Physical AI has moved past proof-of-concept. Large models, better simulation, and faster hardware have pushed embodied intelligence forward—but real-world manipulation is still the limiting factor.
Not perception.
Not planning.
Manipulation.
Robots can see the world with increasing clarity, yet still struggle to interact with it reliably. The reason is simple: vision-only systems don’t experience contact. And without contact, learning stalls.
Physical AI matters because it closes that gap. It connects sensing, decision-making, and action in the real world—where objects slip, deform, collide, and behave in ways simulation still cannot fully capture.
Touch is no longer optional. It’s the missing signal.
Physical AI has moved past proof-of-concept. Large models, better simulation, and faster hardware have pushed embodied...
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