Matthew Gombolay

Assistant Professor
Research Areas: 
Human-Robot Interaction (HRI); Reinforcement Learning; Explainable Artificial Intelligence (XAI); Multi-agent Reinforcement Learning (MARL); Planning & Scheduling; Natural Language Processing (NLP)

Dr. Matthew Gombolay is an Assistant Professor of Interactive Computing at the Georgia Institute of Technology. Dr. Gombolay is the director of the Cognitive Optimization and Relational (CORE) Robotics Lab, which seeks to place the power of robots in the hands of everyone by developing new computational methods and human factors insights that enable robots to learn from interaction with diverse, non-expert end-users.

In just four years, Dr. Gombolay’s lab has produced over 40 peer-reviewed papers, including best paper awards at the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI), a best paper finalist at the 2020 Conference on Robot Learning (CoRL), and a best student paper finalist at the 2020 American Controls Conference (ACC). Dr. Gombolay is a NASA Early Career Fellow and a DARPA Riser and has raised millions in research funding, including support from government agencies (i.e., NSF, NIH, NASA, ONR, and NRL) and industry partners (i.e., Lockheed Martin, Ford, Konica Minolta, and Google) alike. Dr. Gombolay has served on Organizing Committees of HRI’21, HRI’22, and multiple workshops, and he is an Associate Editor of Autonomous Robots and the ACM Transactions on HRI.


Institute for Robotics and Intelligent Machines (IRIM)