Intelligent Control & Optimization Lab

Intelligent Control and Optimization Lab pioneers the convergence of model-based control and data-driven learning applied to Motion, Mobility, and Manufacturing systems. We aim to bridge the gap between rigorous control theory and modern AI by fusing physical models with real-world data. This hybrid approach ensures high precision and adaptability in robotic motion, autonomous mobility, and smart manufacturing processes, even under uncertain environments.