Papers
36
Total Citations
872
H-Index
16
About
Zeyu Gong is a prolific researcher whose work sits at the dynamic intersection of mobile robotics, radio frequency identification (RFID)-based localization, and large-scale intelligent manufacturing. His research has made substantial contributions to two principal domains: precision robotic measurement systems for large-scale complex components, and novel RFID-driven positioning and navigation methodologies for mobile robots. Gong's most influential work explores how mobile robotic platforms can achieve high-accuracy 3D measurement and surface reconstruction of large aerospace and marine engineering components, earning over 120 citations for his 2020 optical scanning system alone. Equally impactful is his pioneering development of UHF RFID-based localization techniques — including unwrapped phase-position models, phase-difference navigation, and his RF-SLAM algorithm — which collectively represent a significant advancement in cost-effective, infrastructure-light robot positioning for smart warehouse and manufacturing environments. His 2023 review on climbing robots for manufacturing underscores his broader vision of flexible, large-workspace robotic systems revolutionizing industrial production. With over 630 cumulative citations across his top ten papers, Gong's research has demonstrably shaped modern approaches to robotic intelligence in manufacturing, making his work essential reading for robotics engineers, manufacturing researchers, and localization system designers alike.
Research Focus
Key Achievements
Top Papers
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- 3A Fast UHF RFID Localization Method Using Unwrapped Phase-Position Model93 citations · 2019
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- 5Climbing robots for manufacturing62 citations · 2023
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