I am an algorithm engineer at Hive Box, specializing in the field of embodied intelligence. My work involves controlling humanoid robot locomotion using reinforcement learning and employing imitation learning to control robotic arms for various industrial applications.
I hold a Master’s degree in Robotics and Control from Umeå University in Sweden. Before that, I participated in an exchange program during my fourth undergraduate year at Shenzhen University and earned dual Bachelor’s degrees: one in Physics from Umeå University and another in Electronic Science and Technology from Shenzhen University. In addition, I have held previous positions at Great Wall and LimX Dynamics.
I am interested in research on the building embodied AI. My current research interest contains Embodied AI, Diffusion Model, Reinforcement Learning and Sim2Real.
For details on my project experience, publications, and more, please visit the Work page.
Education
Master’s Degree in Computing Science (Robotics and Control)
Thesis: Intelligible dialogue manager for social robots
Supervisor: Thomas Hellström , Suna Bensch
Sep 2023 | Umeå, Sweden
Bachelor's degree in Physics
Thesis: A Simulation of Covid-19 Epidemic’s Second Wave Based on a Deterministic Seir Model
Supervisor: Martin Rosvall
Jul 2020 | Umeå, Sweden
Bachelor’s degree in Electronic Science and Technology
Note: Double degree
Jul 2020 | Shenzhen, China
Work Experience
Server Testing(Intern)
Jul 2019 - Aug 2019 | Shenzhen, China
Awards
- Overseas Exchange Study Scholarship in 2020, Shenzhen University, Dec 2019
- Outstanding Student Union Leader, Shenzhen University, Sep 2018
- Huaqiang Scholarship, Shenzhen University, Sep 2016
Interests
When I’m not working with robots or coding, you’ll likely find me on a badminton court, at the gym (sometimes), or deep into a strategy game. I reached Challenger rank with 1000+ LP in Sets 6, 8, 9, 12, and 13 of Teamfight Tactics.
