works on

From the 1 of 5 linked papers with an AI index.

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

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Seeing Globally, Refining Locally: Global Visual Guidance and Local Ultrasound Cues for Robust Freehand 3-D Ultrasound Reconstruction

Yameng Zhang, Zhongyu Chen, Dianye Huang +3

The paper introduces a system that combines external camera tracking with ultrasound image cues to more accurately estimate the probe pose during freehand 3‑D ultrasound scanning,…

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.RO2026

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception

Zhen Zhang, Weinan Wang, Hejia Sun +4

The current practice of dexterous manipulation generally relies on a single wrist-mounted view, which is often occluded and limits performance on tasks requiring multi-view percept…

cs.RO2025

Hierarchical Deformation Planning and Neural Tracking for DLOs in Constrained Environments

Yunxi Tang, Tianqi Yang, Jing Huang +2

Deformable linear objects (DLOs) manipulation presents significant challenges due to DLOs' inherent high-dimensional state space and complex deformation dynamics. The wide-populate…

cs.RO2025

Vibration-Based Energy Metric for Restoring Needle Alignment in Autonomous Robotic Ultrasound

Zhongyu Chen, Chenyang Li, Xuesong Li +5

Precise needle alignment is essential for percutaneous needle insertion in robotic ultrasound-guided procedures. However, inherent challenges such as speckle noise, needle-like art…