activity
20222026
most citedGlobal Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach

87 citations · 90 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Coverage Planning for Robotic Tooth Preparation in Densely Constrained Environments

Yunwen Li, Chen Chen, Xiangjie Yan +4

Tooth preparation refers to the controlled removal of tooth structure to create an optimal substrate for fixed restorations and is a core procedure in restorative dentistry. Automa…

cs.RO2026

Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system

Junping Wang, Zhizhong Zhang, Yongqiang Tang +5

Scaling individual robot capabilities is common but costly. Here we investigate a system-level design question in real-world multi-robot coordination: given matched hardware budget…

cs.RO2026

From swept contact to pose: Probe-aware registration via complementary-shape docking

Chen Chen, Yunwen Li, Yifan Xu +5

Accurate registration between a prior model and the real scene is essential for high-precision robotic manipulation, yet optical methods suffer from long calibration chains, line-o…

cs.RO2024★ 2 cited

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

Chen Chen, Qikai Zou, Yuhang Song +4

Current orthopedic robotic systems largely focus on navigation, aiding surgeons in positioning a guiding tube but still requiring manual drilling and screw placement. The automatio…

cs.RO2024★ 1 cited

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

Mingrui Yu, Boyuan Liang, Xiang Zhang +6

Most research on deformable linear object (DLO) manipulation assumes rigid grasping. However, beyond rigid grasping and re-grasping, in-hand following is also an essential skill th…

cs.RO2022★ 87 cited

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

Mingrui Yu, Kangchen Lv, Hanzhong Zhong +2

Robotic manipulation of deformable linear objects (DLOs) has broad application prospects in many fields. However, a key issue is to obtain the exact deformation models (i.e., how r…