Sim-to-Real Gap
The performance gap that appears when a robot policy trained in simulation is deployed in real-world environments
What is the Sim-to-Real Gap?
The Sim-to-Real Gap is the drop in robot performance when a policy that works in simulation is transferred to physical environments. It is typically caused by sensor noise, imperfect physics modeling, and unmodeled real-world variability.
Why does it matter?
Simulation is critical for reducing data collection time and cost, but commercialization depends on reliable real-world execution. If this gap is not managed, deployment quality, safety, and ROI can all degrade.
How is it reduced?
Common methods include domain randomization, fine-tuning with real-world data, improving simulation fidelity, and staged validation before full production rollout.
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