AI 中文总结
本书基于斯坦福数十年教学经验，构建现代自主栈核心要素，衔接经典机器人学与物理AI，配套Jupyter笔记本与练习，为自主系统相关人员提供实用基础资源。
AI 中文摘要
自主机器人正快速从研究实验室走向日常生活，应用于道路、空中、仓库及太空领域。机器人自主不再仅是学术追求，而是从业者在实际部署中依赖的一系列成熟、经实地测试的方法与工具。本书提供了对实现这一目标的方法的清晰、统一介绍，基于斯坦福大学数十年教学经验，在单一概念框架内构建了现代自主栈的核心要素，衔接经典机器人学与现代物理AI。每个主要主题都配有实用的Jupyter笔记本及以实现为导向的练习，让读者在构建理论理解的同时形成实践直觉。最终为所有旨在设计、分析或推动下一代自主系统发展的人员提供了有原则、易理解且面向部署的基础，是面向进入当今增长最快领域之一的学生、工程师及研究人员的全面资源。
英文摘要
Autonomous robots are moving rapidly from research labs into everyday life - on roads, in the air, in warehouses, and in space. Robot autonomy is no longer solely an academic pursuit, but a collection of mature, field-tested methods and tools that practitioners rely on in real-world deployments. This book offers a clear, unified introduction to the methods that make this possible. Built on decades of teaching at Stanford, the text develops the core elements of modern autonomy stacks within a single conceptual framework, bridging classical robotics and modern physical AI. Every major topic is paired with hands-on Jupyter notebooks and implementation-driven exercises, so readers build practical intuition alongside theoretical understanding. The result is a principled, accessible, and deployment-aware foundation for anyone seeking to design, analyze, or contribute to the next generation of autonomous systems. This is a comprehensive resource for students, engineers, and researchers entering one of today's fastest-growing fields.
Comments531 pages. Pre-publication version of a book forthcoming from Cambridge University Press, posted with the permission of the publisher
