Papers
8
Total Citations
279
H-Index
8
About
Zhenzhou Wang is a researcher whose work bridges computer vision, structured light sensing, and intelligent robotics, with particular focus on robotic arc welding automation and three-dimensional reconstruction. His most influential contributions center on developing robust imaging and measurement systems for weld pool monitoring — a notoriously challenging problem given the intense arc light and highly specular surfaces involved in welding environments. His 2015 paper on weld pool reconstruction (103 citations) and his 2014 work on GMAW weld pool monitoring via reflected laser lines (70 citations) established him as a leading voice in structured light-based sensing for industrial welding applications. By enabling real-time feedback on weld pool geometry, Wang's research has helped pave the way for more reliable and autonomous robotic welding systems. Beyond welding, he has extended his expertise in structured light techniques to broader 3D reconstruction challenges, including single-shot face reconstruction (30 citations) and real-time hand modeling. His more recent interests incorporate face recognition for intelligent security and a comprehensive 2024 review of active visual sensing in robotic welding, signaling his continued influence in shaping future directions for intelligent manufacturing and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5A New Face Recognition Method for Intelligent Security18 citations · 2020
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