Contact Physical AI Lab

If you have a correction, research lead, deployment note, safety reference, or guidebook topic we should cover next, send it over.

Robotics changes quickly, but durable explanations still matter. Useful messages are specific: the claim, the source, what seems wrong, and how you think it should be framed.

Reach out

Email: [email protected]

Especially useful messages

Corrections

If a guide overstates what a robot can do, understates a risk, or blurs the difference between a demo and a production deployment, tell us.

Field notes

If you work with AMRs, cobots, mobile manipulators, home robots, service robots, humanoids, end-effectors, robot safety, simulation, or fleet operations, concrete field notes are welcome.

Research pointers

Send readable papers, standards, public datasets, safety documents, product manuals, or talks that helped you understand a piece of the physical AI stack.

For now, head back to Physical AI Lab or open the guidebook shelf .