Recently studied the application of DSperse in the robotics field. The core idea of this approach is quite interesting—by model decomposition, it allows AI to focus only on the truly critical decision points in autonomous systems, rather than having all information flood the entire process. This method is especially suitable for robots that require rapid responses. Simplifying the decision-making process of the model can both ensure quick reactions and prevent the wastage of computational resources. For autonomous systems, this is indeed a practical optimization approach.