Oredered action representation
OAT studies action vocabularies that preserve causality, controllability, and flexible compute for robot policies.
Robotics / Physical AI
I love robots. I want to do strong science, and help people feel able to do it, too.
I am a 4th year undergraduate student at UIUC. I have worked with Yilun Du, Kris Hauser, Yunzhu Li, and Maxim Likhachev.
I write notes on robotics and AI. Feel free to reach out about research ideas, collaborations, or robotics in general.
Research interests
I am interested in fundamental questions that can eventually bring us to generalist robots: the right action abstraction, the right scene representation, and the right architecture for connecting learning, planning, and reasoning in the physical world.
OAT studies action vocabularies that preserve causality, controllability, and flexible compute for robot policies.
FDP and MMPC study how action distributions can be factored, combined, and adapted instead of learned as one opaque behavior.
IxG, L-GBND, and HMA explore when learned models and classical structure make robot behavior more reliable.
Updates
Research output
* indicates equal contribution. Representative papers are highlighted.
Robotics Science and Systems (RSS), 2026
Media coverage: RoboPapers, MarkTechPost
IEEE Robotics and Automation Letters (RA-L), 2026
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026
Spotlight at RSS 2025 2nd Workshop on Semantic Reasoning and Goal Understanding in Robotics [Link]
IEEE International Conference on Robotics and Automation (ICRA), 2026
Media coverage: Video Friday
IEEE Robotics and Automation Letters (RA-L), 2026
IEEE International Conference on Robotics and Automation (ICRA), 2026
Robotics Science and Systems (RSS), 2024
Writing
How should we design action tokens for autoregressive robot policies? OAT is an ordered, prefix-decodable action representation built to be compact, totally decodable, and easy to model.
Recognition
Highest undergraduate honor at UIUC.
Awarded to 2 recipients annually.
I maintained a 4.0 GPA at UIUC; if interested, a complete coursework list is available here.