Summary
Shuoyuan Xu is a research-focused mobile robotics engineer with nine years of experience developing SLAM, sensor fusion, and multi-target tracking solutions for autonomous systems in challenging real-world environments. Currently a Research Associate at Loughborough University, he designs reliable LiDAR and visual SLAM pipelines for agricultural robots while previously creating sensor data association and GNSS-enhancing navigation systems for drone defence and urban construction applications. His background spans academic PhD research and industry KTP roles, combining rigorous probabilistic methods, RNN-based sensor fusion, and practical implementation in ROS, C++, MATLAB, and Python. Notably, he has bridged aerospace CFD tooling and robotics by automating complex simulation workflows earlier in his career, and he actively contributes open-source SLAM extensions that reflect a commitment to community-driven innovation.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Flight Vehicle Propulsion Engineering, Bachelor of Science (BS), Flight Vehicle Propulsion Engineering at 南京航空航天大学
Doctor of Philosophy - PhD, PhD in Aerospace, Doctor of Philosophy - PhD, PhD in Aerospace at Cranfield University
English, Chinese