Papers
6
Total Citations
48
H-Index
3
About
Xiuhui Fu is a robotics and autonomous systems researcher whose work centers on intelligent path planning algorithms and mobile robot control. Fu's most significant contributions lie in the development and refinement of Ant Colony Optimization (ACO) algorithms for mobile robot navigation, addressing key limitations in existing approaches. Most notably, Fu proposed innovative solutions to the path-loss problem inherent in two-way parallel searching strategies, introducing improved ant-meeting judgment methods and pheromone gain mechanisms that enhance both search efficiency and solution optimality. These contributions, published across several studies between 2010 and 2012, have collectively garnered over 40 citations, with the 2011 flagship paper alone earning 18 citations. Fu also extended ACO applications into three-dimensional environments by integrating differential evolution and chaos disturbance factors, broadening the practical scope of robot path planning. Beyond optimization algorithms, Fu has contributed to snake-like robot locomotion using visual tracking systems and explored motion description languages for formalizing wheeled robot control. Together, this body of work reflects a consistent focus on making autonomous robot navigation more reliable, efficient, and applicable to complex real-world environments.
Research Focus
Key Achievements
Top Papers
- 1An Improved Ant Colony Optimization Algorithm for Mobile Robot Path Planning18 citations · 2011
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- 5Research of snake-like robot control system based on visual tracking3 citations · 2011
- 6Control of Wheeled Mobile Robots Based on Motion Description Languages2 citations · 2006