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

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Object-Centered Reconstruction for Vision-Based 3D Force Estimation

Zhonghao Zhang, Mingyeung Wu, Hao Yang +3

Excessive force may damage tissue and increase the risk of anastomotic leakage in robotic colorectal surgery. Although the da Vinci 5 provides force sensing, this capability is una…

cs.RO2026

Transferable Tool-Tissue Contact Detection from Stereo Depth in Robot-Assisted Surgery

Mingyeung Wu, Zhonghao Zhang, Hao Yang +2

Reliable tool--tissue contact detection can support interaction-aware control and downstream force estimation in robot-assisted surgery. Most existing methods learn a contact class…

cs.RO2026

Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection

Yi Wang, Wendi Chen, Zimo Wen +8

Pretrained vision-language-action (VLA) policies provide strong language-conditioned manipulation knowledge, but they remain largely vision-driven and can struggle once manipulatio…

cs.RO2026★ 1 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…

eess.IV2024

SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision

Xing Yao, Runxuan Yu, Dewei Hu +10

Ultrasound (US) image stitching can expand the field-of-view (FOV) by combining multiple US images from varied probe positions. However, registering US images with only partially o…