Shigeaki Usui

Keio University

Papers

1

Total Citations

22

H-Index

1

About

Shigeaki Usui is a pioneering researcher in intelligent welding systems, with a primary focus on automated process control and sensor integration for manufacturing. His most influential work centers on the development of neural network-based control for TIG welding, where he introduced a groundbreaking method to measure molten pool shape and achieve precise penetration control in thin steel plates. This 1999 study, cited 22 times, laid the foundation for fully automatic welding by integrating a CCD camera-based visual sensor system capable of real-time seam tracking and adaptive adjustment of welding parameters. Usui’s contributions are particularly notable for bridging the gap between traditional welding techniques and modern artificial intelligence, enabling robots to autonomously detect and respond to dynamic process variations. His work has significant implications for high-precision manufacturing, reducing human error and improving weld quality in industries such as automotive and aerospace. By combining sensor feedback with neural network algorithms, Usui demonstrated a practical pathway toward intelligent automation, earning recognition as a key figure in the evolution of smart welding technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Measurement of Molten Pool Shape and Penetration Control Applying Neural Network in TIG Welding of Thin Steel Plates.
22 citations · 1999
📈 Most Prolific Year: 1999 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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