Lian Jun Hu

South China Agricultural University, Shanghai University of Finance and Economics

Papers

Total Citations

H-Index

About

Lian Jun Hu is a researcher focused on advancing autonomous navigation and control systems for robotics, particularly in challenging agricultural environments. Their work centers on integrating artificial intelligence with sensor fusion to overcome limitations in Global Navigation Satellite Systems (GNSS). Hu’s most notable contribution is a neural network-based SLAM/GNSS fusion localization algorithm, designed to maintain precise robot control in orchards and farmlands where GNSS signals are degraded or lost. This 2025 paper has already garnered 2 citations, reflecting its timely relevance to precision agriculture and field robotics. Additionally, Hu explored intelligent control methods for robotic arms, developing a fuzzy neural network controller to improve trajectory tracking, as demonstrated in a 2011 study. This earlier work highlighted the effectiveness of fuzzy neural networks over conventional controllers in system simulations. Together, Hu’s research bridges the gap between theoretical AI control systems and practical deployment in unstructured outdoor environments, offering robust solutions for agricultural automation. Their contributions are particularly valuable for students and researchers working on resilient localization and adaptive control in real-world robotic applications.