Jinzhou Li

I am a PhD student in Robotics at Duke University, advised by Prof. Xianyi Cheng. Before Duke, I worked with Prof. Hao Dong at Peking University. I did my master's at Cornell University, where I was advised by Prof. Maha Haji, and completed my bachelor's degree at the University of Vermont. I also had the chance to work with Prof. Daniel Hastings at MIT. My research interests focus on general robotic manipulation and multimodal learning, aiming to enable robots to act and think more like humans.


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jinzhou
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
preprint
Webpage  •   Paper

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
under review
Webpage  •   Paper

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
preprint
Webpage  •   Paper

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
Conference on Robot Learning (CoRL) 2025
Oral Presentation
Webpage  •   Paper

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
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
Webpage  •   Paper

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
IEEE International Conference on Robotics and Automation (ICRA) 2025
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
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
Webpage   •   Paper

2025

We released OpenTouch, a benchmark for full-hand touch in the wild

We released TwinAligner, a physics-aware real2sim2real framework for robotic manipulation

One paper accepted to CoRL 2025, selected for Oral Presentation (~5% of total accepted papers)

Invited talk at 3D Vision Workshop

Two papers accepted to IROS 2025 as oral presentations

Invited talk at Peking University

One paper accepted to ICRA 2025

Reviewer: ICRA 2024, 2025, 2026