Kang Yufan
I am currently working on algorithms for robotics in industry. I received my Ph.D. in 2026 from the Department of Electrical Engineering and Information Systems, The University of Tokyo, where I was advised by Prof. Takeshi Oishi and Prof. Guillaume Caron, and also conducted research at the CNRS-AIST Joint Robotics Lab. Previously I received my M.E. in 2022 from Department of Electrical Engineering and Information Systems, The University of Tokyo and B.E. in 2020 from Department of Electronic Engineering, Tsinghua University.
Former affiliations: 3D Vision Lab, Joint Robotics Lab
Email: kangyufan0329[at]gmail.com
Github: BluecatLi
Google Scholar: Yufan Kang
My PhD research was about object tracking and visual servoing with event cameras. Event cameras are novel sensors that measure intensity changes in each pixel asynchronously. Compared to traditional frame-based cameras, their latency and power consumption are much lower whereas their dynamic range and temporal resolution are higher. These features make event cameras appropriate for object grasping and visual servoing with robots in fast motion. My goal was to enable robots to grab and manipulate fast-moving objects. If you are also interested in event cameras, feel free to discuss with me.
Educations
Publications
Papers
[RA-L'26] Yufan Kang, Ryoichi Ishikawa, Guillaume Caron, Takeshi Oishi. Event-based 6-DoF object tracking with distance field reaching 130 Hz. *IEEE Robotics and Automation Letters (RA-L), 2026. [pdf] [project page]
[ICRA'24] Yufan Kang, Guillaume Caron, Ryoichi Ishikawa, Adrien Escande, Kevin Chappellet, Ryusuke Sagawa, Takeshi Oishi. Direct 3D model-based object tracking with event camera by motion interpolation. *International Conference on Robotics and Automation (ICRA), 2024. [pdf] [video] [poster] [project page] [code]