Xiaofeng Lian

Beijing Technology and Business University

Papers

Total Citations

H-Index

About

Xiaofeng Lian is a researcher in robotics and autonomous navigation, with a primary focus on path planning in dynamic environments. Their most cited work, "Mobile robot path planning based on dynamic fuzzy artificial potential field method" (2010, 18 citations), addresses a critical limitation of traditional artificial potential field methods—the local minimum problem—by integrating velocity vectors and fuzzy logic to enhance real-time adaptability, safety, and accessibility. This contribution has been influential in advancing mobile robot navigation, offering a more robust solution for unpredictable settings. Lian’s work demonstrates a commitment to bridging theoretical challenges with practical applications, particularly in dynamic obstacle avoidance. While their citation count reflects a niche but impactful contribution, the paper remains a reference point for researchers exploring fuzzy logic and potential field integration in robotics. Lian’s research underscores the importance of adaptive algorithms in autonomous systems, making their work a valuable resource for students and engineers seeking to improve robot mobility in complex, real-world environments.