Research Overview

The Autonomous and Intelligent Systems Laboratory (AISL) conducts cutting-edge research to advance autonomous intelligent systems, emphasizing guidance, perception and inference, and control, with applications in flight vehicles, mobility systems, and smart robotics. Our work bridges theoretical and practical domains, with a particular focus on knowledge-integrated machine learning, stability-assured learning, and robust control. By combining data-driven approaches with domain knowledge, we strive to develop reliable and resilient systems capable of navigating complex and dynamic environments.