PHYSICAL AI

Samsung, Kakao Mobility and LG detail different stages of physical AI work

By IDAKIM Digital · Published November 9, 2026

NVIDIA’s industrial update spans semiconductor simulation, planned autonomous-driving development and a factory robotics demonstration.

The publisher’s new physical AI report describes three collaborations with different maturity levels. Samsung is working on accelerated semiconductor engineering and AI physics, including sparse-system computation, materials calculations and thermal or mechanical analysis. NVIDIA reports selected quantum-chemistry calculations up to five times faster end to end, and one homogenization example dropping from roughly 18 hours on a fine-grid CPU solve to 41 seconds with AI properties, a coarser grid and GPU acceleration. That comparison changes more than the processor and should not be read as a general hardware-only speedup. Kakao Mobility plans level-4 driving development with NVIDIA Hyperion, DRIVE AGX Thor and Halos, initially around Kia purpose-built vehicles. Separately, NVIDIA and LG say they demonstrated GR00T-powered CLOiD manipulation in an actual manufacturing environment, using a data, simulation and training loop. These are provider-reported plans and demonstrations, not a certification of autonomous operation.

Why it matters

Choose the evidence appropriate to each claim: numerical validation for a simulation shortcut, scenario and safety testing for driving, and repeatable task success for factory manipulation. A shared physical AI label does not make a planned driving program equivalent to a completed robot demonstration.

Source: NVIDIA · November 8–9, 2026

Product claims are attributed to the linked publisher. IDAKIM Digital has not independently tested these claims.