All News
- February 19, 2025 I gave a talk at Cornell University’s Robotics Seminar. Here’s a recording of my talk, outlining our lab’s recent advances in planning under uncertainty:
- January 28, 2025 My lab had two papers accepted to IEEE ICRA 2025: one on anticipatory planning for large-scale home environments and another on hybrid social navigation. Links to follow and we look forward to sharing these in Atlanta.
- January 9, 2025 I gave a talk at University of Milan on my recent work at the intersection of learning and anticipation for reliable task planning. Thanks again for hosting me!
- December 2024 I, as principal investigator, and GMU collaborators Daigo Shishika, Xuesu Xiao, and Xuan Wang have been awarded a $1.7 grant from the US Army Research Lab’s Tactical Behaviors and Maneuvers program. Read more about through the GMU news announcement.
- November 6, 2024 The RAIL Group had a busy Conference on Robot Learning (CoRL) 2024! First, my student Abhishek presentend a paper on multi-strategy domain adaptation for fast deployment-time improvement for navigation under uncertainty. Second, the lab presented a workshop paper at the Learning Effective Abstractions for Planning (LEAP) Workshop, at which I also gave an invited talk.
- October 16, 2024 We presented three papers at IROS 2024, spanning topics on active information gathering, learning-informed navigation, and team coordination on graphs. I also co-chaired the Robot Motion Planning 1 session.
- Fall 2024 I gave invited talks at Stevens Institute of Technology, Northeastern, The AI Institute (formerly BDAI), and Lehigh University. Thanks to all for hosting me and it was a pleasure getting to share all our exciting work!
- Fall 2024 Service: I served as a reviewer for CoRL, ICSR, T-ASE, and RA-L. I also served as a Program Committee member for the and IEEE Big Data workshop on Multimodal Data; I also served as Associate Editor for ICRA 2025.
- June 30, 2024 We had three papers accepted to the upcoming IROS 2024. Congrats to all my student authors!
- Summer 2024 The RAIL Group is delighted to be hosting four high school summer student interns through the George Mason University ASSIP program. Welcome to the lab!
- April 15, 2024 Our paper Multi-Robot Guided Sampling-Based Motion Planning with Dynamics in Partially Mapped Environments is now published through IEEE Access, a collaboration with Prof. Erion Plaku spearheaded by PhD student Hoang-Dung Bui. This work represents our latest step towards more capable multi-robot teams that must operate under uncertainty.
- December 4 2023 I gave a talk on our recent work at Arizona State University. Thanks for having me!
- November 10 2023 I served as a PC Member for the IEEE Big Data Workshop on Multimodal Big Data.
- October 1–5 2023 The lab will be presenting three papers at IROS 2023. See our blog posts for (1) reliable, graph neural net driven long horizon navigation under uncertainty and (2) data efficient model selection for learning-informed long horizon navigation in partially mapped environments.
- September 08 2023 I will be attending a workshop at Penn to contribute to the next National Robotics Roadmap. Update: the 2024 Roadmap for US Robotics is now live!
- August 27 2023 The lab presented a paper at IEEE CASE, a collaboration with Prof. Erion Plaku, on effective dynamically feasible navigation in partially mapped environments.
- May 2023 The lab presented two papers at ICRA 2023.
- December 2022 I co-organized a workshop Learning, Perception, and Abstraction for Long-Horizon Planning at CoRL 2022. Video for the entire workshop here!
- November 2021 Our paper Generating High-Quality Explanations for Navigation in Partially-Revealed Environments was accepted for a poster presentation at NeurIPS 2021. Video here!
- September 2020 I gave a 5 minute lightning talk at the George Mason CS Research Day. Video here!
- 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: