Xuweiyi Chen

About Me

I am a second-year Master student of Computer Science and Engineering at the University of Michigan. I am a member of SLED lab. I do research on Embodied AI, 3D Computer Vision, and Robotics. I am interested in building and applying foundation models as well as generative models. My research goal is to facilitate language agents that can perceive in 3D, interact with humans, and ultimately follow complicated instructions in the physical environment. Toward this goal, my current research focused on language grounding and robot motion planning in the 3D world.

Before joining UMich, I obtained my bachelor’s degree in Applied and Computational Mathematics Science at the University of Washington where I worked with Prof. Yunhe feng on Responsible AI.

I’m currently on the lookout for a Ph.D. position starting Fall 2024. If you’re aware of any opportunities, I’d be grateful for an introduction.

Research Interests

• 3D Computer Vision: NeRF, DeepSDF, 3D Gaussian Splatting, …
• Language: Steerable Large Language Model, Language Grounding
• Robotics: Manipulation, Simulator, Generative Imitation Learning
• Diffusion Model: 3D Diffusion Model for Decision Making

News

• [Mar. 2024] Our paper about improving spatiotemporary consistency in video diffusion model: UniCtrl is out.
• [Jan. 2024] Our paper about Zero-Shot 3D Language Grounding has been accepted by ICRA 2024.
• [Sept. 2023] Our paper about Zero-Shot 3D Language Grounding is submitted to ICRA 2024.
• [Aug. 2022] Joined the SLED lab at the University of Michigan

Publications

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