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

1 citations · 1 across the 2 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.HC2026

Real-time, Directionality Aware 3D Ultrasound Reconstruction and Re-Slicing

Tobias Jaeggi, David Gregory Black, Septimiu Salcudean

Tele-ultrasound through teleoperation allows experts to perform examinations remotely in communities, but limited connectivity can lead to communication delays that reduce usabilit…

cs.RO2026

Instrument-Splatting++: Towards Controllable Surgical Instrument Digital Twin Using Gaussian Splatting

Shuojue Yang, Zijian Wu, Chengjiaao Liao +5

High-quality and controllable digital twins of surgical instruments are critical for Real2Sim in robot-assisted surgery, as they enable realistic simulation, synthetic data generat…

cs.CV2026

Towards Automated Initial Probe Placement in Transthoracic Teleultrasound Using Human Mesh and Skeleton Recovery

Yu Chung Lee, David G. Black, Ryan S. Yeung +1

Cardiac and lung ultrasound are technically demanding because operators must identify patient-specific intercostal acoustic windows and then navigate between standard views by adju…

cs.RO2026

SurgCalib: Gaussian Splatting-Based Hand-Eye Calibration for Robot-Assisted Minimally Invasive Surgery

Zijian Wu, Shuojue Yang, Yu Chung Lee +3

We present a Gaussian Splatting-based framework for hand-eye calibration of the da Vinci surgical robot. In a vision-guided robotic system, accurate estimation of the rigid transfo…