David Hu

David Hu
hu@me.gatech.edu
HU Laboratory for Biolocomotion

David Hu is a fluid dynamicist with expertise in the mechanics of interfaces between fluids such as air and water. He is a leading researcher in the biomechanics of animal locomotion. The study of flying, swimming and running dates back hundreds of years, and has since been shown to be an enduring and rich subject, linking areas as diverse as mechanical engineering, mathematics and neuroscience. Hu's work in this area has the potential to impact robotics research. Before robots can interact with humans, aid in minimally-invasive surgery, perform interplanetary exploration or lead search-and-rescue operations, we will need a fundamental physical understanding of how related tasks are accomplished in their biological counterparts. Hu's work in these areas has generated broad interest across the fields of engineering, biology and robotics, resulting in over 30 publications, including a number in high-impact interdisciplinary journals such as Nature, Nature Materials, Proceedings of the National Academy of Sciences as well as popular journals such as Physics Today and American Scientist. Hu is on editorial board member for Nature Scientific Reports, The Journal of Experimental Biology, and NYU Abu Dhabi's Center for Center for Creative Design of Materials. He has won the NSF CAREER award, Lockheed Inspirational Young Faculty award, and best paper awards from SAIC, Sigma Xi, ASME, as well as awards for science education such as the Pineapple Science Prize and the Ig Nobel Prize. Over the years, Hu's research has also played a role in educating the public in science and engineering. He has been an invited guest on numerous television and radio shows to discuss his research, including Good Morning America, National Public Radio, The Weather Channel, and Discovery Channel. His ant research was featured on the cover of the Washington Post in 2011. His work has also been featured in The Economist, The New York Times, National Geographic, Popular Science and Discover His laboratory appeared on 3D TV as part of a nature documentary by 3DigitalVision, "Fire ants: the invincible army," available on Netflix.

Professor, George W. Woodruff School of Mechanical Engineering
Professor, School of Biology
Director, Hu Lab for Biolocomotion
Phone
404.894.0573
Office
LOVE 124
Additional Research

Fluid Mechanics: Fluid dynamics, solid mechanics, biomechanics, animal locomotion, and physical applied mathematics. Dr. David Hu's research focuses on fundamental problems of hydrodynamics and elasticity that have bearing on problems in biology. He is interested in the dynamics of interfaces, specifically those associated with fluid-solid and solid-solid interactions. The techniques used in his work include theory, computation, and experiment. He is also interested in pursuing biomimetic technologies based on nature's designs.

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Daniel Goldman

Daniel Goldman
dgoldman3@gatech.edu
The Crab Lab

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

Dunn Family Professor; School of Physics
Director; Complex Rheology And Biomechanics (CRAB) Lab
Phone
404.894.0993
Office
Howey C202
Additional Research

biomechanics; neuromechanics; granular media; robotics; robophysics

University, College, and School/Department
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Frank Hammond III

Frank  Hammond III
frank.hammond@me.gatech.edu
The Adaptation Robotic Manipulation Laboratory

Frank L. Hammond III joined George W. Woodruff George W. Woodruff School of Mechanical Engineering in April 2015. Prior to this appointment, he was a postdoctoral research affiliate and instructor in the Department of Mechanical Engineering at MIT and a Ford postdoctoral research fellow at the Harvard School of Engineering and Applied Sciences. He received his Ph.D. in 2010 from Carnegie Mellon University.

Assistant Professor, School of Mechanical Engineering
Director, The Adaptation Robotic Manipulation Laboratory
Phone
404.385.4208
Office
UA Whitaker Room 4102
Additional Research

Hammond's research focuses on the design and control of adaptive robotic manipulation (ARM) systems. This class of devices exemplified by kinematic structures, actuation topologies, and sensing and control strategies that make them particularly well-suited to operating in unstructured, dynamically varying environments - specifically those involving cooperative interactions with humans. The ARM device design process uses an amalgamation of bioinspiration, computational modeling and optimization, and advanced rapid prototyping techniques to generate manipulation solutions which are functionally robust and versatile, but which may take completely non-biomorphic (xenomorphic) forms. This design process removes human intuition from the design loop and, instead, leverages computational methods to map salient characteristics of biological manipulation and perception onto a vast robotics design space. Areas of interest for ARM research include kinematically redundant industrial manipulation, wearable robotic devices for human augmentation, haptic-enabled teleoperative robotic microsurgery, and autonomous soft robotic platforms.

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Matthew Hale

Matthew Hale
mhale30@gatech.edu
Control, Optimization, & Robotics Engineering Lab

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.

Associate Professor
Additional Research

Asynchronous network coordination Graph theory in multi-agent systems.Privacy in control 

IRI And Role
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Gary McMurray

Gary McMurray
gary.mcmurray@gtri.gatech.edu
GTRI FT

After earning bachelor’s and master’s degrees in mechanical engineering from Georgia Tech, Gary McMurray interviewed for a number of jobs. Most were in the defense industry, and the job duties were very specific.

