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:

    Jaydev Desai

    Jaydev Desai

    Jaydev Desai

    Professor and Distinguished Faculty Fellow, Wallace H. Coulter Department of Biomedical Engineering
    Associate Director, Institute for Robotics and Intelligent Machines
    Director, Georgia Center for Medical Robotics

    Jaydev P. Desai, Ph.D, is currently a Professor and BME Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. Prior to joining Georgia Tech in August 2016, he was a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park (UMCP). He completed his undergraduate studies from the Indian Institute of Technology, Bombay, India, in 1993. He received his M.A. in Mathematics in 1997, M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics in 1995 and 1998 respectively, all from the University of Pennsylvania. He was also a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 grants, NSF CAREER award, and was also the lead inventor on the "Outstanding Invention of 2007 in Physical Science Category" at the University of Maryland, College Park. He is also the recipient of the Ralph R. Teetor Educational Award. In 2011, he was an invited speaker at the National Academy of Sciences "Distinctive Voices" seminar series on the topic of "Robot-Assisted Neurosurgery" at the Beckman Center. He was also invited to attend the National Academy of Engineering's 2011 U.S. Frontiers of Engineering Symposium. He has over 150 publications, is the founding Editor-in-Chief of the Journal of Medical Robotics Research, and Editor-in-Chief of the Encyclopedia of Medical Robotics (currently in preparation). His research interests are primarily in the area of image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics. He is a Fellow of the ASME and AIMBE.

    jaydev@gatech.edu

    404.385.5381

    Office Location:
    UA Whitaker Room 3112

    Website

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    Research Focus Areas:
    • Cancer Biology
    • Human Augmentation
    • Miniaturization & Integration
    • Neuroscience
    Additional Research:
    Image-guided surgical robotics, Rehabilitation robotics; Cancer diagnosis at the micro-scale.

    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:

    Ronald C. Arkin

    Ronald C. Arkin

    Ronald C. Arkin

    Regents' Professor; School of Interactive Computing
    Director; Mobile Robot Laboratory

    Ronald C. Arkin received the B.S. Degree from the University of Michigan, the M.S. Degree from Stevens Institute of Technology, and a Ph.D. in Computer Science from the University of Massachusetts, Amherst in 1987. He then assumed the position of Assistant Professor in the College of Computing at the Georgia Institute of Technology where he now holds the rank of Regents' Professor and is the Director of the Mobile Robot Laboratory. He also serves as the Associate Dean for Research in the College of Computing at Georgia Tech since October 2008. During 1997-98, Professor Arkin served as STINT visiting Professor at the Centre for Autonomous Systems at the Royal Institute of Technology (KTH) in Stockholm, Sweden. From June-September 2005, Prof. Arkin held a Sabbatical Chair at the Sony Intelligence Dynamics Laboratory in Tokyo, Japan and then served as a member of the Robotics and Artificial Intelligence Group at LAAS/CNRS in Toulouse, France from October 2005-August 2006.

    arkin@cc.gatech.edu

    (404) 894-8209

    Office Location:
    GVU/TSRB

    College of Computing Profile Page

  • Mobile Robot Lab
  • Research Focus Areas:
    • Autonomy
    • Shaping the Human-Technology Frontier
    Additional Research:
    Artificial intelligence; Robotics; Robot ethic; Autonomous agents; Mobile Robots and Unmanned Vehicles; Multi-Agent Robotics; Machine Learning

    IRI Connections:

    Sonia Chernova

    Sonia Chernova

    Sonia Chernova

    Associate Professor; School of Interactive Computing
    Director; Robot Autonomy and Interactive Learning (RAIL) Lab

    I am an Associate Professor in the School of Interactive Computing at Georgia Tech. I received my Ph.D. and B.S. degrees in Computer Science from Carnegie Mellon University, and held positions as a Postdoctoral Associate at the MIT Media Lab and as Assistant Professor at Worcester Polytechnic Institute prior to joining Georgia Tech. I direct the Robot Autonomy and Interactive Learning (RAIL) lab, where we work on developing robots that are able to effectively operate in human environments. My research interests span robotics and artificial intelligence, including semantic reasoning, adjustable autonomy, human computation and cloud robotics. Please visit the RAIL lab website for a description of our latest projects.

    chernova@cc.gatech.edu

    404.385.4753

    Personal Page

  • RAIL Lab
  • Google Scholar

    Research Focus Areas:
    • Artificial Intelligence (AI)
    • Collaborative Robotics
    • Shaping the Human-Technology Frontier
    Additional Research:
    Robotics; Artificial Intelligence; Semantic Reasoning; Adjustable Autonomy; Human Computation and Cloud Robotics.

    IRI Connections:

    Omer Inan

    Omer Inan

    Omer Inan

    Professor, School of Electrical and Computer Engineering
    Linda J. and Mark C. Smith Chair, School of Electrical and Computer Engineering

    Omer T. Inan received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from Stanford University in 2004, 2005, and 2009, respectively.

    He worked at ALZA Corporation in 2006 in the Drug Device Research and Development Group. From 2007-2013, he was chief engineer at Countryman Associates, Inc., designing and developing several high-end professional audio products. From 2009-2013, he was a visiting scholar in the Department of Electrical Engineering at Stanford. In 2013, he joined the School of ECE at Georgia Tech as an assistant professor.

    Inan is generally interested in designing clinically relevant medical devices and systems, and translating them from the lab to patient care applications. One strong focus of his research is in developing new technologies for monitoring chronic diseases at home, such as heart failure.

    He and his wife were both varsity athletes at Stanford, competing in the discus and javelin throw events respectively.

    omer.inan@ece.gatech.edu

    404.385.1724

    Office Location:
    TSRB 417

    INAN RESEARCH LAB

  • ECE Profile Page
  • Google Scholar

    Research Focus Areas:
    • Flexible Electronics
    • Human Augmentation
    • Medical Device Design, Development and Delivery
    • Micro and Nano Device Engineering
    • Miniaturization & Integration
    • Robotics
    Additional Research:
    Medical devices for clinically-relevant applicationsNon-invasive physiological monitoringHome monitoring of chronic diseaseCardiomechanical signalsMedical instrumentation

    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