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Yutong Liang

Yutong Liang

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Hi there! 👋 I'm Yutong Liang, a first-year graduate student in Computer Science and Engineering at the University of California San Diego, advised by Prof. Xiaolong Wang.

My research focuses on dexterous robotic manipulation. I study human-object interaction and learning-based control with the long-term goal of building embodied agents that operate just like human. I believe human demonstration prior is a practical way to faster, safer, and reliable robotic learning.

I completed my undergraduate studies at the School of Electronics Engineering and Computer Science, Peking University (2021-2025), where I majored in Computer Science and Technology.

During my undergraduate years, I was a research student at the Visual Computing and Learning Lab at Peking University (2023-2025), advised by Prof. Libin Liu, where I worked on character animation and physics simulation. Before that, I researched in the field of Data Structures and Network Measurement (2022-2023), advised by Prof. Tong Yang.

I served as a Teaching Assistant for the Introduction to AI course at Peking University in Spring 2025.

During summer 2024, I was a research intern at Stanford University, where I worked with Michelle Guo and Pei Xu in the TML Lab and SVL Lab, under the guidance of Prof. Karen Liu and Prof. Jiajun Wu.

Selected Projects

Please visit this page for more projects!

DexterCap: An Affordable and Automated System for Capturing Dexterous Hand-Object Manipulation
DexterCap: An Affordable and Automated System for Capturing Dexterous Hand-Object Manipulation


Yutong Liang*, Shiyi Xu*, Yulong Zhang*, Bowen Zhan, He Zhang, Libin Liu

In Submission • 2026

GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation


Guangqi Jiang, Haoran Chang, Ri-Zhao Qiu, Yutong Liang, Mazeyu Ji, Jiyue Zhu, Zhao Dong, Xueyan Zou, Xiaolong Wang

ICRA • 2026

ROBOVERSE: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
ROBOVERSE: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning


RoboVerse Team

RSS • 2025

Motion Matching on AMASS
Motion Matching on AMASS

A motion matching project on AMASS dataset.

My Course Review
My Course Review

Course reviews and resources for PKU students.

PKU Treehole Starred Saver
PKU Treehole Starred Saver

Save your starred posts in Peking University Treehole.

Education

Awards

Skills and Tools

Personal Interests

  • I am an avid speedcuber and currently hold the Peking University record for Pyraminx single (valid through June 2025).

    Personal bests: 3x3 in 9.47s (Los Angeles 2024) and Pyraminx in 2.36s (Sacramento 2024). More on my WCA profile.

    New to speedcubing? Feel free to google it! I also write occasional posts on the speedcubing topic.

  • I enjoy recreational tennis and play regularly for fitness and fun.

Favorite TV Series & Books

I particularly enjoy Doctor Who for its blend of imagination and human stories. I have followed the series for about a decade (since the Peter Capaldi era), and it still inspires me. Related posts:

I also frequently revisit the Harry Potter series, I loved it best before I discovered Doctor Who.

Anime I Enjoyed

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