About me
I am a Robotics Master’s student at Johns Hopkins University. I am passionate about about leveraging emerging technologies like digital twins, robotics, and mixed reality to address critical challenges in various domains. My research focuses on developing intelligent, computer-assisted systems to enhance precision, efficiency, and decision-making in real-world applications.
Currently, I am working on a Mixed Reality platform integrated with NVIDIA Isaac Sim for scalable robotic data generation. Additionally, under the guidance of Prof. Mathias Unberath, I am applying imitation learning algorithms in medical robotics to enable autonomous surgical assistance.
Previously, I was advised by Prof. Alejandro Martin-Gomez, where I worked on visualization techniques in Augmented Reality, and advised by Prof. Peter Kazanzides, where I explored leveraging digital twin environments to mitigate the impact of communication loss during teleoperation. In addition, I have been collaborating with Prof. Vinciya Pandian to develop a high-fidelity virtual reality (VR) system for clinical training, aimed at standardizing procedural workflows and improving training outcomes in healthcare.
Publications
(* indicates equal contribution)- dARt Vinci: Egocentric Data Collection for Surgical Robot Learning at Scale
Yihao Liu*, Yu-Chun Ku*, Jiaming Zhang*, Hao Ding, Peter Kazanzides, Mehran Armand.
International Conference on Intelligent Robots and Systems (IROS), 2025.
Paper
- A Digital Twin for Telesurgery under Intermittent Communication
Junxiang Wang, Juan Antonio Barragan, Hisashi Ishida, Jingkai Guo, Yu-Chun Ku, Peter Kazanzides.
International Symposium on Medical Robotics (ISMR), 2025.
Paper
- StraightTrack: Towards Mixed Reality Navigation System for Percutaneous K-wire Insertion
Han Zhang, Benjamin D. Kileen, Yu-Chun Ku, Lalithkumar Seenivasan, Yuxuan Zhao, Mingxu Liu, Yue Yang, Suxi Gu, Alejandro Martin-Gomez, Russell H. Taylor, Greg Osgood, Mathias Unberath.
Wiley Health Technology Letters, 2024. Special Issue: MICCAI AE-CAI 2024
Paper
- Evaluating the Effectiveness of Visual Guidance for Out-of-View Object Localization using Mixed Reality Head-Mounted Displays
Yu-Chun Ku, Alejandro Martin-Gomez.
International Symposium on Mixed and Augmented Reality (ISMAR), 2024
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