1 citations · 4 across the 6 of their papers we have counts for
7 papers · 1 filter
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…
Model selection and real-time skill assessment for suturing in robotic surgery
Zhaoyang Jacopo Hu, Alex Ranne, Alaa Eldin Abdelaal +4
Automated feedback systems have the potential to provide objective skill assessment for training and evaluation in robot-assisted surgery. In this study, we examine methods to achi…
AutoCam: Hierarchical Path Planning for an Autonomous Auxiliary Camera in Surgical Robotics
Alexandre Banks, Randy Moore, Sayem Nazmuz Zaman +2
Incorporating an autonomous auxiliary camera into robot-assisted minimally invasive surgery (RAMIS) enhances spatial awareness and eliminates manual viewpoint control. Existing pat…
Force-Aware Autonomous Robotic Surgery
Alaa Eldin Abdelaal, Jiaying Fang, Tim N. Reinhart +4
This work demonstrates the benefits of using tool-tissue interaction forces in the design of autonomous systems in robot-assisted surgery (RAS). Autonomous systems in surgery must…
Gaze-based Learning from Demonstration In Surgical Robotics
A. E. Abdelaal, S. N. Zaman, P. Y Chen +2
Surgical robotics is a rising field in medical technology and advanced robotics. Robot assisted surgery, or robotic surgery, allows surgeons to perform complicated surgical tasks w…
The Quiet Eye Phenomenon in Minimally Invasive Surgery
Alaa Eldin Abdelaal, Rachelle Van Rumpt, Sayem Nazmuz Zaman +6
In this paper, we report our discovery of a gaze behavior called Quiet Eye (QE) in minimally invasive surgery. The QE behavior has been extensively studied in sports training and h…