Fang-Qiong Yang

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About

Fang-Qiong Yang is a robotics researcher whose work centers on precision navigation and sensor-guided autonomous systems. Her most-cited study, “Precision Docking of a Mobile Robot Using Infrared and Laser Guidance” (2007), addresses a critical challenge in mobile robotics: achieving high-accuracy docking with minimal cost. By integrating infrared sensing with a vertical laser stripe beam, Yang developed a method that enables a robot to lock onto a guidance signal and position itself with remarkable precision. This contribution is particularly valuable for applications in automated manufacturing, warehouse logistics, and service robotics, where reliable docking is essential for battery recharging, payload transfer, or task initiation. Though her citation count is modest—with 4 citations for this key work—the practical significance of her approach lies in its balance of affordability and performance, offering a scalable solution for real-world deployment. Yang’s research exemplifies how thoughtful sensor fusion can overcome cost constraints, making advanced robotic capabilities more accessible. Her work continues to inform engineers seeking efficient, low-cost alternatives for autonomous navigation and docking systems.