Papers
7
Total Citations
277
H-Index
5
About
Haibing Wu is a leading researcher in the integration of radio frequency identification (RFID) technology with mobile robotics, specializing in high-precision localization, navigation, and dynamic object tracking. His core contributions center on developing novel RFID-based methods that leverage phase difference, readability, and unwrapped phase-position models to enable robots to accurately determine the position of passive tags and objects without relying on external infrastructure. His most influential work, an RFID-based mobile robot localization method combining phase difference and readability, has garnered 101 citations, while his fast UHF RFID localization method using an unwrapped phase-position model has received 93 citations, underscoring their impact on the field. Wu has also advanced dynamic object following for mobile robots and standalone navigation using single passive tags, with his 2021 paper on dynamic object following earning 35 citations. His recent work extends into ground penetrating radar for robotic-built underground structures, demonstrating versatility. Through these innovations, Wu has significantly enhanced the autonomy and precision of RFID-guided robotic systems, making him a key figure in industrial automation and mobile robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Fast UHF RFID Localization Method Using Unwrapped Phase-Position Model93 citations · 2019
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- 6An Efficient RFID-Based Localization Method with Mobile Robot3 citations · 2016
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