Hongjian Xiao
Papers
1
Total Citations
9
H-Index
1
About
Hongjian Xiao is a researcher focused on advancing autonomous navigation and motion control for mobile robotics, particularly in indoor environments. His work addresses critical challenges in path planning by enhancing the efficiency and smoothness of robot trajectories. In his most-cited paper, "Path planning of indoor mobile robot based on improved A* algorithm incorporating RRT and JPS" (2023, 9 citations), Xiao proposes a novel hybrid algorithm that integrates the A* search with Rapidly-exploring Random Trees (RRT) and Jump Point Search (JPS). This approach overcomes limitations of traditional methods, such as discontinuous path curvature and low planning efficiency, offering a more robust solution for real-world industrial applications. By bridging theoretical algorithm development with practical verification, Xiao’s contributions help enable smarter, more reliable indoor robots. His work is particularly relevant to researchers in robotics, automation, and intelligent systems, providing a foundation for further innovation in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1