Yuto Ikeda
Papers
1
Total Citations
3
H-Index
1
About
Yuto Ikeda is a researcher specializing in advanced motion control and mechatronics, with a particular focus on the design and control of robotic systems incorporating elastic elements. His key research areas include torsion torque estimation, backlash compensation, and high-performance force control for lightweight industrial and collaborative robots. Ikeda’s most notable contribution is the development of a torsion torque estimator that integrates a backlash model for load-side angle control systems. This work addresses the critical challenge of mechanical resonance in systems where low-rigidity components—such as springs or flexible joints—are placed between the motor, reduction gear, and load. By enabling accurate torque estimation despite nonlinearities like backlash, his estimator improves both the stability and force control precision of lightweight robotic arms. Although his most-cited paper (2022) has garnered 3 citations to date, its practical relevance to reducing robot weight while enhancing performance marks a meaningful step forward in the field. Ikeda’s research is particularly valuable for engineers seeking to design safer, more agile robots capable of delicate interaction tasks, and his work continues to influence developments in torque-sensorless control strategies.
Research Focus
Key Achievements
Top Papers
- 1