most citedOpen-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.RO20261 cited

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.CV2025

RocSync: Millisecond-Accurate Temporal Synchronization for Heterogeneous Camera Systems

Jaro Meyer, Frédéric Giraud, Joschua Wüthrich +3

Accurate spatiotemporal alignment of multi-view video streams is essential for a wide range of dynamic-scene applications such as multi-view 3D reconstruction, pose estimation, and…

cs.RO2025

SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound

Yunke Ao, Masoud Moghani, Mayank Mittal +6

Ultrasound (US) is a widely used medical imaging modality due to its real-time capabilities, non-invasive nature, and cost-effectiveness. Robotic ultrasound can further enhance its…

eess.SY2025

A Modular Edge Device Network for Surgery Digitalization

Vincent Schorp, Frédéric Giraud, Gianluca Pargätzi +10

Future surgical care demands real-time, integrated data to drive informed decision-making and improve patient outcomes. The pressing need for seamless and efficient data capture in…

cs.CV2025

Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgery

Emma Most, Jonas Hein, Frédéric Giraud +7

Advances in computer vision, particularly in optical image-based 3D reconstruction and feature matching, enable applications like marker-less surgical navigation and digitization o…