Karen M. Feigh

Karen M. Feigh

Karen M. Feigh

Professor & Associate Chair for Research; School of Aerospace Engineering
Director; Georgia Tech Cognitive Engineering Center

Karen M. Feigh is a Professor at Georgia Tech's Daniel Guggenheim School of Aerospace Engineering with a courtesy appointment in the School of Interactive Computing. As the director of the Georgia Tech Cognitive Engineering Center, she leads a research and education program focused on the computational cognitive modeling and design of cognitive work support systems and technologies to improve the performance of socio-technical systems. She is responsible for undergraduate and graduate level instruction in the areas of flight dynamics, human reliability analysis methods, human factors, human-automation interaction and cognitive engineering. Feigh has over 14 years of relevant research and design experience in fast-time air traffic simulation, ethnographic studies, airline operation control centers, synthetic vision systems for helicopters, expert systems for air traffic control towers, human extra-vehicular activities in space, and the impact of context on undersea warfighters. Recently her work has focused on human-autonomy teaming and the human experience of machine learning across a number of domains.

Feigh has served as both Co-PI and PI on a number of FAA, NIA, ONR, NSF and NASA sponsored projects. As part of her research, Feigh has published 35 scholarly papers in the field of Cognitive Engineering with primary emphasis on the aviation industry. She serves as an Associate Editor for the Journal of Cognitive Engineering and Decision Making. She previously served as the Chair to the Human Factor and Ergonomics Society’s Cognitive Engineering and Decision Making Technical Group, and on the National Research Council’s Aeronautics and Space Engineering Board (ASEB).

karen.feigh@gatech.edu

404.385.7686

Office Location:
MK 321-3

AE Page

Google Scholar

Research Focus Areas:
  • Collaborative Robotics
  • Additional Research:

    Cognitive engineering; human factors; adaptive automation


    IRI Connections:

    David Hu

    David Hu

    David Hu

    Professor, George W. Woodruff School of Mechanical Engineering
    Professor, School of Biology
    Director, Hu Lab 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.

    hu@me.gatech.edu

    404.894.0573

    Office Location:
    LOVE 124

    HU Laboratory for Biolocomotion

  • ME Profile Page
  • Google Scholar

    Research Focus Areas:
  • Autonomy
  • Miniaturization & Integration
  • Molecular, Cellular and Tissue Biomechanics
  • 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.


    IRI Connections:

    Daniel Goldman

    Daniel Goldman

    Daniel Goldman

    Dunn Family Professor; School of Physics
    Director; Complex Rheology And Biomechanics (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

    dgoldman3@gatech.edu

    404.894.0993

    Office Location:
    Howey C202

    The Crab Lab

  • Profile on GT Physics
  • Google Scholar

    University, College, and School/Department
    Research Focus Areas:
  • Autonomy
  • Molecular, Cellular and Tissue Biomechanics
  • Neuroscience
  • Systems Biology
  • Additional Research:

    biomechanics; neuromechanics; granular media; robotics; robophysics


    IRI Connections:

    Frank Hammond III

    Frank  Hammond III

    Frank Hammond III

    Assistant Professor, School of Mechanical Engineering
    Director, 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.

    frank.hammond@me.gatech.edu

    404.385.4208

    Office Location:
    UA Whitaker Room 4102

    The Adaptation Robotic Manipulation Laboratory

  • ME Profile Page
  • Google Scholar

    Research Focus Areas:
  • Flexible Electronics
  • Human Augmentation
  • 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.


