Xichang Lu

Papers

Total Citations

H-Index

About

Xichang Lu is a researcher in mobile robotics, with a primary focus on path planning and obstacle avoidance algorithms. His most cited work, "A hybrid algorithm based on Artificial Potential Field and BUG for path planning of mobile robot" (2013, 24 citations), introduces the APF-B algorithm—a novel hybrid that combines the Artificial Potential Field method with the BUG algorithm. This approach effectively addresses the GNRON (Goal Non Reachable with Obstacle Nearby) problem, a common limitation in potential field methods, by modifying the potential field function to ensure robots can reach their goals even when obstacles are nearby. Lu’s contribution is significant for improving the reliability and efficiency of autonomous navigation in cluttered environments. While his citation count reflects a focused but impactful body of work, his APF-B algorithm stands as a practical solution for mobile robot path planning, offering a robust alternative to traditional methods. This work is particularly valuable for students and researchers exploring hybrid approaches in robotics, demonstrating how combining established techniques can overcome specific technical challenges in real-world applications.