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

机译:滑移式移动机器人的运动学建模与分析及其在基于低成本惯性测量单元的运动估计中的应用

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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.
机译:滑移式移动机器人由于其结构简单,可靠性高而被广泛使用。然而,由于复杂的车轮/地面相互作用和运动学约束,因此了解这种机器人平台的运动学和动力学是一项挑战。在本文中,我们开发了一种运动学建模方案来分析滑移式移动机器人。基于对滑移式移动机器人运动学的分析,我们揭示了车轮滑移与瞬时旋转中心位置之间的潜在几何和运动学关系。作为一个应用示例,我们还将介绍如何仅使用低成本的捷联惯性测量单元将建模和分析用于机器人定位和车轮打滑估计。机器人定位和车轮滑移估计方案基于扩展的卡尔曼滤波器(EKF)设计,该设计结合了运动学约束以提高精度。还介绍了基于EKF的定位和车轮滑移估计方案的性能。估算方法在机器人测试台上进行了测试和验证。

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