Xushen Chen
Papers
1
Total Citations
5
H-Index
1
About
Xushen Chen is a robotics researcher specializing in intelligent path planning and navigation for mobile service robots operating in indoor environments. His most notable contribution is the development of the Floyd-A* (FA*) algorithm, a high-efficiency hierarchical pathfinding approach that integrates grid map decomposition with the Floyd-Warshall algorithm. This method introduces a novel technique for extracting key points and partitioning regions based on indoor environmental features, significantly improving computational efficiency for real-time robot navigation. Although early in his citation impact—with his seminal 2017 paper garnering 5 citations—Chen's work addresses a critical bottleneck in autonomous robotics: balancing path optimality with computational speed in complex, structured spaces. His research bridges classical graph theory and modern robotics, offering practical solutions for service robots in hospitals, warehouses, and homes. Chen's contributions are particularly relevant as the demand for autonomous indoor navigation grows, and his FA* framework provides a foundation for future work in scalable, real-time pathfinding systems.
Research Focus
Key Achievements
Top Papers
- 1