DocumentCode :
1152217
Title :
Kinematic Modeling and Analysis of Skid-Steered Mobile Robots With Applications to Low-Cost Inertial-Measurement-Unit-Based Motion Estimation
Author :
Yi, Jingang ; Wang, Hongpeng ; Zhang, Junjie ; Song, Dezhen ; Jayasuriya, Suhada ; Liu, Jingtai
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Rutgers Univ., Piscataway, NJ, USA
Volume :
25
Issue :
5
fYear :
2009
Firstpage :
1087
Lastpage :
1097
Abstract :
Skid-steered mobile robots are widely used because of their simple mechanism and high reliability. Understanding the kinematics and dynamics of such a robotic platform is, however, challenging due to the complex wheel/ground interactions and kinematic constraints. In this paper, we develop a kinematic modeling scheme to analyze the skid-steered mobile robot. Based on the analysis of the kinematics of the skid-steered mobile robot, we reveal the underlying geometric and kinematic relationships between the wheel slips and locations of the instantaneous rotation centers. As an application example, we also present how to utilize the modeling and analysis for robot positioning and wheel slip estimation using only low-cost strapdown inertial measurement units. The robot positioning and wheel slip-estimation scheme is based on an extended Kalman filter (EKF) design that incorporates the kinematic constraints for accuracy enhancement. The performance of the EKF-based positioning and wheel slip-estimation scheme are also presented. The estimation methodology is tested and validated experimentally on a robotic test bed.
Keywords :
Kalman filters; control system synthesis; mobile robots; motion estimation; nonlinear filters; position control; robot dynamics; robot kinematics; wheels; EKF design; extended Kalman filter design; instantaneous rotation center; kinematic analysis; kinematic modeling scheme; motion estimation; robot dynamics; robot positioning; skid-steered mobile robot; strapdown inertial measurement unit; wheel slip estimation scheme; wheel/ground interaction; Extended Kalman filter (EKF); mobile robots; motion estimation; skid steering; slip estimation;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2009.2026506
Filename :
5175357
Link To Document :
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