Danilo Yugo Miyatake
Papers
2
Total Citations
18
H-Index
2
About
Danilo Yugo Miyatake is a researcher specializing in human-robot interaction (HRI) and optical fiber sensing technologies. His most significant contribution is the development of a glove-based optical fiber sensor designed to measure finger movements for HRI applications. This innovative device accurately detects angular displacements of finger joints, making it highly suitable for teleoperation and gesture-based robot navigation. Miyatake’s work bridges the gap between wearable sensor technology and intuitive robotic control, enabling more natural and efficient human-machine interfaces. His key papers on this topic have garnered 11 and 7 citations respectively, reflecting the growing interest in his approach to HRI. By creating a sensor that translates human gestures into robotic commands, Miyatake has advanced the field of teleoperation, offering practical solutions for remote manipulation and collaborative robotics. His research is particularly notable for its potential to enhance the safety and dexterity of robotic systems in industrial, medical, and assistive contexts. Miyatake’s contributions underscore the importance of integrating flexible, non-invasive sensors into robotic platforms, paving the way for more seamless human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2