    IRI Connections:

    Seth Hutchinson

    Seth Hutchinson

    Seth Hutchinson

    Executive Director of the Institute for Robotics and Intelligent Machines, Professor and KUKA Chair for Robotics

    I am currently Professor and KUKA Chair for Robotics in the School of Interactive Computing, and the Executive Director of the Institute for Robotics and Intelligent machines at the Georgia Institute of Technology. I am also Emeritus Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign.

    seth@gatech.edu

    404-385-7583

    Office Location:
    Klaus Advanced Computing Building | Suite 1322

    Personal Page

  • College of Computing Profile
  • Google Scholar

    Research Focus Areas:
  • Autonomy
  • Shaping the Human-Technology Frontier
  • Additional Research:

    Robots never know exactly where they are, what they see, or what they're doing. They live in dynamic environments, and must coexist with other, sometimes adversarial agents. Robots are nonlinear systems that can be underactuated, redundant, or constrained, giving rise to complicated problems in automatic control. Many of even the most fundamental computational problems in robotics are provably hard. Over the years, these are the issues that have driven my group's research in robotics. Topics of our research include visual servo control, planning with uncertainty, pursuit-evasion games, as well as mainstream problems from path planning and computer vision.


    IRI Connections:

    Frank Dellaert

    Frank  Dellaert

    Frank Dellaert

    Professor; School of Interactive Computing
    Robotics Ph.D. Coordinator; College of Computing

    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.

    frank.dellaert@cc.gatech.edu

    404.385.2923

    Office Location:
    GVU Center

    IC Page

    Google Scholar

    Research Focus Areas:
  • Autonomy
  • Shaping the Human-Technology Frontier
  • Additional Research:

    Advanced sequential Monte Carlo methods; Spatio-Temporal Reconstruction from Images; Simultaneous Localization and Mapping; Robotics; Computer Vision


    IRI Connections:

    Jeff Garbers

    Jeff  Garbers

    Jeff Garbers

    Principal Development Officer; VentureLab

    Jeff comes to VentureLab after 35 years in the personal computing industry, focusing on communications, mobility, Internet services, and usability. As a software developer and architect from the earliest days of the PC, Jeff has been instrumental in creating applications and co-founding companies that led their markets and were highly regarded by customers and the industry. He co-founded his first startup with his Georgia Tech graduate advisor in 1982, and sold his most recent company, Rover Apps, in 2013. Jeff earned an AB in Mathematics from Wabash College, and his MS in Information and Computer Science from Georgia Tech. His personal passions include FIRST Robotics and STEM education for young people.

    jeff.garbers@venturelab.gatech.edu

    Vlab Page

    Research Focus Areas:
  • Collaborative Robotics
  • Additional Research:

    Collaborative Robotics; Innovation


    IRI Connections:
    IRI And Role

    Matthew Hale

    Matthew Hale

    Matthew Hale

    Associate Professor

    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.

    mhale30@gatech.edu

    Control, Optimization, & Robotics Engineering Lab

    Google Scholar

    Research Focus Areas:
  • Algorithms & Optimizations
  • Autonomy
  • Robotics
  • Additional Research:

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


    IRI Connections:
    IRI And Role

    Gary McMurray

    Gary McMurray

    Gary McMurray

    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

    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.’”

    gary.mcmurray@gtri.gatech.edu

    404.407.8844

    GTRI FT

    Research Focus Areas:
  • Autonomy
  • Additional Research:

    Robotics; Modeling; Controls


    IRI Connections:

    Wayne J. Book

    Wayne J. Book

    Wayne Book

    Professor Emeritus, School of Mechanical Engineering

    Dr. Book began at Tech in 1974 as an assistant professor. He has maintained a longstanding interest in robotics, automatic controls, and in the special topic of his Ph.D. thesis, the control of flexible motion systems. 

    He was instrumental in the formation of the Computer Integrated Manufacturing Systems (CIMS) Program at Georgia Tech, serving as its founding director from 1983 to 1988. In 2001, he was appointed to the HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control. Shortly thereafter he established the Georgia Tech Fluid Power and Motion Control Center. 

    He retired from Georgia Tech in June of 2011 and was granted emeritus status and continues to be active in that capacity.

    wayne.book@me.gatech.edu

    Intelligent Machine Dynamics Laboratory

    Research Focus Areas:
  • Collaborative Robotics

  • IRI Connections:
    IRI And Role