Lei Zou

Brunel University of London, Shandong University of Science and Technology

Papers

Total Citations

641

H-Index

About

Lei Zou is a leading researcher in mobile robotics, specializing in smooth path planning and swarm intelligence optimization. Their work addresses a critical challenge in autonomous navigation: generating continuous, collision-free trajectories that respect the kinematic constraints of real-world robots. Zou’s most impactful contribution is the development of an improved Particle Swarm Optimization (PSO) algorithm integrated with high-degree Bézier curves, enabling the creation of smooth, dynamically feasible paths for mobile robots. This seminal 2020 paper has garnered over 427 citations, reflecting its widespread adoption in both academic research and practical robotics applications. Earlier foundational work, including a novel multimodal delayed PSO approach (149 citations) and a kinematic-constraint-aware planning framework (65 citations), established Zou as a pioneer in smooth global path planning. By combining advanced optimization techniques with geometric curve representations, Zou has significantly enhanced the efficiency and safety of autonomous navigation systems. Their research continues to influence the fields of intelligent transportation, warehouse automation, and service robotics, making complex path planning problems more tractable for real-time deployment.