An independent field manual for physical AIRev. 2026.11 · 7 chapters · 7 articles
Physical AI Handbook
Contents · 7 chapters

Chapters

The handbook is organised the way a robot programme is: understand the field, choose a model, make it safe, deploy it, and stay inside the rules.

  1. 01

    Foundations

    What physical AI is, how the stack fits together, and the vocabulary you need.

    1 article
  2. 02

    Robot Models

    Vision-language-action models, world models, and the policies that turn pixels into motion.

    1 article
  3. 03

    Safety & Risk

    Risk assessment, functional safety, and what changes when the controller is a neural network.

    1 article
  4. 04

    Deployment

    Getting robots out of the pilot and into production: sites, integration, operations, cost.

    1 article
  5. 05

    Hardware

    Actuators, hands, sensors, compute and batteries — the body the intelligence has to live in.

    1 article
  6. 06

    Simulation & Data

    Where robot training data comes from: teleoperation, simulation, video, and the sim-to-real gap.

    1 article
  7. 07

    Standards & Regulation

    ISO 10218, the EU Machinery Regulation, the AI Act, and who is liable when something goes wrong.

    1 article