Scholar
Yu-Chun Ku
Google Scholar ID: Wvv8c8EAAAAJ
Johns Hopkins University
Citations & Impact
Citations
4
H-index
2
i10-index
0
Publications
7
Co-authors
15
list available
Publications
Resume (English only)
Research Experience
- Working on a Mixed Reality platform integrated with NVIDIA Isaac Sim for scalable robotic data generation.
- Applying imitation learning algorithms in medical robotics to enable autonomous surgical assistance under the guidance of Prof. Mathias Unberath.
- Worked on visualization techniques in Augmented Reality advised by Prof. Alejandro Martin-Gomez.
- Explored leveraging digital twin environments to mitigate the impact of communication loss during teleoperation, advised by Prof. Peter Kazanzides.
- 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.
Education
- MSE in Robotics, Johns Hopkins University, Advisors: Prof. Mathias Unberath, Prof. Alejandro Martin-Gomez, Prof. Peter Kazanzides, Prof. Vinciya Pandian
Background
- A Robotics Master’s student at Johns Hopkins University. Passionate about leveraging emerging technologies like digital twins, robotics, and mixed reality to address critical challenges in various domains. Research focuses on developing intelligent, computer-assisted systems to enhance precision, efficiency, and decision-making in real-world applications.
Miscellany
- Interests include robotics, digital twins, and mixed reality.
