Probabilistic Robotics

这是一本被机器人领域读者公认为“圣经”的概率学专著，由DARPA项目背景的Thrun撰写。它没有停留在工程技巧层面，而是用一套统一的数学框架——贝叶斯概率模型——统摄机器人在不确定环境下的感知与控制，让算法从“炼丹”式的参数调试，回归到清晰、可推导的理论根基。读者普遍反馈：它的定义、脉络与动机极为清晰，即便跳过繁复的数学推导，也能快速把握SLAM等核心领域的路线图；而认真啃完，则是一次“被虐却畅快”的思维训练。它适合愿意直面数学、追求“知其所以然”的从业者与研究者和计算机视觉、机器学习、概率方向的读者，是构建领域全局观的基石之作。

Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab. Wolfram Burgard is Associate Professor and Head of the Autonomous Intelligent Systems Research Lab in the Department of Computer Science at the University of Freiburg. Dieter Fox is Associate Professor and Director of the Robotics and State Estimation Lab in the Department of Computer Science and Engineering at the University of Washington.