Kinematic Modeling and Analysis of Skid-Steered Mobile Robots With Applications to Low-Cost Inertial-Measurement-Unit-Based Motion Estimation

被引:154
作者
Yi, Jingang [1 ]
Wang, Hongpeng [2 ]
Zhang, Junjie [3 ]
Song, Dezhen [4 ]
Jayasuriya, Suhada [3 ]
Liu, Jingtai [2 ]
机构
[1] Rutgers State Univ, Dept Mech & Aerosp Engn, Piscataway, NJ 08854 USA
[2] Nankai Univ, Inst Robot & Automat Informat Syst, Tianjin 300071, Peoples R China
[3] Texas A&M Univ, Dept Mech Engn, College Stn, TX 77843 USA
[4] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX 77843 USA
基金
美国国家科学基金会;
关键词
Extended Kalman filter (EKF); mobile robots; motion estimation; slip estimation; skid steering; SLIP;
D O I
10.1109/TRO.2009.2026506
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
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.
引用
收藏
页码:1087 / 1097
页数:11
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