Field notes on machine perception, operational context, agentic intelligence, simulation and intelligent systems that work in the physical world.
Physical AI · Engineering · PracticeFive practical, fully written guides on reliable perception, connected operations, governed industrial intelligence, interoperable hardware and robotic dexterity.
What a shared hardware specification must provide before AI agents can safely discover, understand and operate programmable lab and manufacturing equipment.
A reliable inspection system begins with the physical part, image formation and production decision, not an accuracy score in a notebook.
Industrial data creates value when physical signals are synchronized, given production context and connected to a response someone can own.
Useful industrial agents retrieve governed evidence, work within permissions and keep controlled execution separate from probabilistic reasoning.
A camera can locate an object, but manipulation involving contact requires robots to combine what they see with what they feel and how their own bodies move.