Hangxing Zhang (she/her)

I am a senior undergraduate student in Computer Science at ShanghaiTech University. I am currently a research intern at MIT CSAIL, advised by Prof. Wojciech Matusik, and at Harvard SEAS, advised by Prof. Heng Yang. I also work closely with Prof. Yilun Du. During the 2025–26 academic year, I was a visiting undergraduate student at Harvard University and a cross-registered student at MIT.

My goal is to build robots that perceive and act in the physical world as skillfully as humans do, by tightly coupling touch, vision, and learning. My current interests include:

Dexterous manipulation — contact-rich, multi-fingered manipulation with real robot hands.
Tactile sensing — using high-resolution touch to perceive contact and guide action.
3D vision for robotics — geometry-grounded perception, from calibration to scene understanding.
Robot learning — scalable policies learned from human and robot demonstrations.

I am applying for PhD programs starting Fall 2027.

News

Sep 2026 Received the China National Scholarship!
Jul 2026 NeuralActuator wins the Outstanding Systems Paper Award in Memory of Seth Teller of RSS 2026! 🎉
Jun 2026 SHEC3R is accepted to RSS 2026 Workshop Closing the Sim2Real Gap: Progress and Challenges!
Apr 2026 NeuralActuator is accepted to RSS 2026!

Publications

^* denotes equal contribution.

SHEC3R: A Robot-Grounded Neural Initializer for Stationary Eye-to-Hand Calibration H. Zhang, Z. Dou, Y. Ma, P. Ye, P. Li, Y. Guo, M. Yan, J. Li, Y. Tao, Y. Liu, C. Gan, Y. Jiang, J. Li, Y. Ivanov, W. Matusik Under review at IEEE International Conference on Robotics & Automation (ICRA), 2027 Closing the Sim2Real Gap: Progress and Challenges Workshop, RSS 2026 Project Page / Workshop PDF / Workshop Page

NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception Z. Dou, J. U. Onyemelukwe^*, H. Zhang^*, H. Zhang, M. Guo, Y. Tian, M. P. Lipiec, J. Jacob, C. Liu, P. Y. Chen, Y. Ivanov, W. Matusik Robotics: Science and Systems (RSS), 2026 Outstanding Systems Paper Award in Memory of Seth Teller Project Page / arXiv / Code

Diffusion Models are Open-World Affordance Learners: Leveraging Generative Priors for 3D Affordance Learning H. Wang^*, Z. Zhang^*, K. Ji^*, M. Liu, W. Yin, Y. Chen, Z. Liu, X. Zeng, T. Gui, H. Zhang, J. Yuan, Z. Cui, J. Liu, Z. Ma, H. Xiong European Conference on Computer Vision (ECCV), 2026 Project Page / arXiv / Code

R3D: Revisiting 3D Policy Learning Z. Hong^*, S. Wu^*, H. Cui^*, B. Zhao, R. Ji, Y. He, H. Zhang, Z. Ke, J. Wang, G. Zhang, J. Gu Under review at IEEE Robotics and Automation Letters (RA-L) Project Page / arXiv / Code