Ying-Chun Thomas Lee

About Ying-Chun Thomas Lee

I am currently pursuing an M.S. in Electrical and Computer Engineering at the University of Washington, building on a background in Electrical Engineering from Yuan Ze University. My interests focus on Embodied AI, robotics, and software engineering, especially building systems that enable learning-based methods to run reliably on real robotic platforms.I collaborate with the PRIOR team at the Allen Institute for AI (Ai2), working with PhD researcher Jiafei Duan on infrastructure for real-world robotics learning and evaluation. Previously, as a Robotics Engineer Intern at Chang Chun Group, I developed a digital twin and imitation learning platform for the ALOHA VX300S robotic arm, integrating perception, trajectory planning, and learning-based control.Personal website: https://thomas0829.com

Experience

1. Robotics Software Team Member

   Husky Robotics

   Sep 2025 — Present · Seattle, WA, US

   Improved the AR camera module by modernizing pose estimation, enhancing calibration, and adding new user features.Replaced deprecated cv:aruco:estimatePoseSingleMarkers with cv:solvePnP for long-term compatibilityImplemented an AR detection toggle system for better usabilityCalibrated a global shutter camera (0.103 px reprojection error) for higher accuracyStrengthened experience in computer vision, real-time robotics systems, and modern C++ development

Education

• University of Washington

  Master of Science - MS, Electrical and Computer Engineering

• Yuan-Ze University

  Bachelor of Science - BS, Electrical Engineering