Michito OKADA
Papers
1
Total Citations
4
H-Index
1
About
Michito Okada is a robotics researcher whose work centers on the modeling, control, and parameter identification of underactuated mechanical systems—particularly the Acrobot, a classic two-link pendulum-like robot. His most cited paper, "Parameter Identification of the Acrobot Using the Unscented Kalman Filter" (2005), tackles the challenge of estimating unknown dynamic parameters—such as kinematic and viscous friction—in nonlinear robotic systems. While the paper has garnered 4 citations, its contribution lies in advancing beyond the traditional Extended Kalman Filter (EKF) approach, demonstrating that the Unscented Kalman Filter (UKF) can offer more accurate and robust parameter identification for underactuated robots. This work is foundational for researchers interested in nonlinear estimation, robot control, and system identification. Okada’s research is particularly valuable for students and engineers working on real-world applications where precise modeling of friction and dynamics is critical for stable control. His focus on underactuated systems places him at the intersection of control theory and practical robotics, offering insights that continue to inform adaptive control and state estimation in complex mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1