Yu Sugimoto
Papers
2
Total Citations
17
H-Index
2
About
Yu Sugimoto is a pioneering researcher in the field of industrial automation, with a focused expertise in the control systems of automatic pouring robots for metal casting. His major contributions lie in advancing liquid level and flow rate control for cylindrical ladle-type automatic pouring robots (APRs), addressing critical challenges in precision manufacturing. In his highly cited 2002 work, "LIQUID LEVEL CONTROL OF AUTOMATIC POURING ROBOT BY TWO-DEGREES-OF-FREEDOM CONTROL," which has garnered 15 citations, Sugimoto introduced a robust control strategy that significantly improved the stability and accuracy of molten metal pouring. Building on this, his 2004 paper applied the Betterment Process—a learning control method—to regulate pouring flow rates, demonstrating how iterative learning can refine industrial processes without complex modeling. While his citation counts reflect a niche but impactful research footprint, Sugimoto’s work is notable for bridging theoretical control engineering with practical foundry automation, offering solutions that enhance safety and efficiency in high-temperature environments. His achievements underscore a dedication to solving real-world manufacturing problems through innovative control methodologies.
Research Focus
Key Achievements
Top Papers
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- 2