Koki Kudo
Papers
1
Total Citations
3
H-Index
1
About
Koki Kudo is a researcher specializing in intelligent actuators and robotic systems, with a particular focus on Shape Memory Alloy (SMA) technologies. His work centers on the modeling and control of SMA actuators, addressing key challenges such as load disturbance adaptation and self-sensing capabilities. Kudo’s most cited paper, “Modeling and electrical-resistance feedback control of SMA actuators adapting to load disturbance” (2017, 3 citations), introduces a novel approach that leverages the inherent electrical resistance of Ti-Ni based SMA actuators for simultaneous self-sensing and displacement control. This contribution is significant for robotics, as it enhances the precision and adaptability of lightweight, flexible actuators without the need for external sensors. While his citation count is modest, Kudo’s research represents a foundational step toward more efficient and responsive robotic systems, particularly in applications requiring high power-to-weight ratios. His work is notable for bridging materials science and control engineering, offering practical solutions for real-world robotic actuation challenges.
Research Focus
Key Achievements
Top Papers
- 1