❮❯

Our research in Navigation and Tracking focuses on developing the fundamental theories and algorithms that enable spacecraft and autonomous systems to know where they are, where they are going, and how to stay on course. We study estimation and filtering methods that fuse data from sensors, ground-based tracking, and cooperative networks to achieve precise and reliable state knowledge, even in GPS-denied or deep-space environments. By addressing challenges such as uncertainty, robustness, and real-time performance, we advance both the theoretical foundations of estimation and its practical applications. This work supports precision guidance, autonomous decision-making, and resilient mission operations across a wide range of spaceflight scenarios.