Y. Konishi
Papers
5
Total Citations
42
H-Index
3
About
Y. Konishi is a pioneering researcher in robotics and control systems, with key contributions spanning underactuated robot control, machine learning-based control methods, and medical robotics. Their most influential work addresses the challenging problem of parameter identification and swing-up control for the Acrobot—a 2-link underactuated acrobatic robot—using the unscented Kalman filter (UKF), a paper that has garnered 16 citations. Konishi also advanced lazy learning control by integrating support vector regression for position control, earning 13 citations. In the medical domain, they developed a master-slave manipulation system with force-feedback for endoscopic surgery, a notable achievement with 9 citations that demonstrates the practical impact of their work in surgical robotics. Earlier foundational research on the dynamics and trajectory generation of five-bar-link parallel direct-drive robots, though less cited, laid groundwork for high-precision manipulation. Konishi’s work bridges theoretical control methods and real-world applications, making significant strides in robot dynamics, nonlinear control, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Parameter Identification and Swing-up Control of an Acrobot System16 citations · 2006
- 2A lazy learning control method using support vector regression13 citations · 2007
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- 5Dynamics of the Five-Bar-Link Parallel Direct-Drive Robot Manipulator2 citations · 1986