Junting Hou
Papers
1
Total Citations
30
H-Index
1
About
Junting Hou is a researcher whose work lies at the intersection of intelligent robotics and optimization algorithms, with a particular focus on autonomous navigation and dynamic obstacle avoidance. Hou’s most-cited paper, “Dynamic Path Planning for Mobile Robots by Integrating Improved Sparrow Search Algorithm and Dynamic Window Approach” (2024, 30 citations), introduces a novel hybrid method that overcomes the limitations of traditional sparrow search algorithms. By combining logistic–tent chaotic mapping with the dynamic window approach, Hou’s work significantly enhances a robot’s ability to plan efficient, collision-free paths in real-time, changing environments. This contribution is especially valuable for applications in warehouse logistics, autonomous vehicles, and search-and-rescue operations. With growing recognition for advancing the robustness and adaptability of mobile robot navigation, Hou’s research continues to influence both theoretical developments in swarm intelligence and practical implementations in robotics.
Research Focus
Key Achievements
Top Papers
- 1