معرفی
He Bai is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), part of the College of Engineering, Architecture and Technology (CEAT). His research focuses on unmanned systems in GPS-denied environments, multi-agent systems, nonlinear control, atmospheric turbulence modeling, and human-robot interaction. He advises OSU's Mercury Robotics Society and Automation Society and serves as a faculty adviser for graduate and undergraduate students.
Education includes a Ph.D. (2009), M.S. (2007), and B.E. (2005) in Electrical Engineering and Automation from Rensselaer Polytechnic Institute and the University of Science and Technology of China.
Research interests emphasize robust control strategies for autonomous systems, including cooperative navigation, adaptive control under disturbances, and machine learning applications in robotics. His work addresses challenges like wind estimation for unmanned aerial systems (UAS) and human-vehicle collaboration in mixed traffic environments.
Professional roles include Associate Editor for IEEE Control System Letters and the IEEE Control System Society Conferences. Recent publications explore reinforcement learning for multi-agent coordination, decentralized Bayesian learning, and turbulence impact on UAS navigation.
Advising and lab involvement includes directing the Mercury Robotics Society and collaborating on projects like the intelligent cooperative driving testbed. His research bridges theoretical control systems with practical applications in autonomous systems and robotics.
