Papers
1
Total Citations
8
H-Index
1
About
Qiaoling Wu is a researcher focused on intelligent transportation systems and automation technologies, with a particular emphasis on the development and application of Automated Guided Vehicle (AGV) parking robots. Her work addresses the growing urban challenge of parking scarcity by exploring how AGV technology—traditionally used in industrial and logistics settings—can be adapted for smart parking garages. In her most-cited paper, "Research on the development status of AGV parking robot based on patent analysis" (2021, 8 citations), Wu provides a comprehensive patent landscape analysis that maps the technological evolution and commercial adoption of AGV parking robots. This study highlights how dozens of enterprises have entered this emerging field, underscoring the practical significance of her research. Wu’s contributions are valuable for engineers, urban planners, and policymakers seeking data-driven insights into the commercialization and innovation trends of automated parking solutions. Her work bridges patent analytics with real-world infrastructure challenges, offering a foundation for future advancements in smart mobility and robotic automation.
Research Focus
Key Achievements
Top Papers
- 1