基于多传感器融合的移动机器人SLAM，李金良，孙友霞，针对移动机器人同时定位与地图创建（SLAM）系统在复杂特殊环境中应用时，单一传感器存在漏检且难以解决数据关联的问题，在多维匹��

两轮驱动移动机器人的运动学研究，高清无水印，适合于纯跟踪算法（puresuit）数学模型；建立机器人小车的运动数学模型，在此基础上，详细分析了移动机器人小车的基本运动形式，即直线运动、圆弧运动的实现方式。

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This is a textbook for advanced undergraduate and graduate students in the field of mobile robotics. Emphasising computation and algorithms, the authors address a range of strategies for enabling robots to perform tasks that involve motion and behavior. The book is divided into three major sections: locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots, but discusses a variety of other propulsion systems. Kinematic models are developed for many of the more common locomotive strategies. It presents algorithms for both visual and nonvisual sensor technologies, including sonar, vision, and laser scanners. In the section on reasoning, the authors offer a thorough examination of planning and the issues related to spatial representation. They emphasize the problems of navigation, pose estimation, and autonomous exploration. The book is a comprehensive treatment of the field, offering a discussion of state-of-the art methods with illustrations of key technologies.

自主移动机器人经典教材，包含机器人的运动学和动力学！

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