He received his Bachelor's degree in Mechatronics Engineering from Zhejiang University, China in 2018, and his Master's degree in Mechatronik und Informationstechnik from Karlsruher Institute of Technology, Germany in 2021. During his master thesis, "Investigation of Reoptimization Approaches for the Coordination of Heterogeneous Robotics Teams", he proposed a genetic-algorithm-based reoptimziation framework for solving the Dynamic-Multi-Robot-Task-Allocation (DMRTA) problem.
Since Feb.2022, he has worked as a research fellow at the Italian Institute of Technology, Artificial and Mechanical Intelligence Group, which Dr. Daniele Pucci leads.
Also, he has been enrolled as a split-site Ph.D. student with the University of Manchester, UK since Jan.2023.
His research interests are mainly in control theory, robotics, and reinforcement learning.