Mingrui YU / 于铭瑞 / Harry YU

I am Mingrui YU, a robotics researcher. I’m now pursuing the Ph.D. degree in the Intelligent Manipulation Lab, Department of Automation, Tsinghua University, supervised by Prof. Xiang Li. From 10/2023 to 03/2024, I was a visiting student at the MSC Lab in UC Berkeley, supervised by Prof. Masayoshi Tomizuka.

Research Interest: I’m interested in machine learning, planning, and control with their applications to robotic dexterous manipulation of various objects, including in-hand manipulation and deformable object manipulation.

I am leading an NSFC Youth Student Research Project (for PhD students) / 首批国家自然科学基金青年学生基础研究项目(博士生项目)entitled “Visual-tactile dexterous manipulation of deformable linear objects with a dual-arm robot”.

Future Opportunities: I am open to potential academic and industry job opportunities following my graduation in June 2026. Please feel free to contact me.

Email: mingruiyu98@gmail.com (recommended); ymr20@mails.tsinghua.edu.cn (国内使用).


Education

Department of Automation, Tsinghua University (Beijing, China)08/2020 - 06/2026 (expected)
Ph.D. Student in Control Science and Engineering
GPA: 3.95/4.0, Ranking: 3/84

Department of Automation, Xi’an Jiaotong University (Xi’an, China)08/2016 - 07/2020
B.Eng. in Automation (Honors Engineering Program, 钱学森班)
GPA: 4.09/4.3, Ranking: 1/35


Research Experience

Robotics X, Tencent (Shenzhen, China)06/2024 - 09/2024
Advisor: Dr. Yu Zheng
Topic: Dexterous grasping and manipulation

Mechanical Systems Control Lab, University of California, Berkeley10/2023 - 03/2024
Advisor: Prof. Masayoshi Tomizuka
Topic: Dexterous manipulation of (deformable) objects

Institute of Automation, Chinese Academy of Sciences (Beijing, China)07/2018 - 06/2019
Advisor: Prof. Yisheng Lv
Topic: Reinforment learning for intelligent transportation system


Selected Publications

Please refer to the Publications page or my Google Scholar profile for all publications.

GIF Description

Robotic In-Hand Manipulation for Large-Range and Precise Object Movement: The RGMC Champion Solution

M. Yu, Y. Jiang, C. Chen, Y. Jia, and X. Li

Submitted to IEEE Robotics and Automation Letters, 2024

[Paper] [Website]

GIF Description

Generalizable whole-body global manipulation of deformable linear objects by dual-arm robot in 3-D constrained environments

M. Yu, K. Lv, C. Wang, Y. Jiang, M. Tomizuka, and X. Li

The International Journal of Robotics Research, 2024

[Paper] [Website]

GIF Description

Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach

M. Yu, K. Lv, H. Zhong, S. Song, and X. Li

IEEE Transactions on Robotics, 2023

[Paper] [Website]

GIF Description

面向线状柔性物体的机器人操作研究进展与展望

于铭瑞, 李翔

机器人, 2024

[Paper]

GIF Description

In-Hand Following of Deformable Linear Objects Using Dexterous Fingers With Tactile Sensing

M. Yu, B. Liang, X. Zhang, X. Zhu, L. Sun, C. Wang, X. Li, M. Tomizuka

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 (Oral)

[Paper] [Website]

GIF Description

Contact-Implicit Model Predictive Control for Dexterous In-hand Manipulation: A Long-Horizon and Robust Approach

Y. Jiang, M. Yu , X. Zhu, M. Tomizuka, X. Li

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

[Paper] [Website]

GIF Description

A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance

M. Yu, K. Lv, C. Wang, M. Tomizuka, and X. Li

IEEE International Conference on Robotics and Automation (ICRA), 2023

Best Paper Award at the ICRA 2023 Workshop on Representing and Manipulating Deformable Objects

[Paper] [Website]

GIF Description

Learning to Estimate 3-D states of Deformable Linear Objects from Single-Frame Occluded Point Clouds

K. Lv, M. Yu, Y. Pu, X. Jiang, G. Huang, and X. Li

IEEE International Conference on Robotics and Automation (ICRA), 2023

[Paper] [Video]

GIF Description

Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models

M. Yu, H. Zhong, and X. Li

IEEE International Conference on Robotics and Automation (ICRA), 2022

[Paper] [Website]


Competitions


Awards & Honors


Projects

Project Page


Academic Service