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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.RO2025

SurgiPose: Estimating Surgical Tool Kinematics from Monocular Video for Surgical Robot Learning

Juo-Tung Chen, XinHao Chen, Ji Woong Kim +3

Imitation learning (IL) has shown immense promise in enabling autonomous dexterous manipulation, including learning surgical tasks. To fully unlock the potential of IL for surgery,…

cs.RO2025

SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning

Ji Woong Kim, Juo-Tung Chen, Pascal Hansen +11

Research on autonomous surgery has largely focused on simple task automation in controlled environments. However, real-world surgical applications demand dexterous manipulation ove…

cs.RO2025

LUDO: Low-Latency Understanding of Deformable Objects using Point Cloud Occupancy Functions

Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl

Accurately determining the shape of deformable objects and the location of their internal structures is crucial for medical tasks that require precise targeting, such as robotic bi…

cs.RO2025

Towards Fluorescence-Guided Autonomous Robotic Partial Nephrectomy on Novel Tissue-Mimicking Hydrogel Phantoms

Ethan Kilmer, Joseph Chen, Jiawei Ge +7

Autonomous robotic systems hold potential for improving renal tumor resection accuracy and patient outcomes. We present a fluorescence-guided robotic system capable of planning and…

cs.RO2025

Autonomous Vision-Guided Resection of Central Airway Obstruction

M. E. Smith, N. Yilmaz, T. Watts +5

Existing tracheal tumor resection methods often lack the precision required for effective airway clearance, and robotic advancements offer new potential for autonomous resection. W…