Mingrui Yu
Orcid: 0000-0002-8928-8121Affiliations:
- UC Berkeley, CA, USA
- Tsinghua University, Intelligent Manipulation Lab, Department of Automation, China (PhD 2026)
According to our database1,
Mingrui Yu authored at least 19 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
Kinematics-Aware Diffusion Policy With Consistent 3D Observation and Action Space for Whole-Arm Robotic Manipulation.
IEEE Robotics Autom. Lett., June, 2026
2025
UniStateDLO: Unified Generative State Estimation and Tracking of Deformable Linear Objects Under Occlusion for Constrained Manipulation.
CoRR, December, 2025
CoRR, June, 2025
Robotic In-Hand Manipulation for Large-Range Precise Object Movement: The RGMC Champion Solution.
IEEE Robotics Autom. Lett., May, 2025
Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking.
CoRR, May, 2025
Generalizable whole-body global manipulation of deformable linear objects by dual-arm robot in 3-D constrained environments.
Int. J. Robotics Res., 2025
2024
In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing.
CoRR, 2024
In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing.
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.
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.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
2023
Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach.
IEEE Trans. Robotics, February, 2023
Regressor-Based Model Adaptation for Shaping Deformable Linear Objects with Force Control.
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.
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.
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.
CoRR, 2022
Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach.
CoRR, 2022
Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models.
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.
CoRR, 2021