Noriyasu Homma
Papers
3
Total Citations
14
H-Index
3
About
Noriyasu Homma is a researcher whose work bridges the frontiers of adaptive control, robotics, and cognitive systems. His primary research areas include the design of intelligent controllers for complex dynamic systems and the integration of cognitive and neural principles into robotic applications. Homma’s major contribution is the introduction of the **Dynamic Pole Motion (DPM)** approach for designing error-based adaptive controllers (E-BAC), a novel method that simplifies the control of flexible robot arms and other challenging systems. This work, detailed in his most-cited paper (7 citations), addresses a fundamental challenge in adaptive control by enabling real-time system adjustments without requiring precise mathematical models. His additional publications on cognitive and neural aspects in robotics (4 and 3 citations) explore how insights from human cognition can enhance robotic performance, particularly in adaptive and learning-based tasks. While his citation counts reflect a focused, emerging impact, Homma’s innovative DPM concept has the potential to influence future developments in adaptive control and intelligent robotics. His work is especially valuable for students and researchers interested in the intersection of control theory, neural computation, and practical robotic design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cognitive and Neural Aspects in Robotics with Applications4 citations · 2010
- 3Cognitive and Neural Aspects in Robotics with Applications 20113 citations · 2012