Zijuan Liu
Papers
2
Total Citations
9
H-Index
2
About
Zijuan Liu is a pioneering researcher in the field of smart infrastructure and automated inventory management, with a core focus on integrating RFID technology and computer vision for robotic systems. Her major contributions lie in developing fusion-based approaches that overcome the limitations of single-sensor systems, particularly in challenging environments like libraries and warehouses. Her most-cited work, "An RFID and Computer Vision Fusion System for Book Inventory using Mobile Robot" (2022, 7 citations), introduces a novel mobile robot platform that combines RFID data with visual recognition to achieve accurate book identification and order detection, significantly reducing the time and errors associated with manual inventory. In her subsequent study, "Localization of Tagged Objects on Shelf via a Portable Camera-augmented RFID Reader" (2021, 2 citations), she advances cost-effective localization methods for tagged objects, demonstrating that portable, camera-augmented readers can rival fixed-antenna systems in accuracy while offering greater flexibility and lower cost. Liu’s work is notable for its practical impact on smart library and warehousing applications, bridging the gap between theoretical RFID localization and real-world deployment. Her research continues to inspire innovations in autonomous inventory robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1
- 2