Simulation

Real-to-Sim Transfer

Real-to-sim transfer is the construction or calibration of simulation environments from real-world data, reconstructing scene geometry and appearance with photogrammetry, NeRFs, or Gaussian splatting, and identifying dynamics parameters such as mass, friction, and actuator response through system identification. The resulting digital twins support policy training and evaluation matched to a specific deployment site, closing the loop in real-to-sim-to-real pipelines.

Why it matters for physical AI

Building simulators from real scenes attacks the sim-to-real gap at its source, and scene-specific digital twins enable safe policy evaluation and targeted fine-tuning before touching the physical system.