Domain Randomization Trend 2026

Domain Randomization varies simulated environments—lighting, textures, physics—during training so AI models generalize to real-world conditions. Primarily used in robotics and computer vision, it reduces the sim-to-real gap without costly real data. Researchers, engineers, and autonomous system developers benefit most, enabling faster, more robust deployment.