Yuchen Liu

Yuchen Liu skiing

Yuchen Liu

SPATIAL REPRESENTATIONS · ROBOT LEARNING

Fourth-year PhD student at Purdue University

Seeking Summer 2027 research internships

About Me

I am a fourth-year PhD student at Purdue University, advised by Prof. Ahmed H. Qureshi at the CoRAL Lab. My research focuses on spatial representations for robot learning and motion planning. I develop neural fields and physics-informed learning methods that help robots represent geometry and connectivity for efficient planning in unknown and large-scale environments.

I am currently a Research Intern at Dexmate AI (Summer–Fall 2026), working on motion planning and AI agents.

In Summer 2025, I worked as a visiting scholar at the TEA Lab at Tsinghua University, where I had the opportunity to work with Prof. Huazhe Xu on household mobile manipulation. Our work uses object-centric alignment to connect semantic navigation with manipulation and transfer manipulation skills across environments; the resulting paper has been submitted to IEEE RA-L.

Before joining Purdue, I earned my B.S. and M.S. in Computer Science at New York University (2019–2023), where I worked with Prof. Chen Feng at the AI4CE Lab on robotics simulation.

I am seeking Summer 2027 research internships in spatial representation, robot learning, and motion planning. Get in touch.

Outside research, I enjoy detective novels, strategy games, and spending time with my cats.

Latest News

Publications

* denotes joint first authors

H-NTFields quadruped carrying task demonstration

Weakly-supervised Learning for Physics-informed Neural Motion Planning via Sparse Roadmap

Ruiqi Ni, Yuchen Liu, and Ahmed H. Qureshi

ICRA 2026

Learning a continuous planning representation from sparse roadmap supervision and physics-informed constraints.

Publication 5

Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments

Yuchen Liu, Alexiy Buynitsky, Ruiqi Ni, and Ahmed H. Qureshi

IROS 2025

Publication 4

Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments

Wei Han Chen*, Yuchen Liu*, Alexiy Buynitsky, and Ahmed H. Qureshi

IROS 2025

Publication 3

Physics-informed Neural Mapping and Motion Planning in Unknown Environments

Yuchen Liu*, Ruiqi Ni*, Ahmed H. Qureshi

T-RO 2025

Honorable Mention, King-Sun Fu Best Paper Award (2026)

Publication 2

A deep reinforcement learning environment for particle robot navigation and object manipulation

Jeremy Shen*, Erdong Xiao*, Yuchen Liu, Chen Feng

ICRA 2022

Outstanding Coordination Paper Award — Finalist

Publication 1

Mobile 3d printing robot simulation with viscoelastic fluids

Uljad Berdica*, Yuewei Fu*, Yuchen Liu*, Emmanouil Angelidis*, Chen Feng

IROS 2021

My Research Assistants

Qiuqiu

Qiuqiu

Naitang

Naitang

Congo

Congo

Ponyo

Ponyo