2 papers
cs.RO2026
ARCGym: Benchmarking Deep Reinforcement Learning in Autonomous Robotic Colonoscopy
Guanglin Ji, Martina Finocchiaro, Kenny Erleben +1
Simulations for learning-based autonomous colonoscopic navigation focus mainly on fully actuated capsule robots, failing to capture the contact-rich navigation of long and flexible…
cs.CV2025
HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation
Martina Finocchiaro, Ronja Stern, Abraham George Smith +3
High-resolution colon segmentation is crucial for clinical and research applications, such as digital twins and personalized medicine. However, the leading open-source abdominal se…