Wenjian Hao
I am a Ph.D. candidate in the School of Aeronautics and Astronautics at Purdue University, advised by Dr. Shaoshuai Mou. My research focuses on learning and control of complex dynamical systems, particularly data-driven dynamics learning using linear operators, data-efficient reinforcement learning, sampling-based optimal control, safety-critical control, and robotics. My work aims to develop computationally efficient and reliable learning-based control algorithms for autonomous robotic systems by integrating machine learning with control theory. These methods have been applied to a variety of robotic platforms, including manipulators, quadrupeds, drones, and autonomous ground and surface vehicles.