Qiaodi Yuan

Education



Korea Advance Institutes of Science and Technology (KAIST) Sep. 2019 – Present

Ph. D. Mechanical Engineering 

University of Bristol             Sep. 2017 – Sep. 2018

M.S. Robotics 

East China university of Science and Technology               Sep. 2013 – Jun. 2017

B.S. Electrical Engineering

Research Experience

• Development of Haptic Device for Reproducing Medical Twin based Physical Reality

I build MR-based (mixed reality) vein injection training simulation using developed haptic device in our lab.

• Haptic Feedback Method for Surgical Robots by Machine Learning of Differences between High and Low Element-Density Deformation Models, and Real-Time Simulation

This project aims to provide precise haptic feedback to surgeon in surgeries using surgical robots. FEM simulation with High-resolution is accurate but since the refresh rate of haptic feedback is 1kHz, it is difficult to meet the requirement. Therefore, our approach is to mapping from low-resolution simulation to high-resolution ones. I am researching on building the mapping function.

Publications

1. S.  Abeywardena , Q. Yuan, A. Tzemanaki, E. Psomopoulou, L. Droukas, C. Melhuish, and S. Dogramadzi, "Estimation of Tool-Tissue Forces in Robot-assisted Minimally Invasive Surgery Using Neural Networks", Frontiers in Robotics and AI, vol.6, 2019.

2. Q. Yuan and D. Y. Lee, "Tracking of Needle Grip for the Augmented Reality Simulation of Vascular Injection," 2023 23rd International Conference on Control, Automation and Systems (ICCAS), Yeosu, Korea, Republic of, 2023, pp. 1665-1670.

3. Q. Yuan, H. T. Han, D. Y. Lee, K. Lee, and D. C. Lee, "Model Registration for a Portable Haptic Interface of the Augmented Reality Simulation of Intravenous Injection", KSME Annual Meeting, 2022.