activity
20232026
most citedSuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data

2 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO2026

Robust Surgical Robotic Instrument Tracking via Sequential Multi-Cue Fusion and Sim-to-Real Self-Training

Hanyang Hu, Zekai Liang, Florian Richter +1

Efficient and robust tracking of surgical robotic instruments is important for robot-assisted minimally invasive surgery, yet remains challenging due to the complexity of surgical…

cs.RO2024

CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera

Jingpei Lu, Zekai Liang, Tristin Xie +4

Camera-to-robot calibration is crucial for vision-based robot control and requires effort to make it accurate. Recent advancements in markerless pose estimation methods have elimin…

cs.RO2023

Tracking Snake-like Robots in the Wild Using Only a Single Camera

Jingpei Lu, Florian Richter, Shan Lin +1

Robot navigation within complex environments requires precise state estimation and localization to ensure robust and safe operations. For ambulating mobile robots like robot snakes…

cs.RO2023★ 1 cited

Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints

Yutong Zhang, Fei Liu, Xiao Liang +1

Cloth manipulation is a category of deformable object manipulation of great interest to the robotics community, from applications of automated laundry-folding and home organizing a…

cs.RO2023

Real-to-Sim Deformable Object Manipulation: Optimizing Physics Models with Residual Mappings for Robotic Surgery

Xiao Liang, Fei Liu, Yutong Zhang +3

Accurate deformable object manipulation (DOM) is essential for achieving autonomy in robotic surgery, where soft tissues are being displaced, stretched, and dissected. Many DOM met…