Kimiya AOKI
Papers
1
Total Citations
22
H-Index
1
About
Kimiya Aoki is a pioneering researcher in intelligent welding systems and manufacturing automation, with a focus on real-time process control using sensor fusion and machine learning. Her most-cited work, “Measurement of Molten Pool Shape and Penetration Control Applying Neural Network in TIG Welding of Thin Steel Plates” (1999, 22 citations), introduced an innovative approach to fully automatic welding by integrating a CCD camera-based visual sensor with a neural network. This system enabled precise detection of molten pool geometry and adaptive control of welding parameters, achieving automatic seam tracking and penetration control for thin steel plates—a critical challenge in industrial fabrication. Aoki’s contributions lie at the intersection of robotics, computer vision, and intelligent control, demonstrating how neural networks can replace traditional manual adjustments in high-precision manufacturing. Her work has influenced subsequent research in adaptive welding automation and cyber-physical production systems. By combining sensor-based monitoring with learning algorithms, Aoki has advanced the practical implementation of smart manufacturing, offering scalable solutions for quality assurance in automated welding processes. Her research remains a foundational reference for engineers developing autonomous robotic welding systems.
Research Focus
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Top Papers
- 1