“I joke about one job that was to design fuel pumps for the aft section of cargo planes,” McMurray recalled. “I asked, ‘Well, what if I want to design fuel pumps for the front section?’ They said, ‘No. That’s a different skill set.’”

The job sounded too constraining and unappealing to McMurray, so he continued his job search, interviewing with the Georgia Tech Research Institute (GTRI) in 1989. He had been working in robotics, a relatively new field at the time.

“I was looking for something in robotics, and GTRI was trying to get into robotics,” he said. “They didn’t have anybody working in that field at all, so I was really the first person hired to work in that area. It gave me an opportunity to start from scratch and develop something unique and different. I really enjoyed that.”

Three decades later, McMurray still works at GTRI.

“I wear two hats in the organization,” he said. He is the division chief for the Intelligent Sustainable Technologies Division, and an associate director for the Institute for Robotics and Intelligent Machines (IRIM), working with director Seth Hutchinson.

The Intelligent Sustainable Technologies Division conducts research to improve the human condition through transforming the agricultural and food systems, sustainable use and access to energy and water, and improving workplace safety and pandemic response. IRIM is an umbrella under which robotics researchers, educators, and students from across campus can come together to advance a wide variety of robotics activities at the Institute.

The Intelligent Sustainable Technologies Division has approximately 36 research faculty and 40 students. The unit hires about 10% of all the students at GTRI and maintains close ties with the academic side of campus.

“One of the things I enjoy in my role as a division chief is the ability to set the vision and mission,” McMurray said. “We’re a little bit different from the rest of GTRI because we don’t do the Department of Defense work. We work a lot with the campus, but we also work with other universities on sustainability projects regarding food or energy. The projects have the potential to make a big impact. I describe it as having one foot on the basic research side and one foot on the applied side. We have master’s and Ph.D. students doing cutting-edge basic research, and we’re also building systems and applying research and deploying things into the field.”

The division’s food processing research includes improving yield, food quality, and food safety while minimizing the environmental impact by applying image processing, robotics, biosensors, and environmental treatment technologies. The division also conducts air quality research, including monitoring and reducing the effects of vehicular emissions.

So, what’s the connection between food processing and auto emissions?

“To solve problems in both of those areas we employ general research technologies — robotics, chemical and biological sensing, data analytics, machine learning, systems engineering, and then energy and materials,” McMurray said. “Approaches that work in traditional manufacturing may not work in the food industry. There is no CAD drawing for a boneless chicken breast or a chicken leg. Each one is different. It’s also wet, slippery, and could be spoiled.”

That’s where sensing and data analytics come into play. The same applies to analyzing vehicular emissions.

“When you look at food processing, our work really brings together all of these different skill sets. And then when you look at the data analytics side of air quality emissions, the team has the longest continuous set of data about air quality in the city. This has been the key database that the EPA uses for studying carbon emissions for automobiles,” McMurray said.

After more than 30 years at GTRI, McMurray still gets excited when a plan comes together.

“The most rewarding part of the work is when you can bring together the basic research and the applied, build a system that does something new and novel, put it into the field and test it, and have somebody come back and say, ‘That’s really cool. That worked.’”

Deputy Director; Institute for Robotics and Intelligent Machines
Division Chief | Robotics, Modeling, & Sensing for Agriculture; Georgia Tech Research Institute
Principal Research Engineer; Georgia Tech Research Institute
Phone
404.407.8844
Additional Research

Robotics; Modeling; Controls

Research Focus Areas
GTRI
Geogia Tech Research Institute > Food Processing Technology Division
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Brian Gunter

Brian Gunter
brian.gunter@ae.gatech.edu
Reaearch Website

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

Associate Professor
Phone
404.385.2345
Office
ESM 205
Additional Research

satellite geodesy; space systems; orbital mechanics; Earth and planetary observation; remote sensing

Research Focus Areas
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Cédric Pradalier

Cédric Pradalier
cedric.pradalier@georgiatech-metz.fr
The DREAM Lab

Prof. Pradalier is Associate Professor at GeorgiaTech Lorraine, the French campus of the Georgia Institute of Technology (a.k.a. GeorgiaTech) since September 2012. He defended his “Habilitation à Diriger des Recherches” (Authority to Supervise Research) in 2015 on the topic of “Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments” at the National Polytechnic Institute of Toulouse (INPT). 

His objective is to extend the activity of the CNRS IRL2958 GT-CNRS towards robotics, leveraging on one side the strong robotic research inside CNRS and on the other side the collaboration potential with the Robotics and Intelligent Machines (RIM) laboratory at GTL. 

At the IRL, he is now the coordinator of the H2020 BugWright2 project, has been involved in H2020 project Flourish and PF7 project Noptilus, as well as in projects on environmental monitoring. 

