3 papers
cs.RO2026
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
cs.RO2025
Autonomous Dissection in Robotic Cholecystectomy
Ki-Hwan Oh, Leonardo Borgioli, Miloš Žefran +2
Robotic surgery offers enhanced precision and adaptability, paving the way for automation in surgical interventions. Cholecystectomy, the gallbladder removal, is particularly well-…
cs.RO2024
Expanded Comprehensive Robotic Cholecystectomy Dataset (CRCD)
Ki-Hwan Oh, Leonardo Borgioli, Alberto Mangano +9
In recent years, the application of machine learning to minimally invasive surgery (MIS) has attracted considerable interest. Datasets are critical to the use of such techniques. T…