Ying-Chun Lee

Ying-Chun Lee

M.S. in ECE, University of Washington
Robot Learning Real-Robot Systems Software Engineering

Hi, I'm Ying-Chun Lee, and you can also call me Thomas. I'm a master's student in Electrical and Computer Engineering at the University of Washington. I build robot-learning and software infrastructure for real-robot systems, including work around Vision-Language-Action (VLA) models and the tooling that connects policies to hardware: deployment, teleoperation, evaluation, real-time control, and reward modeling.

My robotics experience includes work as a Robotics Software Engineer Intern at Chang Chun Group's Information Center, where I built an NVIDIA Isaac Sim digital twin and imitation-learning platform for the ALOHA-ViperX 300S robotic arm; Husky Robotics rover perception with OWL-ViT and RealSense depth sensing; and research collaboration with Jiafei Duan and collaborators from Ai2 PRIOR on real-robot policy infrastructure.

Before UW, I conducted research on deep learning-based shoulder ultrasound medical image segmentation with guidance from Prof. Yih-Kuen Jan at the DRES Lab, University of Illinois at Urbana-Champaign (UIUC), and Prof. Chih-Yang Lin. That project became a first-author paper in IEEE Access. From June to September 2026, I was a Software Development Engineer Intern at Amazon.

Focus

  • Robot Learning Research VLA models, reward modeling, simulation, policy learning, and open robot ecosystems.
  • Real-Robot Systems Robotics Software Policy deployment, teleoperation, evaluation, and real-time robot infrastructure.
  • Chang Chun Group — Information Center Robotics Internship Built an NVIDIA Isaac Sim digital twin and imitation-learning tooling for the ALOHA-ViperX 300S robotic arm.
  • Seattle Source Ranker Software Engineering Distributed data pipeline and React interface over 400K+ GitHub repositories.

Updates

Sep 2026 Completed my Software Development Engineer Internship at Amazon in September 2026.
Recent
  • Sep 2026 MolmoAct2, MolmoB0T, and TOPReward were accepted to the Conference on Robot Learning (CoRL) 2026.
  • Jul 2026 MolmoSpaces was published at Robotics: Science and Systems (RSS) 2026.
Earlier updates
  • Oct 2025 Real-robot policy research with Jiafei Duan and collaborators from Ai2 PRIOR focused on deployment, teleoperation, evaluation, and real-time robot infrastructure.
  • Aug 2025 Completed my internship at Chang Chun Group — Information Center as a Robotics Software Engineer Intern, building an imitation-learning platform for the ALOHA-ViperX 300S robotic arm.
  • Jul 2024 First-author shoulder-ultrasound medical image segmentation paper published in IEEE Access.