AI in Physical Systems

Catalog description

Covers the integration of artificial intelligence (AI) into digital twin environments for physical systems such as robots, manufacturing cells and production lines. Using NVIDIA Omniverse as the core simulation and collaboration platform, students learn how to build, simulate and deploy AI-driven virtual twins that replicate real-world robotic and manufacturing processes. Topics include robot simulation and control, data-driven modeling, sensor fusion, reinforcement learning for task optimization, and virtual commissioning workflows. Students gain hands-on experience developing and validating AI-enabled digital twins that accelerate factory design, testing and optimization.