A new Hugging Face report catalogs the critical gap between simulated environments and real-world physics. It analyzes how synthetic data and simulators accelerate robotic learning while warning against the "sim-to-real" gap. Researchers must now prioritize high-fidelity physics engines to prevent model failure during physical deployment. This provides a necessary baseline for embodied AI development.