Chaoqi Liu

I'm a 3rd year undergraduate student at UIUC. I like robotics. I've had the opportunity to be advised by Kris Hauser, Yilun Du, Yunzhu Li, Maxim Likhachev; and work with awesome mentors Lirui Wang, Ramkumar Natarajan.

Research

	Lirui Wang, Kevin Zhao, Chaoqi Liu, Xinlei Chen Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression 2025, [webpage], [arXiv] Heterogeneous Masked Autoregression (HMA) is a real-time robotic video simulation for high-fidelity and controllable interactions, leveraging masked autoregressive models and heterogeneous training.
	Chaoqi Liu, Yunzhu Li, Kris Hauser Localized Graph-Based Neural Dynamics Models for Terrain Manipulation 2024, [webpage], [arXiv] A scalable and efficient graph-based neural terrain dynamics (gbnd) by introducing fine-grained adaptive and automatic particle selection. The proposed framework is both orders of magnitude efficient and more accurate than previous gbnd.
	Ramkumar Natarajan, Chaoqi Liu, Howie Choset, Maxim Likhachev Implicit Graph Search for Planning on Graphs of Convex Sets RSS 2024, [webpage], [paper], [arXiv] A scalable and efficient way to plan on Graphs of Convex Sets (GCS) with stronger theoretical properties. We plan on GCS using a previously developed hybrid search-optimization framework called INSAT.

Honor and Awards

UIUC Dean's List, 2022fa, 2023sp, 2023fa, 2024sp, 2024fa

Misc.

I have consistently maintained a perfect 4.0 GPA, excelling with top grades of A/A+ in all of my Computer Science, Mathematics, and Statistics courses. A complete list can be found here.

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