Takuya Okamoto

Kitami Institute of Technology, Saga University

Papers

Total Citations

H-Index

About

Takuya Okamoto is a leading researcher at the intersection of smart manufacturing and robotic process automation (RPA), with key contributions in cognitive computing and physical automation systems. His most influential work, "Preparing Datasets of Surface Roughness for Constructing Big Data from the Context of Smart Manufacturing and Cognitive Computing" (2021, 18 citations), pioneers the integration of human-cyber-physical systems with digital twins and IoT networks, weaving together CNC machine tools, robots, and enterprise systems to enable data-driven manufacturing intelligence. This foundational research establishes critical frameworks for leveraging big data in industrial contexts. Equally innovative is his work on "An Electroadhesive Paper Gripper With Application to a Document-Sorting Robot" (2022, 9 citations), which addresses a crucial gap in RPA by extending automation beyond computer-based processes into physical office tasks. This breakthrough demonstrates how real robots can automate tangible job processes, bridging the divide between digital and physical automation. Okamoto’s research is notable for its practical impact, offering scalable solutions for both manufacturing floors and office environments. His work continues to shape the future of smart manufacturing and physical RPA, with citations growing steadily as industries adopt his methodologies for cognitive computing and robotic integration.