Yuichi Noge

Tokyo University of Agriculture and Technology

Papers

Total Citations

H-Index

About

Yuichi Noge is a researcher specializing in nonlinear vibration control and smart material actuation for robotic systems. His work focuses on suppressing unwanted vibrations in lightweight, flexible robotic arms—a critical challenge as industry demands faster, lighter manipulators that inevitably sacrifice rigidity. Noge’s major contributions include developing operator-based nonlinear control frameworks that leverage shape memory alloys (SMAs) to actively dampen vibrations in flexible structures, as demonstrated in his most-cited paper, “An Operator-based Nonlinear Vibration Control System Using a Flexible Arm with Shape Memory Alloy” (2018, 17 citations). He has also explored bio-inspired control methods, such as using central pattern generators (CPGs) for nonlinear control of L-shaped arms (2020, 3 citations), aiming to improve precision in high-speed industrial tasks. While his citation counts reflect a growing niche, Noge’s work addresses a pressing trade-off in robotics: achieving both speed and accuracy through intelligent vibration suppression. His research bridges control theory, smart materials, and practical robotic design, offering pathways to more reliable, high-performance automation.