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Physical AI

Giving robots a usable model of the world

Aug 15, 2026 1 min read

A robot can detect a cup. Whether it knows a cup can hold liquid, tips over, and belongs on a table — that’s a different system entirely.

Perception is not understanding

Modern perception is excellent at labels and poor at consequences. Physical AI is the attempt to close that gap: to give an agent structured knowledge it can reason over, not just a stream of detections.

Ontologies as the substrate

Frameworks like KnowRob represent objects, affordances, and actions as a queryable knowledge base. The robot asks questions — what can I do with this? what happens if I tip it? — and gets answers grounded in an explicit model rather than a black box.

It’s unfashionable next to end-to-end learning, but for anything that has to act safely in the real world, an inspectable model of why is worth a lot. Ongoing notes live in knowrob_OPAL.