Mingrui Yu

According to our database, Mingrui Yu authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Mingrui Yu, Yongpeng Jiang, Chen Chen, Yongyi Jia, Xiang Li

CoRR, February, 2025

2024

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

Mingrui Yu, Boyuan Liang, Xiang Zhang, Xinghao Zhu, Xiang Li, Masayoshi Tomizuka

CoRR, 2024

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

Mingrui Yu, Boyuan Liang, Xiang Zhang, Xinghao Zhu, Lingfeng Sun, Changhao Wang, Shiji Song, Xiang Li, Masayoshi Tomizuka

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance.

Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Yongpeng Jiang, Mingrui Yu, Xinghao Zhu, Masayoshi Tomizuka, Xiang Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Visual Attention Based Cognitive Human-Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery.

Chen Chen, Qikai Zou, Yuhang Song, Mingrui Yu, Senqiang Zhu, Shiji Song, Xiang Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Compass: Supporting Large Group Mentorship in a Chat-Based UI.

Kehua Lei, Mingrui Yu, Marissa Lewellen, Venus Ku, David T. Lee

Proc. ACM Hum. Comput. Interact., April, 2023

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

Mingrui Yu, Kangchen Lv, Hanzhong Zhong, Shiji Song, Xiang Li

IEEE Trans. Robotics, February, 2023

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

Mingrui Yu, Kangchen Lv, Changhao Wang, Yongpeng Jiang, Masayoshi Tomizuka, Xiang Li

CoRR, 2023

Small-Object Detection for UAV-Based Images.

Mingrui Yu, Henry Leung

Proceedings of the IEEE International Systems Conference, 2023

Regressor-Based Model Adaptation for Shaping Deformable Linear Objects with Force Control.

Hanzhong Zhong, Ziqi Xu, Gan Ma, Mingrui Yu, Xiang Li

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

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

Mingrui Yu, Kangchen Lv, Changhao Wang, Masayoshi Tomizuka, Xiang Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Learning to Occlusion-Robustly Estimate 3-D States of Deformable Linear Objects from Single-Frame Point Clouds.

Kangchen Lv, Mingrui Yu, Yifan Pu, Xiang Li

CoRR, 2022

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

Mingrui Yu, Kangchen Lv, Hanzhong Zhong, Xiang Li

CoRR, 2022

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

Mingrui Yu, Hanzhong Zhong, Xiang Li

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models.

Mingrui Yu, Hanzhong Zhong, Fangxun Zhong, Xiang Li

CoRR, 2021

A Lightweight sequence-based Unsupervised Loop Closure Detection.

Fan Xiong, Yan Ding, Mingrui Yu, Wenzhe Zhao, Nanning Zheng, Pengju Ren

Proceedings of the International Joint Conference on Neural Networks, 2021