1 citations · 1 across the 13 of their papers we have counts for
15 papers
Reeling It In: Flexible Needle Pick Up via Thread Manipulation for Autonomous Suturing
Emma Huang, Zih-Yun Chiu, Neelay Joglekar +2
Suture-needle pickup is necessary for autonomous suturing, as a needle can be unexpectedly dropped or strategically released to adjust the grasping configuration. Current methods f…
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…
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…
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…
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…
SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation
Nikhil U. Shinde, Zih-Yun Chiu, Florian Richter +4
Inaccurate tool localization is one of the main reasons for failures in automating surgical tasks. Imprecise robot kinematics and noisy observations caused by the poor visual acuit…