Physical AI Guide¶

Welcome to the Physical AI Guide, a hands-on resource for scientists, engineers, and strategists ramping up on physical AI.

What You'll Find Here¶

This guide covers the end-to-end stack for building AI systems that perceive, reason about, and act in the physical world:

Introduction — What physical AI is, example problems, and learning paths
Data Collection — Teleoperation and simulation-based data generation
Simulation — Tools and platforms for training and testing in virtual environments
Models — Computer vision, vision-language models, vision-language-action models, and world foundation models
Edge Operations — Deploying, optimizing, and monitoring models on edge devices
Robot Setups — Hardware configurations and getting started guides
Responsible AI — Safety, compliance, and governance for physical AI systems

Start with What is Physical AI? for an overview of the field.