Our lab is dedicated to advancing research at the intersection of theory, simulation, and experimentation. On the theoretical front, we explore fundamental problems in dynamical systems, control theory, and robust optimization. Our research translates into practical impact through the development of cutting-edge methods and algorithms applied to real-world systems. We focus on diverse applications, including control of robotics systems, off-road autonomy for ground vehicles, and power system dynamics and control. By integrating rigorous mathematical frameworks with experimental validation, we aim to bridge the gap between theory and practice, driving innovation in autonomous systems and complex dynamical networks.