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).

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. He received his BSE from the University of Pennsylvania, and he received his MS and PhD from Georgia Tech.

Brian Gunter is an Assistant Professor in Aerospace Engineering at the Georgia Institute of Technology. He received his B.S. in mechanical engineering from Rice University, and later his M.S. and Ph.D. in aerospace engineering from the University of Texas at Austin, specializing in orbital mechanics. Prior to joining Georgia Tech, Gunter was on the faculty of the Delft University of Technology (TU-Delft) in the Netherlands, as a member of the Physical and Space Geodesy section. His research activities involve various aspects of spacecraft missions and their applications, such as investigations into current and future laser altimetry missions, monitoring changes in the polar ice sheets using satellite data, applications of satellite constellations/formations, and topics surrounding kinematic orbit determination. He has been responsible for both undergraduate and graduate courses on topics such as satellite orbit determination, Earth and planetary observation, scientific applications of GPS, and space systems design. He is currently a member of the AIAA Astrodynamics Technical Committee, and also serves as the Geodesy chair for the Fall AGU Meeting Program Committee. He has received a NASA group achievement award for his work on the GRACE mission, and he is also a former recipient of a NASA Earth System Science Graduate Fellowship. He is a member of the American Institute of Aeronautics and Astronautics (AIAA), the American Geophysical Union (AGU), and the International Association of Geodesy (IAG).

Education

• B.S., Mechanical Engineering, 1994, Rice University
• M.S., Aerospace Engineering, 2000, The University of Texas at Austin;
• Ph.D., Aerospace Engineering, 2004, The University of Texas at Austin;

Distinctions & Awards

Elected in 2020 to the status of Associate Fellow of the American Institute of Aeronautics and Astronautics; Visiting Research Fellow, Newcastle University, Newcastle-Upon-Tyne, UK, 2011; NASA Earth System Science Graduate Fellowship, 2002-2004; NASA Group Achievement Award, GRACE Project Team, 2004; Dolores Zohr b Liebmann Graduate Fellowship, 2000-2003; Earl Wright Endowed Presidential Scholarship in Engineering, 2000-2001

My research integrates my work in complex fluids and granular media and the biomechanics of locomotion of organisms and robots to address problems in nonequilibrium systems that involve interaction of matter with complex media. For example, how do organisms like lizards, crabs, and cockroaches cope with locomotion on complex terrestrial substrates (e.g. sand, bark, leaves, and grass). I seek to discover how biological locomotion on challenging terrain results from the nonlinear, many degree of freedom interaction of the musculoskeletal and nervous systems of organisms with materials with complex physical behavior. The study of novel biological and physical interactions with complex media can lead to the discovery of principles that govern the physics of the media. My approach is to integrate laboratory and field studies of organism biomechanics with systematic laboratory studies of physics of the substrates, as well as to create mathematical and physical (robot) models of both organism and substrate. Discovery of the principles of locomotion on such materials will enhance robot agility on such substrates

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. Her group explores the use of computer vision, machine learning, estimation, probabilistic inference, kinematics and dynamics to develop autonomous systems in ground, air, and space applications.

She holds a B.S. in Automation from the University of Electronic Science and Technology of China, an M.S. in Control Engineering from Beihang University, and received her M.S. and Ph.D. in Robotics from the University of Michigan, Ann Arbor. Before joining Georgia Tech, she had a two-year appointment as a Postdoctoral Scholar at the Graduate Aerospace Laboratories of the California Institute of Technology and the Center for Autonomous Systems and Technologies at Caltech.

Eric Feron is a professor of Electrical, Computer, and Mechanical Engineering. He is the director of the Robotics, Intelligent Systems, and Control (RISC) Laboratory. He recently joined the KAUST CEMSE Division from the Georgia Institute of Technology. Prior to his time at Georgia Tech, he was an active faculty member in MIT's Aeronautics and Astronautics department from 1993 until 2005. Feron’s career in academia began in Paris, France, where he obtained his B.S. and M.S. from École Polytechnique and École Normale Superieure, respectively. He later completed his Ph.D. in aerospace engineering at Stanford University, U.S. 

Feron's research interests center around the use of elementary concepts of control systems, optimization and computer science to address key issues in modern robotic systems. More specifically, aerobatic control of uncrewed aerial vehicles, multi-agent operations, including air traffic control systems and safety-critical software system certification. Feron is also interested in geometric control systems and control theory in general. Among his latest projects, there are a fractal drone, a few positioning systems, a wheel nature could have invented, and a self-reproducing 3D printer. 

Feron has always taught at least one course per semester since the onset of his academic career. Feron believes teaching offers a fantastic outlet to communicate display his past research and inspire his new research projects with the thoughts of his classroom students. He has taught subjects as diverse as cyber-physical systems, control systems, operations research, linear programming, software engineering, and flight mechanics. Feron is a strong proponent and author of quality online education products. He also believes in communicating knowledge through all available mechanisms, including analytical and experimental, acknowledging the multiple learning modalities preferred by students, undergraduate and graduate.

Erturk began at Georgia Tech in May 2011 as an Assistant Professor, he was promoted to Associate Professor with tenure in 2016 and became a full Professor in 2019. Prior to joining Georgia Tech, he worked as a Research Scientist in the Center for Intelligent Material Systems and Structures at Virginia Tech (2009-2011). His postdoctoral research interests included theory and experiments of smart structures for applications ranging from aeroelastic energy harvesting to bio-inspired actuation. His Ph.D. dissertation (2009) was centered on experimentally validated electromechanical modeling of piezoelectric energy harvesters using analytical and approxIMaTe analytical techniques. Prior to his Ph.D. studies in Engineering Mechanics at Virginia Tech, Erturk completed his M.S. degree (2006) in Mechanical Engineering at METU with a thesis on analytical and semi-analytical modeling of spindle-tool dynamics in machining centers for predicting chatter stability and identifying interface dynamics between the assembly components.

Dr. Dellaert does research in the areas of robotics and computer vision, which present some of the most exciting challenges to anyone interested in artificial intelligence. He is especially keen on Bayesian inference approaches to the difficult inverse problems that keep popping up in these areas. In many cases, exact solutions to these problems are intractable, and as such he is interested in examining whether Monte Carlo (sampling-based) approxIMaTions are applicable in those cases.