Jinzhou Li

I am a first-year Ph.D. student in Robotics at Duke University, advised by Prof. Xianyi Cheng. I did my master's at Cornell University, where I was advised by Prof. Maha Haji and Prof. Daniel Hastings, and received my bachelor's degree from the University of Vermont. My research interests include dexterous manipulation, tactile sensing, and reinforcement learning, aiming to enable robots to think and act more like humans.

jinzhou

News

05.2026

I will join Amazon Robotics as an Applied Scientist Intern this summer.

02.2026

Co-organizing the Workshop on Manipulation Robustness: Towards Human-Level Robustness in Real-World Manipulation at ICRA 2026.

12.2025

Released OpenTouch, a benchmark for full-hand tactile sensing in the wild.

12.2025

Released TwinAligner, a physics-aware real2sim2real framework for robotic manipulation.

09.2025

ClutterDexGrasp accepted to CoRL 2025 as oral.

Publications

* equal contribution

Tool changer

Any-ttach: Quick End-effector Swapping Enables Manipulation Dexterity with Simplicity

Weizhe Ni*, Jinzhou Li*, Haoyu Li, Wenjing Pan, Cody Andres Alessio-Bunnell, Xianyi Cheng
Under Review, 2026
Webpage  •   Paper

opentouch

OpenTouch: Bringing Full-Hand Touch to Real-World Interaction

Yuxin Ray Song*, Jinzhou Li*, Rao Fu*, Devin Murphy, Kaichen Zhou, Rishi Shiv, Yaqi Li, Haoyu Xiong, Crystal Elaine Owens, Yilun Du, Yiyue Luo, Xianyi Cheng, Antonio Torralba, Wojciech Matusik, Paul Pu Liang
arXiv 2025
Webpage  •   Paper   •   Code

adaptac-dex

AdapTac-Dex: Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation

Jinzhou Li*, Tianhao Wu*, Jiyao Zhang**, Zeyuan Chen**, Haotian Jin, Mingdong Wu, Yujun Shen, Yaodong Yang, Hao Dong
IROS 2025
Webpage  •   Paper   •   Code

twinaligner

TwinAligner: Visual-Dynamic Alignment Empowers Physics-aware Real2Sim2Real for Robotic Manipulation

Hongwei Fan*, Hang Dai*, Jiyao Zhang*, Jinzhou Li, Qiyang Yan, Yujie Zhao, Mingju Gao, Jinghang Wu, Hao Tang, Hao Dong
arXiv 2025
Webpage  •   Paper   •   Code

Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning

Tianhao Wu, Jinzhou Li*, Jiyao Zhang*, Mingdong Wu, Hao Dong
ICRA 2025
Webpage  •   Paper   •   Code

Hierarchical-Multi-Frequency

Hierarchical Policy: Multi-Frequency Action Chunking across Hierarchical Temporal Resolutions for Robotic Imitation Learning

Jiyao Zhang, Zimu Han, Junhan Wang, Xionghao Wu, Shihong Lin, Jinzhou Li, Hongwei Fan, Ruihai Wu, Dongjiang Li, Hao Dong
arXiv 2026
Webpage  •   Paper

clutterdexgrasping

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Target Grasping in Cluttered Scenes

Zeyuan Chen*, Qiyang Yan*, Yuanpei Chen*, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong
CoRL 2025 (Oral ~5%)
Webpage  •   Paper

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training

Mingdong Wu*, Lehong Wu*, Yizhuo Wu*, Weiyao Huang, Hongwei Fan, Zheyuan Hu, Haoran Geng, Jinzhou Li, Jiahe Ying, Long Yang, Yuanpei Chen, Hao Dong
IROS 2025
Webpage   •   Paper

Experience

Amazon Robotics

Applied Scientist Intern II

with Dr. Hadi Tabatabaee, Prof. Roberto Martín-Martín, and Dr. Yuyin Sun

2026 Summer

PKU-AgiBot Lab

Research Intern

with Prof. Hao Dong

2024 – 2025

Service

Reviewer: ICRA 2024, 2025, 2026