CyberDemo's methodology can be applied to various domains beyond robotics, especially in fields where data collection is expensive, time-consuming, or limited. For example, in healthcare, simulated human demonstrations could be used to train models for medical image analysis or patient diagnosis. By collecting diverse simulation data and augmenting it with different scenarios and conditions, the trained models can exhibit robustness and generalizability when deployed in real-world settings. This approach could also be beneficial in autonomous driving systems, financial forecasting, natural language processing tasks like sentiment analysis or text generation.