equivalent time-varying model of unicycle dynamics. This allows for the direct implementation of existing unicycle, or Hilare type, robot trajectory controllers. Knowledge of ICR locations enables the calculation of required track or wheel speeds to create desired vehicle movement, similar to the kinematic relations resulting from the no-slip assumption of a unicycle robot. The algorithm requires no prior knowledge of vehicle dimensions or terrain parameters because ICR locations are estimated during robot operation using an extended Kalman filter (EKF). Simulation and experimental results for a wheeled skid-steer vehicle show good trajectory tracking performance.
  • Keywords
    Kalman filters; mobile robots; motion control; nonlinear filters; robot dynamics; robot kinematics; trajectory control; wheels; Hilare type; ICR kinematic mapping; extended Kalman filter; kinematic relations; robot trajectory controllers; skid-steer dynamics mapping; skid-steer robots; time-varying model; track instantaneous centers-of-rotation utilization; unicycle robot control strategies; vehicle movement; wheel instantaneous centers-of-rotation utilization; wheel slipping behavior complexity; wheeled skid-steer vehicle; Kinematics; Mobile robots; Tracking; Trajectory; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/IROS.2014.6943006
  • Filename
    6943006