Shotaro Nakamura
Papers
1
Total Citations
2
H-Index
1
About
Shotaro Nakamura is a robotics researcher specializing in bio-inspired control systems and human-machine interfaces. His primary research areas include myoelectric prosthetic control, electromyography (EMG)-based motion estimation, and robotic hand actuation. Nakamura’s major contribution lies in developing a hybrid motion estimator that integrates surface and deep muscle EMG signals to enable combined, naturalistic hand motions in robotic prosthetics. This work, detailed in his 2021 paper "Realization of Combined Motions by Robot Hand based on Surface and Deep Muscles' EMG," addresses a critical challenge in myoelectric control: the inability to smoothly transition between discrete gestures. By simultaneously recognizing hand motions and estimating joint angles from multi-layered muscle activity, his approach enhances the fluidity and responsiveness of prosthetic hands, potentially improving user experience for amputees. While his most-cited paper has garnered 2 citations—reflecting the early stage of this research—Nakamura’s focus on deep muscle EMG represents a novel direction in the field. His work stands out for its emphasis on combining anatomical fidelity with practical control algorithms, offering a pathway toward more intuitive and dexterous robotic hands.
Research Focus
Key Achievements
Top Papers
- 1