Yoshihiro Nakamura
Papers
3
Total Citations
50
H-Index
3
About
Yoshihiro Nakamura is a pioneering researcher in robotics, with a career spanning from foundational sensor design to modern autonomous systems. His key research areas include robot force sensor evaluation, autonomous navigation, and deep learning applications in robotics. Nakamura’s most influential contribution is his development of a rigorous framework for evaluating robot force sensor structures using singular value decomposition (SVD), first presented in his 1987 paper (25 citations) and further refined in 1990 (21 citations). This work established a mathematical standard for assessing sensor measurement error and structural performance, directly impacting the design of precision force sensors used in industrial and medical robotics. More recently, Nakamura has advanced autonomous driving technology, demonstrating a self-driving model car capable of executing complex three-point turn maneuvers using an improved LSTM model (2021, 4 citations). This work bridges classical control theory with modern machine learning, showcasing his adaptability and forward-thinking approach. With a career that combines rigorous analytical methods with practical implementation, Nakamura’s research continues to inspire students and engineers working at the intersection of sensor technology and intelligent robotics.
Research Focus
Key Achievements
Top Papers
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