Valquiria Huttner
Papers
2
Total Citations
18
H-Index
2
About
Valquiria Huttner is a researcher specializing in intelligent robotic welding systems, with a primary focus on vision-based measurement (VBM) for industrial automation. Her work addresses the critical challenge of achieving high-precision welding in demanding environments, particularly in shipbuilding and manufacturing. Huttner’s major contribution lies in developing automated control modules that integrate single CMOS cameras and FPGAs to enable real-time, adaptive welding groove measurements and robotic guidance. Her most-cited paper, "Vision-based system for welding groove measurements for robotic welding applications" (2016, 14 citations), demonstrates how varying conditions and algorithms affect the measurement of beveled edges, directly supporting international fusion welding standards. In a subsequent study (2015, 4 citations), she applied this VBM system to the Bug-O Matic Weaver robot for shipyard welding, showcasing a practical, automated control module that enhances precision and efficiency. Huttner’s work bridges computer vision and robotics, offering scalable solutions for intelligent manufacturing. Her research is particularly valuable for students and engineers seeking to advance automation in heavy industries, where consistent weld quality is paramount.
Research Focus
Key Achievements
Top Papers
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