Tatsuya Iisaka

Papers

Total Citations

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About

Tatsuya Iisaka’s pioneering work lies at the intersection of intelligent control systems and automated welding, with a core focus on enhancing the precision and reliability of robotic arc welding. His research addresses a critical challenge in manufacturing: maintaining consistent weld quality despite external disturbances, such as irregular groove changes. Iisaka’s major contributions include the development of neuro-fuzzy control systems for weld pool depth regulation and seam tracking in pulsed MIG welding. By integrating neural networks for sensing and fuzzy logic for adaptive control, he created robust methods that allow welding robots to autonomously adjust torch posture and penetration depth in real time. His most cited paper, “Neuro-Fuzzy Control of Weld Pool in Pulsed MIG Welding” (1994, 10 citations), established a foundational approach for intelligent welding automation. Subsequent works, including “Sensing of the weld pool depth with neural network and fuzzy control of seam tracking” (2002, 3 citations), further advanced these techniques. Though his citation counts are modest, Iisaka’s research represents an early and influential step toward autonomous, high-quality robotic welding, laying groundwork for modern smart manufacturing systems.