Physical AI Lab is a practical library for learning robots without the demo-hype fog. It separates what works in warehouses and factories from what still struggles in homes, shows why hands are harder than wheels, and explains why autonomy is a stack of sensors, controls, policies, tests, and safety cases.
Start with the guidebook shelf for the full reading path, then use the Physical AI Lab Fondsites game track to drill the core ideas: capability envelopes, humanoid tradeoffs, dexterous manipulation, home-robot constraints, warehouse workflows, embodied AI, autonomy levels, and safety design.
