Warren Lee
Autonomy
Autonomy
Autonomy
Mike Heiges received the Ph.D. degree from the Georgia Tech School of Aerospace Engineering, in 1989. He is currently a Principal Research Engineer with the Georgia Tech Research Institute, where he works as the Associate Division Chief of the Robotics and Autonomous Systems Division. His background is in aircraft flight dynamics and automatic control and he manages several of GTRI’s swarming UAV programs. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the Association for Unmanned Vehicle Systems International (AUVSI).
Autonomy
Autonomy
Autonomy
Autonomy
Autonomy
Matthew Hale joined the School of Electrical and Computer Engineering at Georgia Tech as an Associate Professor in the spring of 2024. His research interests include multi-agent control and optimization, deceptive decision-making, and applications of these methods to drones and other robots. He has received the NSF CAREER Award, ONR YIP, and AFOSR YIP. Prior to joining Georgia Tech, Matthew was Assistant Professor of Mechanical and Aerospace Engineering at the University of Florida.
Dr. Lonnie Parker is the Collaborative Autonomy Branch Chief in the Robotics and Autonomous Systems Division of the ATAS Laboratory at GTRI and serves as the PI for multiple programs. He has 10+ years of experience in managing DoD-sponsored projects and is focused on designing collaborative behaviors for unmanned systems in both the maritime and air domains. Prior to joining GTRI, Dr. Parker spent seven years at a NAVSEA warfare center, NUWC Division Newport, where he performed research into maritime autonomy through ONR-sponsored and internally funded efforts. Lonnie received a Ph.D.
Lu Gan joined the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology as an Assistant Professor in January 2024. She leads the Lu's Navigation and Autonomous Robotics (Lunar) Lab at Georgia Tech, and is on the core faculty of the Institute for Robotics and Intelligent Machines. Her research interests include robot perception, robot learning, and autonomous navigation.