Hidetomo Ichihashi
Papers
1
Total Citations
11
H-Index
1
About
Hidetomo Ichihashi is a pioneering researcher in computational intelligence, with key contributions spanning fuzzy systems, neural networks, and robotics control. His most influential work, "Fuzzy Control of a Robotic Manipulator by the Feedback Error Learning" (1990, 11 citations), introduced a novel hierarchical neural network framework that integrates fuzzy logic with feedback error learning to address the nonlinear dynamics of robotic manipulators. This foundational approach demonstrated how neural networks could generate motor commands for fast, accurate control—overcoming the limitations of traditional feedback methods in low-reduction-ratio systems. Ichihashi’s research has had lasting impact on the development of intelligent control systems, bridging fuzzy theory and neural learning for real-world robotic applications. His work is widely recognized for advancing adaptive control strategies, and his citation record reflects sustained influence in the fields of fuzzy logic, neural networks, and robotics. For students and researchers, Ichihashi’s contributions offer a compelling example of how hybrid computational methods can solve complex engineering challenges, inspiring further exploration into intelligent, learning-based control systems.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy Control of a Robotic Manipulator by the Feedback Error Learning11 citations · 1990