Latest research showcases the MimicGen system, which generates large-scale robot training data in simulated environments using digital twin technology. With less than 200 human demonstrations, it autonomously produces 50,000 training datasets, covering 18 tasks. This approach integrates synthetic data and simulation into AI development, offering nearly limitless training data, and holds significant implications for the robotics field and other AI domains.