Principles of Robot Autonomy presents a unified introduction to the methods underlying modern autonomous systems, connecting classical robotics with contemporary physical AI. Based on decades of teaching at Stanford, the book covers the core elements of autonomy stacks and pairs major topics with hands-on Jupyter notebooks and implementation-driven exercises. Its intended audience includes students, engineers, and researchers working on robots deployed on roads, in the air, warehouses, and space. The abstract emphasizes practical intuition, theoretical grounding, and deployment-aware system design.
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