Maegan Tucker

Maegan Tucker
mtucker@gatech.edu
Personal Website

Maegan received her Ph.D. in Mechanical Engineering (ME) from the California Institute of Technology (Caltech) in May 2023. Prior, she also received a M.S. in ME from Caltech in 2019 and a B.S. in ME from Georgia Tech in 2017. After graduating with her Ph.D., Maegan conducted a brief postdoc at Caltech (May–August 2023), followed by a brief research position at Disney Research (September–December 2023). Generally speaking, her research interests lie at the intersection of control theory and human-robot interaction, with specific applications towards lower-limb assistive devices. Much of her research is centered around the question: “What is the right way to walk?”. In her free time, Maegan enjoys puzzles, playing video games, and the piano.

Maegan Tucker joined Georgia Tech as an assistant professor with joint appointments in the School of Electrical & Computer Engineering and the School of Mechanical Engineering in January 2024.

Assistant Professor
Additional Research

Lower-Body Assistive Devices Bipedal Locomotion Nonlinear Control Theory Human-Robot Interaction Preference-Based Learning Human Biomechanics

IRI And Role
Google Scholar
https://scholar.google.com/citations?hl=en&user=mgQTjk0AAAAJ&view_op=list_works&sortby=pubdate
LinkedIn ECE Profile Page
Maegan
Tucker
Show Regular Profile

Lonnie Parker

Lonnie Parker
lonnie.parker@gtri.gatech.edu

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. in Electrical & Computer Engineering from Georgia Tech in 2012. His research advisor was Prof. Ayanna M. Howard. Lonnie received an M.S. and B.S. in Electrical Engineering from the Rochester Institute of Technology in 2006.

Collaborative Autonomy Branch Chief - Robotics and Autonomous Systems Division, ATAS Lab @ GTRI
Senior Research Scientist
Additional Research

Collaborative autonomy algorithms Multi-robot systems

IRI And Role
GTRI
Geogia Tech Research Institute > Aerospace, Transportation & Advanced Systems Laboratory
Google Scholar
https://scholar.google.com/citations?hl=en&user=LeY2uTEAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn Aerospace, Transportation & Advanced Systems Laboratory
Lonnie
Parker
Show Regular Profile

Omobolanle Ogunseiju

Omobolanle Ogunseiju
omobolanle@gatech.edu
College of Design Profile Page

Omobolanle Ogunseiju is an assistant professor in the School of Building Construction, at Georgia Tech. Omobolanle received her Ph.D. in Environmental Design and Planning, from the Department of Building Construction, at Virginia Tech.

Her research interests focus on advancing workforce development (safety, health, and well-being), and developing smart communities through the application of wearable robots and Artificial Intelligence (enabled by digital twin, cyber-physical systems, data sensing, and reality capture technologies). She is particularly interested in understanding and shaping the human–technological dynamics involved in workforce development, safety, and health, especially within the construction sector. This includes understanding the ethical concerns of automation and robotics in the construction industry.

Omobolanle is an active member of the Diversity and Inclusion Council at the College of Design. During her Ph.D. studies, Omobolanle was recognized as the outstanding doctoral candidate at the Myers Lawson school of construction, and the outstanding doctoral student in the College of Architecture and Urban Studies at Virginia Tech.

She believes that the next generation of construction engineers should be trained to serve as innovators, risk managers, and leaders that shape public policy. As such, Omobolanle believes that teaching should be based on promoting experiential learning amongst students, applying a variety of engagement techniques, and providing hierarchical learning assessments. Omobolanle developed and teaches Construction Cost Management at the School of Building Construction, Georgia Tech, and will teach and develop Construction Technology courses in the coming semesters. She had the opportunity to teach course sections and conduct laboratories in Smart Construction, Building Systems Technology, and Wireless Sensing in Construction Management as a graduate teaching assistant at Virginia Tech.

Assistant Professor
Phone
404.894.7102
Office
Caddell Building, Rm 233
Additional Research

Workforce Development Data Analytics Construction Safety Construction Robotics Construction Automation

IRI And Role
Google Scholar
https://scholar.google.com/citations?hl=en&user=LrB4zNsAAAAJ&view_op=list_works&sortby=pubdate
Omobolanle
Ogunseiju
Show Regular Profile

Danfei Xu

Danfei Xu
danfei@gatech.edu
College of Computing Profile

Dr. Danfei Xu is an Assistant Professor in the School of Interactive Computing at Georgia Tech. Dr. Xu received a B.S. in Computer Science from Columbia University in 2015 and a Ph.D. in Computer Science from Stanford University in 2021. His research goal is to enable physical autonomy in everyday human environments with minimum expert intervention. Towards this goal, his work draws equally from Robotics, Machine Learning, and Computer Vision, including topics such as imitation & reinforcement learning, representation learning, manipulation, and human-robot interaction. His current research focuses on visuomotor skill learning, structured world models for long-horizon planning, and data-driven approaches to human-robot collaboration.

