Yushi Du / Personal Homepage

About me

I am currently a first-year PhD student in the Department of Electrical and Electronic Engineering at The University of Hong Kong, advised by Prof. Yanchao Yang. Before that, I received my bachelor’s degree from the School of EECS at Peking University.

My research focuses on helping robots integrate naturally into complex human environments through humanoid-object interaction, compliance control, human-humanoid collaboration, and tactile perception. During my undergraduate studies, I was fortunate to be advised by Prof. Hao Dong, who leads the PKU-Agibot Lab. I am also fortunate to collaborate with Dr. Siyuan Huang at BIGAI.

Publications

Google Scholar
In Submission

OmniClone: Engineering a Robust, All-Rounder Whole-Body Humanoid Teleoperation System

Yixuan Li*, Le Ma*, Yutang Lin*, Yushi Du, Mengya Liu, Kaizhe Hu, Jieming Cui, Yixin Zhu, Wei Liang, Baoxiong Jia, Siyuan Huang

arXiv preprint, 2026

OmniClone whole-body humanoid teleoperation overview.
ICRA

COLA: Learning Human-Humanoid Coordination for Collaborative Object Carrying

Yushi Du*, Yixuan Li*, Baoxiong Jia*, Yutang Lin, Pei Zhou, Wei Liang, Yanchao Yang, Siyuan Huang

IEEE International Conference on Robotics and Automation (ICRA), 2026

A humanoid following human pushing and pulling commands while carrying a heavy payload.
ICLR

VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing

Yixiao Wang, Mingxiao Huo, Zhixuan Liang, Yushi Du, Lingfeng Sun, Haotian Lin, Jinghuan Shang, Chensheng Peng, Mohit Bansal, Mingyu Ding†, Masayoshi Tomizuka

International Conference on Learning Representations (ICLR), 2026

Overview of the VER vision expert architecture and robot-learning pipeline.
BMVC

Learning Part Motion of Articulated Objects Using Spatially Continuous Neural Implicit Representations

Yushi Du*, Ruihai Wu*, Yan Shen, Hao Dong

British Machine Vision Conference (BMVC), 2023

Overview of spatially continuous part-motion generation for articulated objects.
ICCV

Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly

Ruihai Wu*, Chenrui Tie*, Yushi Du, Yan Shen, Hao Dong

IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Overview of SE(3)-equivariant geometric shape assembly.