Yasuhito Sano
Papers
2
Total Citations
5
H-Index
2
About
Yasuhito Sano is a researcher at the intersection of neuroethology and robotics, specializing in bio-inspired navigation and collision avoidance systems. His work focuses on understanding how insects, particularly crickets, use simple neural mechanisms to detect and avoid moving objects in dynamic environments—knowledge he translates into autonomous robotic systems. Sano’s major contributions include the development of a closed-loop locomotion analyzer that replicates insect collision avoidance behaviors, enabling rigorous testing of these strategies for mobile robots and vehicles. His research on target selection mechanisms, inspired by crickets’ antennal tracking, provides a blueprint for efficient, low-processing navigation in robots. Though his most-cited papers have modest citation counts (3 and 2 respectively), their impact lies in bridging fundamental insect neuroscience with practical engineering applications. Sano’s work is notable for its emphasis on context-dependent behavior, demonstrating how simple biological systems can inspire robust, real-time solutions for autonomous navigation—a promising avenue for students and researchers in robotics, bionics, and computational neuroscience.
Research Focus
Key Achievements
Top Papers
- 1
- 2