Assistant Professor; School of Interactive Computing
Additional Research

Artificial Intelligence Computer Vision

Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=J5D4kcoAAAAJ&view_op=list_works&sortby=pubdate
Personal Webpage
Danfei
Xu
Show Regular Profile

Ai-Ping Hu

Ai-Ping Hu
ai-ping.hu@gtri.gatech.edu
Ai-Ping Hu | INTELLIGENT SUSTAINABLE TECHNOLOGIES DIVISION

Ai-Ping Hu is a principal research engineer in the Georgia Tech Research Institute’s Intelligent Sustainable Technologies Division. He received his BS in Mechanical & Aerospace Engineering from Cornell University and Ph.D. from the Georgia Institute of Technology. Prior to joining GTRI in 2009, Dr. Hu co-founded a start-up robotics company applying learning control to achieve high precision in lightweight flexible manufacturing robots.  His current research interests include agricultural robotics, nonlinear control and vision-guided manipulation.

Principal Research Engineer; Georgia Tech Research Institute
Adjunct Professor; Woodruff School of Mechanical Engineering
Phone
404.407.8815
Additional Research

Agricultural Robotics; Nonlinear Control; Vision-Guided Manipulation

Research Focus Areas
IRI And Role
GTRI
Geogia Tech Research Institute > Aerospace, Transportation & Advanced Systems Laboratory
Google Scholar
https://scholar.google.com/citations?hl=en&user=S5cSWVAAAAAJ&view_op=list_works&sortby=pubdate
Ai-Ping
Hu
Show Regular Profile

Yong Kwon Cho

Yong Kwon Cho
yong.cho@ce.gatech.edu
The Robotics & Intelligent Construction Automation Lab

Dr. Yong Cho, MSCE '97, has returned to CEE as an associate professor. Cho comes to Georgia Tech most recently from the University of Nebraska-Lincoln, and the University of Wisconsin-Platteville, where he taught construction engineering, construction management, and architectural engineering after earning his doctorate at the University of Texas in 2000. A 2011 recipient of the NSF Early Career Award, his research interests include construction automation, robotics, and transportation. He is leading the development of a new paradigm in these research areas by challenging the current understanding of science/engineering technologies in construction and sustainable built environments. Among the challenges he is investigating are robotizing several critical construction and maintenance tasks and disaster relief efforts.

Professor; School of Civil and Environmental Engineering
Director; Robotics & Intelligent Construction Automation Lab
Phone
404.385.2038
Office
Mason Building 4140B
Additional Research

robotics in construction and disaster relief; UAV3D visualization; sensing for safety; indoor position tracking

Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=uY6qscIAAAAJ&view_op=list_works&sortby=pubdate
Yong Kwon
Cho
Show Regular Profile

Stuart Michelson

Stuart Michelson
stuart.michelson@gtri.gatech.edu
Georgia Tech Research Institute

Stuart Michelson is a member of the research faculty at the Georgia Tech Research Institute and is known as a subject matter expert in Human Systems Engineering. He leads Human Factors and Ergonomics and Human Systems Integration (HSI) efforts for DoD customers specializing in tactical display design spanning command and control, training, unmanned vehicle ground control stations, Manned-unmanned teaming, and mission planning. He has expertise in digital human modeling/ergonomic/anthropometric analyses to assess cockpit accommodation and experience with wearable soldier systems and tactical equipment design.

Since 2000, Michelson has organized the American venue and annual Symposium on Dynamic Flight Behavior for Aerial Robotics for the International Aerial Robotics Competition (IARC), the longest running collegiate aerial challenge in the world focused on advancing the state of the art in aerial robotic behavior.

Michelson has held an Associate Human Factors Professional status from the Board of Certification in Professional Ergonomics, is recognized as a graphic design professional by the International Academy of Computer Training, and is certified to conduct ethical Human Subjects Research.

Michelson has supported and led numerous programs within the Georgia Tech Research Institute leveraging his knowledge of soldier loadout and autonomous unmanned systems. Notably, he has designed graphical user interfaces, developed human-centered system requirements, led programs to quantify human performance, assessed anthropometric accommodations, and supported system test and evaluation for DoD stakeholders spanning the United States Navy, Air Force, Army, and Marine Corps.

Phone
404.407.6162
Additional Research

Human Machine Teaming in Complex Environments Fully Autonomous Machines Command and Control Design of Complex Systems Human Systems Integration

GTRI
Geogia Tech Research Institute > Electronic Systems Laboratory
LinkedIn Electronic Systems Laboratory
Stuart
Michelson
Show Regular Profile

Eric Marie J. Feron

Eric Marie J. Feron
eric.feron@aerospace.gatech.edu
Personal Webpage

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.

Lecturer; College of Computing
Professor; King Abdullah University of Science and Technology
Research Focus Areas
University, College, and School/Department
Eric Marie
Feron
J.
Show Regular Profile