Qingbin Liao

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

H-Index

About

Dr. Qingbin Liao is a researcher whose work bridges the fields of robotics, control systems, and artificial intelligence, with a particular focus on autonomous navigation and fuzzy logic applications. His most-cited paper, "The Application of Fuzzy Logic in Exploration Vehicle" (2007), introduces a pioneering approach to unmanned driving in unknown environments. In this work, Liao developed onboard speed and steering fuzzy controllers, integrating six ultrasonic sensors for real-time obstacle detection and avoidance. This contribution laid foundational groundwork for intelligent vehicle control, demonstrating how fuzzy logic can enhance decision-making in uncertain, unstructured terrains. Although his citation count stands at 3, the conceptual impact of his research is significant, as it prefigures later advances in autonomous exploration robotics. Liao’s work is especially notable for its practical, sensor-driven design, offering a scalable framework for future unmanned systems. For students and researchers in robotics and AI, his study remains a clear, early example of how fuzzy control can be applied to real-world navigation challenges.