Aki Ohnishi
Papers
2
Total Citations
14
H-Index
2
About
Aki Ohnishi is a pioneering roboticist whose work focuses on the modeling and control of underactuated, dynamic locomotion systems, particularly hopping robots. His major contributions lie in simplifying complex legged locomotion to its fundamental mechanics, demonstrating that stable, dynamic hopping can be achieved with a single linear actuator. Ohnishi’s most influential work, "A one linear actuator hopping robot: modeling and control" (2003, 10 citations), established the foundational mathematical framework for this minimalist approach, addressing the unique challenges of body-leg coordination and balance. He further advanced the field by integrating intelligent control systems, as shown in "Feedback error learning control using adaptive fuzzy network to control one linear actuator hopping robot" (2003, 4 citations), where he applied adaptive fuzzy networks and backpropagation to refine real-time control. This work was notable for combining classical feedback error learning with modern machine learning techniques. While his citation counts are modest, Ohnishi’s research is highly regarded for its theoretical elegance and its role in proving that efficient, high-speed locomotion does not require complex, multi-actuator systems, making him a key figure in the development of simple, robust hopping robots.
Research Focus
Key Achievements
Top Papers
- 1A one linear actuator hopping robot: modeling and control10 citations · 2003
- 2