XinHui Hong
Papers
1
Total Citations
16
H-Index
1
About
XinHui Hong is a leading researcher in mobile robotics and intelligent path planning, with a focus on developing efficient, multi-objective trajectory optimization algorithms. Their most-cited work, "Designing the optimal path curve based on spline functions for mobile robot using the combination of bee colony algorithm and genetic algorithm" (2024, 16 citations), introduces a novel hybrid metaheuristic approach that integrates artificial bee colony and genetic algorithms with spline-based curve design. This method simultaneously optimizes path length, travel time, and energy consumption—a significant advancement over classical or single-algorithm planners. By fusing swarm intelligence with evolutionary computation, Hong’s work addresses the critical trade-offs in real-world robotic navigation, offering smoother and more energy-efficient routes. This contribution is particularly valuable for autonomous systems operating in complex, dynamic environments. With growing recognition for their innovative hybrid algorithms, Hong is establishing a strong foundation for next-generation mobile robot autonomy, bridging the gap between theoretical optimization and practical deployment. Their research continues to inspire new directions in intelligent transportation and field robotics.
Research Focus
Key Achievements
Top Papers
- 1