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20212026
most citedSim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery

73 citations · 87 across the 17 of their papers we have counts for

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11 papers · 1 filter

cs.RO2026

Occupancy Network-Guided Autonomous Robotic Partial Nephrectomy

Ethan Kilmer, Pit Henrich, Jiawei Ge +13

Autonomous soft-tissue cancer surgery has been limited to interventions on organ surfaces, because current systems cannot perceive and adapt to anatomy once it deforms or is cut. W…

cs.RO2026

A Compact Top-Loading Robot for Endovascular Interventions: Design, Control and Evaluation

Jonas Fischer, Lennart Karstensen, Franziska Mathis-Ullrich

Robot-assisted endovascular intervention can potentially reduce radiation exposure, improve surgeon ergonomics, enable telesurgery, support active assistance and autonomy, and enha…

cs.RO2026

Comparing Commercial Depth Sensor Accuracy for Medical Applications

Pit Henrich, Maximilian Weiherer, Franziska Hansen +2

Depth estimation has numerous medical and surgical applications. We benchmark four depth sensors on a porcine bone specimen, a porcine belly specimen, and a silicone kidney phantom…

cs.RO2026

Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom

Balázs Gyenes, Nikolai Franke, Paul Maria Scheikl +5

High-risk applications in robotics, such as robot-assisted surgery, present unique challenges. These systems must be both highly precise and interpretable in order to be deployed i…

cs.RO20261 cited

A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START)

Harry Robertshaw, Anna Barnes, Phil Blakelock +20

While we are making progress in overcoming infectious diseases and cancer; one of the major medical challenges of the mid-21st century will be the rising prevalence of stroke. Larg…

cs.RO2024

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

Pit Henrich, Jiawei Liu, Jiawei Ge +5

To track tumors during surgery, information from preoperative CT scans is used to determine their position. However, as the surgeon operates, the tumor may be deformed which presen…