Mingrui YU

Mingrui YU

Mingrui YU / 于铭瑞 / Harry YU

I am Mingrui YU. I’m now pursuing the Ph.D. degree in the 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. My research interests include autonomous manipulation of deformable linear object, such as cables and ropes.

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)
GPA: 4.09/4.3, Ranking: 1/35

Research Experience

Robotics X, Tencent (Shenzhen, China)   06/2024 - 09/2024
Advisor: Dr. Yu Zheng

Mechanical Systems Control Lab, University of California, Berkeley   10/2023 - 03/2024
Advisor: Prof. Masayoshi Tomizuka

Selected Publications

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 (IJRR), 2025

[Paper] [Website]

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

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 (T-RO), 2023

[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]

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]

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