Takahiro Kosaki
Papers
11
Total Citations
126
H-Index
5
About
Takahiro Kosaki is a robotics and control systems researcher whose work spans intelligent control, wearable assistive devices, and robotic vision. His most influential contributions lie in the domain of nonlinear control for articulated vehicles, where his pioneering fuzzy modeling and Linear Matrix Inequality (LMI)-based approaches to the notoriously difficult problem of backing control for mobile robots with multiple trailers earned him widespread recognition — his 1998 paper on this topic has accumulated 74 citations and remains a foundational reference in the field. Building on this early theoretical groundwork, Kosaki extended his expertise toward human-centered robotics, developing pneumatic and water-hydraulic power-assist exoskeletons for elbow joint support, with innovations in EMG- and mechanomyogram-based muscle activity detection that enable safe, responsive assistive control. His research into pneumatic artificial muscles further encompasses networked just-in-time control strategies and parallel-link robotic platforms with variable inclination mechanisms. More recently, Kosaki has explored deep learning applications in robot vision, investigating convolutional neural network-based pose estimation for omnidirectional cameras. Across more than two decades of research, his work consistently bridges rigorous control theory with practical rehabilitation and assistive robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Fuzzy Backward Movement Control of a Mobile Robot with Two Trailers7 citations · 1997
- 4
- 5
- 6
- 7
- 8
- 9Fuzzy Control of an Articulated Vehicle and its Stability Analysis3 citations · 1996
- 10