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

activity
20242026
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.RO2026

Reeling It In: Flexible Needle Pick Up via Thread Manipulation for Autonomous Suturing

Emma Huang, Zih-Yun Chiu, Neelay Joglekar +2

The paper presents a robotic system that uses a suture thread as an assistive tool to pick up needles indirectly, enabling safe and reliable needle retrieval even when the needle i…

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.RO2025

Optimal Motion Scaling for Delayed Telesurgery

Jason Lim, Florian Richter, Zih-Yun Chiu +6

Robotic teleoperation over long communication distances poses challenges due to delays in commands and feedback from network latency. One simple yet effective strategy to reduce er…

cs.RO2025

Differentiable Rendering-based Pose Estimation for Surgical Robotic Instruments

Zekai Liang, Zih-Yun Chiu, Florian Richter +1

Robot pose estimation is a challenging and crucial task for vision-based surgical robotic automation. Typical robotic calibration approaches, however, are not applicable to surgica…

cs.RO2024

SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning

Yun-Jie Ho, Zih-Yun Chiu, Yuheng Zhi +1

Surgical automation holds immense potential to improve the outcome and accessibility of surgery. Recent studies use reinforcement learning to learn policies that automate different…