Jiuwu Zhang

About

Jiuwu Zhang is a leading researcher in the field of RFID-enabled robotic localization, with a focus on transforming warehousing, smart manufacturing, and library automation. His work centers on solving the critical challenge of accurately locating tagged objects using mobile robots, a problem of immense practical importance for applications like automatic item fetching and misplacement detection. Zhang’s major contributions include pioneering approaches to overcome the limitations of existing RFID systems, particularly the detrimental impact of unstable robot moving speed on localization accuracy. His most cited work, "Accurate Localization of Tagged Objects Using Mobile RFID-Augmented Robots" (2019, 99 citations), established foundational techniques for this domain. He further advanced the field with "SILoc: A Speed Inconsistency-Immune Approach" (2021, 16 citations), which directly addresses the speed-stability assumption that plagues conventional systems. Zhang has also innovated by fusing RFID with computer vision, as demonstrated in his work on book inventory for smart libraries (2022), and by developing cost-effective portable reader solutions (2021). With a growing citation impact, Zhang is recognized for making RFID-robot localization more robust, practical, and scalable for real-world deployment.

Research Focus

Key Achievements

Top Papers

1. 1
   Accurate Localization of Tagged Objects Using Mobile RFID-Augmented Robots

   99 citations · 2019
2. 2
   SILoc: A Speed Inconsistency-Immune Approach to Mobile RFID Robot Localization

   16 citations · 2021
3. 3
   Toward Robust RFID Localization via Mobile Robot

   15 citations · 2024
4. 4
   An RFID and Computer Vision Fusion System for Book Inventory using Mobile Robot

   7 citations · 2022
5. 5
   Localization of Tagged Objects on Shelf via a Portable Camera-augmented RFID Reader

   2 citations · 2021

Key Collaborators

Contact & Links