Jia-Fu Liao

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Jia-Fu Liao is a leading researcher in autonomous mobile robotics, with a primary focus on navigation and control in challenging, sparse-feature environments. His most-cited work, "Autonomous Mobile Robot Navigation in Sparse LiDAR Feature Environments" (2021, 38 citations), addresses a critical bottleneck in industrial automation: the reliable trajectory tracking of Autonomous Guided Vehicles (AGVs) in settings where traditional LiDAR-based localization often fails. Dr. Liao’s major contribution lies in his rigorous analysis and enhancement of the Pure Pursuit (PP) algorithm—a widely used, simple, yet often under-optimized control method. By systematically investigating its performance in sparse environments, he has provided both theoretical insights and practical modifications that improve robustness and accuracy, directly impacting real-world factory logistics and warehouse operations. His work bridges the gap between classical control theory and modern sensor limitations, offering engineers a more reliable framework for deploying AGVs in complex industrial settings. With a growing citation record, Dr. Liao is recognized for advancing the practical reliability of autonomous navigation, making him a key figure in the evolution of intelligent, self-guided industrial vehicles.