Tsuyoshi Okita

Kyushu Institute of Technology, Hiroshima City University

Papers

Total Citations

H-Index

About

Tsuyoshi Okita is a researcher whose work bridges artificial intelligence, robotics, and nonlinear systems identification. His research spans activity recognition through eye gaze analysis, knowledge graph construction for robotic planning, and the modeling of complex mechanical systems with hysteresis and saturation characteristics. In his 2021 paper "Activity Knowledge Graph Recognition by Eye Gaze," Okita explores how eye-tracking data can identify distant objects in a user's field of view to support activity logging in smart homes and action planning in robots—a contribution that integrates cognitive sensing with knowledge representation. Earlier, his 2003 work on identifying nonlinear systems with hysteresis addressed critical challenges in mechatronics, where gears and wires introduce nonlinear behaviors in power transmission. While his citation counts are modest, Okita's work demonstrates a unique interdisciplinary approach, combining control theory with modern AI techniques. His research is particularly relevant for students and engineers interested in human-robot interaction, smart environments, and the practical challenges of modeling real-world mechanical systems.