Yasuo Konishi
Papers
1
Total Citations
4
H-Index
1
About
Yasuo Konishi is a researcher whose work centers on robotics, control systems, and parameter identification, with a particular focus on underactuated mechanical systems. His major contributions lie in advancing methods for estimating dynamic parameters of complex robots, most notably through his work on the Acrobot—a two-link underactuated robot that serves as a classic benchmark in nonlinear control. In his most-cited paper, "Parameter Identification of the Acrobot Using the Unscented Kalman Filter" (2005), Konishi addressed the challenge of identifying kinematic and viscous friction parameters in such systems. While the Extended Kalman Filter (EKF) had been the standard approach, Konishi explored the Unscented Kalman Filter (UKF) as a more robust alternative, offering improved accuracy in nonlinear estimation. Though his citation count is modest at four, this work is notable for its practical relevance to robotics researchers seeking reliable identification techniques in the presence of friction and underactuation. Konishi’s research contributes to the broader field of adaptive control and system identification, providing foundational insights for students and engineers working on real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1