1 citations · 1 across the 1 of their papers we have counts for
5 papers
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…
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-…
Sensory Glove-Based Surgical Robot User Interface
Leonardo Borgioli, Ki-Hwan Oh, Valentina Valle +9
Robotic surgery has reached a high level of maturity and has become an integral part of standard surgical care. However, existing surgeon consoles are bulky, take up valuable space…
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…
Comprehensive Robotic Cholecystectomy Dataset (CRCD): Integrating Kinematics, Pedal Signals, and Endoscopic Videos
Ki-Hwan Oh, Leonardo Borgioli, Alberto Mangano +9
In recent years, the potential applications of machine learning to Minimally Invasive Surgery (MIS) have spurred interest in data sets that can be used to develop data-driven tools…