Motoki Hirayama

Juki (Japan), Kawasaki Heavy Industries (Japan)

Papers

Total Citations

H-Index

About

Motoki Hirayama is a robotics researcher focused on advancing automation in complex, real-world manufacturing tasks—particularly in the garment and textile industry. His primary research areas include automatic sewing robot systems, trajectory tracking control, and task-level visual robot programming. Hirayama’s major contribution lies in improving the precision of robotic sewing for three-dimensional, curved-surface products—a notoriously difficult non-routine task still largely performed by human workers. In his most cited work (2018, 5 citations), he introduced a variable gain learning control method that significantly enhances trajectory tracking accuracy for automatic sewing robots, addressing a critical bottleneck in factory automation. Earlier, he contributed to the development of VIRTUE, a graphical robot programming system (2002, 2 citations) designed to make robot teaching accessible to low-skill users. Developed under a Japan Robot Association project, VIRTUE exemplifies his commitment to user-friendly automation tools. Though his citation counts are modest, Hirayama’s work tackles practical, high-impact challenges in manufacturing—bridging the gap between manual craftsmanship and intelligent robotic systems.