- Cheap scaleFast coverage for policy warm starts and ablations.
- Perfect labelsUseful for controlled evaluation and debugging.
- Controlled resetsBetter for scenario sweeps than live operations.
Real-world vs simulation datasets
Most teams do not need to choose only one. They need to understand where simulation accelerates iteration and where real-world data becomes non-negotiable.
- Sensor noise and calibration drift
- Contact variation and wear
- Human corrections and interventions
- Operational edge cases
Use this page to frame a blended strategy: simulation for coverage, real-world for truth, and evaluation data for deployment confidence.