AE Seminar: Matthew Gombolay

Thu Sep 16 2021 03:30 PM
The Human in Human-Autonomy Interaction

The Daniel Guggenheim School of Aerospace Engineer
invited you to attend the talk


"The Human in Human-Autonomy Interaction"




Matthew Gombolay

Professor | Interactive Computing
Georgia Institute of Technology 


Thursday, September 16
3:30 - 4:30 p.m. (EST)


About the Talk
New advances in robotics and autonomy offer a promise of revitalizing final assembly manufacturing, assisting in personalized at-home healthcare, and even scaling the power of earth-bound scientists for robotic space exploration. Yet, in real-world applications, autonomy is often run in the O-F-F mode because researchers fail to understand the human in human-in-the-loop systems. In this talk, I will share exciting research we are conducting at the nexus of human factors engineering and cognitive robotics to inform the design of human-autonomy interaction. In my talk, I will focus on our recent work on 1) Characterizing human task performance vis-à-vis stress and workload in robot teleoperation; 2) Democratizing robot learning from human interaction by formulating better models of human teachers; 3) Informing the design of robotic teammates by gaining insight into the behavioral psychology of mixed, human-robot teams. The goal of this research is to inform the design of autonomous teammates so that users want to turn – and benefit from turning – to the O-N mode.

About the Speaker
Dr. Matthew Gombolay is an Assistant Professor of Interactive Computing at the Georgia Institute of Technology. He received a B.S. in Mechanical Engineering from the Johns Hopkins University in 2011, an S.M. in Aeronautics and Astronautics from MIT in 2013, and a Ph.D. in Autonomous Systems from MIT in 2017. Gombolay’s research interests span robotics, AI/ML, human-robot interaction, and operations research. Between defending his dissertation and joining the faculty at Georgia Tech, Dr. Gombolay served as technical staff at MIT Lincoln Laboratory, transitioning his research to the U.S. Navy and earning a R&D 100 Award. His publication record includes a best paper award from the American Institute for Aeronautics and Astronautics, a finalist for best student paper at the American Controls Conference, and a finalist for best paper at the Conference on Robot Learning (CoRL’20). Dr Gombolay was selected as a DARPA Riser in 2018, received 1st place for the Early Career Award from the National Fire Control Symposium, and was awarded a NASA Early Career Fellowship.