Fan Ye

Papers

Total Citations

H-Index

About

Fan Ye is a leading researcher in mobile robotics, specializing in multi-objective path planning and swarm intelligence optimization. His work addresses critical challenges in autonomous navigation, focusing on generating safe, smooth, and efficient trajectories for mobile robots in complex environments. Ye’s most impactful contribution is his 2024 paper on solving the multi-objective path planning problem using an improved NSGA-II algorithm, which has already garnered 64 citations—a testament to its immediate influence in the field. In the same year, he proposed a hybrid artificial bee colony algorithm with a genetic augmented exploration mechanism (HABC-GA), which enhances path safety and smoothness while avoiding obstacles, earning 11 citations. By integrating evolutionary computation with nature-inspired metaheuristics, Ye pushes the boundaries of autonomous navigation, enabling robots to balance competing objectives like path length, safety, and energy efficiency. His work is essential reading for researchers and students advancing mobile robot autonomy, offering practical, high-performance solutions for real-world deployment in logistics, exploration, and service robotics.