Tatsuya Ishimaru
Papers
1
Total Citations
10
H-Index
1
About
Tatsuya Ishimaru is a researcher whose work lies at the intersection of soft robotics and intelligent sensing, with a particular focus on tactile sensor development for legged locomotion. His key contributions center on the design and fabrication of flexible, arrayed tactile sensors using MEMS technology and silicone rubber, enabling robots to detect contact forces with greater precision and safety. His most-cited paper, "Proposal and Development of Arrayed Sole Sensor for Legged Robot and Contact Force Detection Using Neural Networks" (2011), has garnered 10 citations and represents a foundational effort in integrating neural network-based force detection with soft sensor arrays. This work addresses a critical challenge in multilegged walking robots: achieving stable, adaptive gait through real-time tactile feedback. Ishimaru’s approach—combining flexible MEMS sensors with machine learning—has influenced subsequent research in soft haptics and robot-environment interaction. While his citation count remains modest, his early adoption of neural networks for sensor interpretation marks a notable achievement, anticipating later trends in intelligent tactile systems. For students and researchers, Ishimaru’s work offers a compelling example of how cross-disciplinary methods can solve practical robotics problems, bridging materials science, sensor engineering, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1