About the handbook
An independent reference on physical AI — written for the engineers, operators and safety people who have to make robots work outside a demo.
What this is
Robots are moving out of fenced cells and into warehouses, hospitals, kitchens and streets, driven by learned models rather than hand-written programs. The knowledge needed to do that well is scattered across research papers, standards documents that cost money to read, vendor marketing and conference hallways.
The Physical AI Handbook collects it in one place and organises it into 7 chapters:Foundations, Robot Models, Safety & Risk, Deployment, Hardware, Simulation & Data and Standards & Regulation.
Who writes it
The handbook is edited by Pradeep. It is a personal project and is not affiliated with any robot manufacturer, model developer or standards body.
How articles are written
- Answers first. Every article opens with its key takeaways, so you can leave after thirty seconds with the conclusion.
- Primary sources. Claims about standards, regulations and models point to the standard, the legal text or the paper — listed at the end of each article.
- Dated revisions. This field changes monthly. Each article shows when it was published and when it was last updated.
- Not legal or safety advice. Articles explain how standards and regulations work. They do not replace the documents themselves, a qualified safety assessor, or a lawyer.
Corrections
If something here is wrong or out of date, that matters more in this field than most. Corrections are made in the article and reflected in its “updated” date.