Xiao Hongtu
Papers
1
Total Citations
5
H-Index
1
About
Xiao Hongtu is a researcher specializing in mobile robotics and intelligent path planning, with a particular focus on developing algorithms that balance global optimality with real-time obstacle avoidance. Their most cited work, "Global Dynamic Path Planning Based on Fusion of Improved A* Algorithm and Morphin Algorithm" (2019, 5 citations), introduces a novel hybrid approach that enhances the classic A* algorithm by redesigning its heuristic function for greater efficiency, then fusing it with the Morphin search tree algorithm for dynamic local navigation. This contribution addresses a critical challenge in autonomous navigation—enabling robots to compute globally efficient routes while safely reacting to unexpected obstacles in real time. Though early in its citation impact, this work represents a practical step toward more adaptive and robust robotic systems. Hongtu’s research sits at the intersection of computational geometry, optimization, and control, offering valuable insights for students and engineers working on autonomous vehicles, service robots, or any system requiring intelligent, responsive movement in complex environments.
Research Focus
Key Achievements
Top Papers
- 1