Digital Twins

Digital twins and simulation technologies create virtual representations of physical systems such as robots, factories, and infrastructure. This topic explores how simulated environments are used to design, test, train, and optimize AI-driven systems before deployment. Digital twins help reduce risk, accelerate development, and improve performance by enabling large-scale experimentation in virtual settings. The topic also covers physics-based simulation, synthetic data generation, and real-to-virtual feedback loops. As physical systems grow more complex, digital twins are becoming essential tools for scalable AI and robotics development.