Papers
2
Total Citations
10
H-Index
2
About
Dr. Xiancheng Fan is a pioneering researcher in robotics and autonomous systems, with a career spanning foundational theory to cutting-edge applications. His early work introduced the cell-to-cell mapping method for time-optimal trajectory planning in multi-robot arm systems (1995, 6 citations), a seminal contribution that laid the groundwork for efficient coordination in complex manufacturing environments. More recently, Dr. Fan has advanced robot path planning by developing a hybrid algorithm that integrates an improved A* algorithm with the artificial potential field method (2024, 4 citations). This innovative approach addresses critical limitations in traditional path planning—such as long routes, sharp turning angles, and the inability to avoid dynamic obstacles—by combining global search efficiency with real-time local reactivity. His work directly enhances the safety and fluidity of autonomous navigation in cluttered, changing environments. With a career that bridges classical optimization and modern adaptive systems, Dr. Fan’s research continues to influence both industrial robotics and mobile robot autonomy, offering practical solutions for intelligent motion planning.
Research Focus
Key Achievements
Top Papers
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