Kodai Yamamoto
Papers
1
Total Citations
6
H-Index
1
About
Kodai Yamamoto is a researcher advancing precision motion control and sensor systems for high-performance servomotors, with key contributions in magnetic absolute encoders and feedback correction techniques. His most cited work, "Evaluation of Magnetic Absolute Encoder Using an Eccentric Structure with Feedback Correction" (2018, 6 citations), addresses critical challenges in downsizing and improving accuracy for robotics, automotive, and medical applications. By developing an eccentric structure with feedback correction, Yamamoto enables servomotors to achieve higher functionality and precision despite size constraints—a pressing need as industries demand compact, high-accuracy actuators. His research bridges the gap between theoretical sensor design and practical motor control, offering solutions that enhance reliability in position sensing. Though early in his career, Yamamoto’s focus on encoder innovation and correction algorithms positions him as a contributor to next-generation motion systems, where miniaturization and accuracy are paramount. His work is particularly relevant for engineers developing advanced robotics and precision automation, highlighting his potential to shape future servomotor technologies.
Research Focus
Key Achievements
Top Papers
- 1