From November 2007 until December 2012, Dr. Pradalier has been deputy director in the Autonomous Systems Lab at ETH Zürich. In this role, he was the technical coordinator of the V-Charge project (IP, 2010-2014) and also involved in the development of innovative robotic platforms such as autonomous boats for environment monitoring or prototype space rovers funded by the European Space Agency. He is a founding member of the ETH start-up Skybotix, within which he was responsible for software development and integration. 

From 2004 to 2007, Dr. Pradalier was a research scientist at CSIRO Australia. He was then involved in the development of software for autonomous large industrial robots and an autonomous underwater vehicle for the monitoring of the Great Barrier Reef, Australia. 

He received his Ph.D. in 2004 from the National Polytechnic Institute of Grenoble (INPG) on the topic of autonomous navigation of a small urban mobility system and he is Ingénieur from the National Engineering School for Computer Science and Applied Math in Grenoble (ENSIMAG).

Professor; Georgia Tech Lorraine
Phone
+33(0) 3 8720.3925
Office
Georgia Tech Lorraine | Unite Mixte Internationale 2958 | 2 Rue Marconi | 57070 Metz, France
Research Focus Areas
IRI And Role
Georgia Tech Lorraine
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Michael (Mick) West

Michael (Mick) West
mick.west@ece.gatech.edu

Michael (Mick) West joined ECE from the Georgia Tech Research Institute (GTRI) in 2022. He received his Ph.D. in electrical engineering from the University of Hawaii (UH) in 2006 and has over 28 years of professional experience with over 40 refereed journals and conference papers. 

West specializes in the development unmanned systems in extreme environments (under-ice, planetary, deep ocean, polar). He has been an invited speaker for United States Congressional leaders and their staff and top military personnel in the development of roadmaps for advancing current robotics research. He has served as PI on several Unmanned Systems programs developing novel enabling technologies including advanced control and power systems on underwater, ground, air and space platforms. West developed the first-of-its-kind under-ice vehicle, Icefin, in order to gather information about the changing polar ice and provide insight into areas of climate science, as well as biology and planetary science. The vehicle has been deployed over five seasons through the Ross Ice Shelf in Antarctica and provided never before seen images and scientific data of the Antarctic seafloor.

Senior Research Scientist; Georgia Tech Research Institute
Phone
404-407-8638
Office
Klaus 2316
Additional Research

Collaborative Robotics

Research Focus Areas
IRI And Role
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Charles Pippin

Charles Pippin
charles.pippin@gtri.gatech.edu
Charles Pippin @ Georgia Tech

Charles Pippin is a Senior Research Scientist at the Georgia Tech Research Institute, GTRI. His research interests include collaborative autonomy algorithms, machine learning, and multi-robot systems. In his current work, he is investigating cooperation between autonomous systems, as part of GTRI's Unmanned Systems Initiative. Charles received a Ph.D. in Computer Science from Georgia Tech in 2013. His research advisor was Prof. Henrik I. Christensen. Charles received an M.S. in Computer Science from Georgia Tech in 2004 and holds a B.S. in Computer Science from the University of Alabama in Huntsville.

Senior Research Scientist; Georgia Tech Research Institute
Office
GTRI
Additional Research

collaborative autonomy algorithms; machine learning; and multi-robot systems

Research Focus Areas
IRI And Role
GTRI
Geogia Tech Research Institute > Aerospace, Transportation & Advanced Systems Laboratory
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Matthew T. Flavin

Matthew T. Flavin; ECE
mflavin@gatech.edu
Lab Website

Prof. Matthew Flavin is an assistant professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology where he leads the Flavin Neuromachines Lab. Before joining the faculty at Georgia Tech, he was a postdoctoral researcher at Northwestern University. He received his M.S. and Ph.D. degrees in Electrical Engineering in 2017 and 2021 from the Massachusetts Institute of Technology (MIT), and he received his B.S. in Electrical Engineering in 2015 from the University of Illinois at Urbana-Champaign (UIUC). He received the NIH Ruth L. Kirschstein Institutional National Research Service Award (T32) and the Draper Laboratory Fellowship. The vision for his independent research program is to develop powerful peripheral neural interfaces and mechatronic wearables that leverage advanced sensors and intelligent systems to address important and unresolved challenges in patient care.

Assistant Professor
Office
Van Leer 325A
Additional Research
  • Bioengineering
  • Biotechnology
  • Communications
  • Computer Engineering
  • Cyber Technology
  • Cyber-Physical Systems
  • Drug Design, Development and Delivery
  • Electronic Materials
  • Energy Harvesting
  • Flexible Electronics
  • Healthcare
  • Human Augmentation
  • Human-Centered Robotics
  • IoT for Manufacturing
  • IoT/Machine-to-Machine Trust
  • Lifelong Health and Well-Being
  • Locomotion & Manipulation
  • Machine Learning
  • Medical Device Design, Development and Delivery
  • Micro and Nano Device Engineering
  • Miniaturization & Integration
  • Mobile & Wireless Communications
  • Neuroscience
  • Precision Machining
  • Regenerative Medicine
  • Robotics
  • Soft Robotics
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