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About

Xueyuan Li is a robotics researcher whose work focuses on advancing the autonomy and coordination of mobile robots in complex, real-world environments. His primary research areas include off-road robot navigation, multi-robot formation control, and 3D simultaneous localization and mapping (SLAM). Li’s most significant contribution is his slip-aware motion estimation framework for skid-steered mobile robots, which uses a Multi-Innovation Unscented Kalman Filter to handle the nonlinear tire-terrain interactions that plague off-road navigation—a paper that has garnered 30 citations. He has also advanced multi-robot systems by enhancing formation control through Virtual Structure Approaches integrated with improved path planning algorithms, enabling more reliable coordinated movement. In the domain of perception, Li conducted a comparative study of lidar-only 3D SLAM systems, providing critical insights for autonomous vehicles operating in unknown environments. Additionally, his work on closed-loop kinematic analysis for wheeled mobile robots addresses fundamental modeling challenges over uneven terrain. With a growing citation impact, Li’s research bridges theoretical kinematics and practical deployment, making him a notable contributor to field robotics and autonomous systems.