Prof. Gregory J. SteinRAIL Group, GMU
I am an Assistant Professor of Computer Science at George Mason University where I run the Robotic Anticipatory Intelligence & Learning (RAIL) Group. Our research, at the intersection of robotics and machine learning, is centered around developing representations that allow robots to better understand the impact of their actions, so that they may plan quickly and intelligently in a dynamic and uncertain world. Read more on our research page.
I am seeking motivated graduate students with interests at the intersection of Robotics and Machine Learning to join my group. Learn more about our PhD program through the CS Department website or reach out to me on Twitter or by email.
- September 2020 I gave a 5 minute lightning talk at the George Mason CS Research Day. Video here!
- Fall 2020 I will be teaching CS 682, a graduate introduction to Computer Vision.
- Fall 2020 I will be joining the Department of Computer Science at George Mason University as an Assistant Professor.
- October 2018 My paper Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments was a Best Paper Finalist at the 2018 Conference on Robot Learning. My accompanying 15 minute talk was awarded Best Oral Presentation:
- Christopher Bradley, Adam Pacheck, Gregory J. Stein, Sebastian Castro, Hadas Kress-Gazit, and Nicholas Roy. "Learning and Planning for Temporally Extended Tasks in Unknown Environments." In: International Conference on Robotics and Automation (ICRA). 2021. paper.
- Gregory J. Stein, Christopher Bradley, Victoria Preston, and Nicholas Roy. "Enabling Topological Planning with Monocular Vision". In: International Conference on Robotics and Automation (ICRA). 2020. paper, talk (10 min).
- Best Paper Finalist at CoRL 2018; Best Oral Presentation at CoRL 2018. Gregory J. Stein, Christopher Bradley, and Nicholas Roy. "Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments". In: Conference on Robot Learning (CoRL). 2018. paper, talk (14 min).
Best Paper Finalist at CoRL 2018; Best Oral Presentation at CoRL 2018.
- Gregory J. Stein and Nicholas Roy. “GeneSIS-RT: Generating Synthetic Images for training Secondary Real-World Tasks”. In: International Conference on Robotics and Automation (ICRA). 2018. paper.
- Mycal Tucker, Derya Aksaray, Rohan Paul, Gregory J. Stein, and Nicholas Roy. "Learning Unknown Groundings for Natural Language Interaction with Mobile Robots". In: International Symposium on Robotics Research (ISRR). 2017.