Yuka Naito
Papers
1
Total Citations
10
H-Index
1
About
Yuka Naito is a pioneering researcher in the field of biomimetic microelectromechanical systems (MEMS) and neural network hardware integration. Her most cited work, "Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot" (2014), introduces a groundbreaking neural networks integrated circuit (NNIC) that serves as a driving waveform generator for a remarkably compact microrobot measuring just 4.0 mm by 2.7 mm by 2.5 mm. This silicon-wafer-fabricated device represents a significant advance in merging artificial neural network processing with microscale robotics, enabling more intelligent and autonomous movement in tiny, insect-inspired machines. With 10 citations, this foundational paper has influenced subsequent research in neuromorphic engineering and MEMS design. Naito’s work sits at the intersection of robotics, neural computation, and microfabrication, demonstrating how hardware-level neural networks can directly control physical systems at unprecedented scales. Her contributions open new possibilities for applications in medical devices, environmental monitoring, and swarm robotics, where small, intelligent, and energy-efficient microrobots are essential.
Research Focus
Key Achievements
Top Papers
- 1Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot10 citations · 2014