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Mingrui YU (于铭瑞)

Ph.D. Candidate in Robotics

Department of Automation, Tsinghua University

About

I am a final-year Ph.D. student in the Intelligent Manipulation Lab within the Department of Automation at Tsinghua University, supervised by Prof. Xiang Li. From 10/2023 to 03/2024, I was a visiting researcher at the MSC Lab in UC Berkeley, working with Prof. Masayoshi Tomizuka.

Research Interest: My research focuses on advancing reliable and accurate robotic dexterous manipulation by addressing challenges arising from the diversity of manipulated objects, the high dimensionality of robot motions, and the complexity of physical contacts. I prefer to approach problems from a robotics standpoint, prioritizing interpretable methods and guaranteed performance in physical systems. I believe the most promising path to human-level dexterity lies in the elegant integration of rigorous analytical motion computation, self-learning through exploration, and learning from large-scale human demonstrations.

Aspiration: Whether in academia or industry, I am driven by a long-standing passion for robotics. I look forward to a lifelong journey of learning, deploying, and exploring the frontiers of this field and its intersection with physical intelligence.

Recent News

02/2026 One paper accepted by ICRA 2026, titled "CoorGrasp: Coordinated Contact Control for Adaptive Dexterous Grasping Under Uncertainty".
01/2026 Two papers accepted by RA-P, titled "Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation" and "Robust In-Hand Reorientation with Hierarchical RL-Based Motion Primitives and Model-Based Regrasping".
10/2025 Celebrating ten years of growing together! Yixi Li and I held our Wedding Ceremony in Qingdao, the hometown where our story first began. 🎉🎉🎉
10/2025 We successfully organized the IROS 2025 Workshop on Robotic Manipulation of Deformable Objects (ROMADO).
09/2025 We successfully organized the CoRL 2025 Workshop on Beyond Rigid Worlds: Representing and Interacting with Non-Rigid Objects.
03/2025 One paper accepted by RA-L, titled "Robotic In-Hand Manipulation for Large-Range and Precise Object Movement: The RGMC Champion Solution".
07/2024 One paper accepted by IJRR, titled "Generalizable Whole-Body Global Manipulation of Deformable Linear Objects by Dual-Arm Robot in 3-D Constrained Environments".
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Publications

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CoorGrasp: Coordinated Contact Control for Adaptive Dexterous Grasping Under Uncertainty

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

IEEE International Conference on Robotics and Automation (ICRA), 2026

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Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking

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

Submitted to The International Journal of Robotics Research (IJRR), 2025

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UniStateDLO: Unified Generative State Estimation and Tracking of Deformable Linear Objects Under Occlusion for Constrained Manipulation

K. Lv*, M. Yu*, S. Wang, X. Ji, and X. Li

Submitted to IEEE Transactions on Robotics (T-RO), 2025

Causal World Modeling for Robot Control

L. Li, Q. Zhang, Y. Luo, S. Yang, R. Wang, F. Han, M. Yu, Z. Gao, N. Xue, X. Zhu, Y. Shen, and Y. Xu

arXiv preprint arXiv:2601.21998, 2026

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Kinematics-Aware Diffusion Policy with Consistent 3D Observation and Action Space for Whole-Arm Robotic Manipulation

K. Lv*, M. Yu*, Y. Jia, C. Zhang, and X. Li

Submitted to IEEE Robotics and Automation Letters (RA-L), 2025

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Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation

C. Xin*, M. Yu*, Y. Jiang, Z. Zhang, and X. Li

IEEE Robotics and Automation Practice (RA-P), 2025

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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

IEEE Robotics and Automation Letters (RA-L), 2025

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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), 2024

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Robust In-Hand Reorientation with Hierarchical RL-Based Motion Primitives and Model-Based Regrasping

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

IEEE Robotics and Automation Practice (RA-P), 2025

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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)

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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

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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

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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

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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

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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

Education

Tsinghua University (Beijing, China) 08/2020 - 06/2026 (expected)

Ph.D. in Control Science and Engineering, Department of Automation

Advisor: Prof. Xiang Li

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

Center of Embodied AI and Robotics, BIGAI

04/2025 - 12/2025

Host by Dr. Tengyu Liu and Dr. Siyuan Huang

MSC Lab, UC Berkeley

10/2023 - 03/2024

Host by Prof. Masayoshi Tomizuka

Professional Activities

Awards & Honors