Domain Randomization Trend 2026

In machine learning, domain randomization is a technique for training AI models in simulated environments by varying visual and physical properties—like lighting, textures, and object shapes—during training. This forces the model to focus on core features, enabling it to transfer knowledge to the real world without extensive real-world data. Robotics, autonomous driving, and computer vision developers benefit most from this cost-effective approach.