Kouhei Itou
Papers
1
Total Citations
2
H-Index
1
About
Kouhei Itou is a researcher in control systems engineering, with a focus on advanced methodologies for sensorless robotic manipulation. His key contributions lie in the development of simplified internal model control (IMC) strategies, particularly applied to grasping tasks where tactile feedback is unavailable. In his most-cited work, "Simplified Internal Model Control and its Applications to Sensorless Grasping Control" (2010), Itou addresses a critical practical challenge: the high-order controllers arising from conventional IMC designs, which are often impractical for real-world implementation. By proposing a streamlined approach using inverse or approximate inverse systems, he enables more feasible, lower-order controllers without sacrificing performance. This work has garnered 2 citations, reflecting its niche but targeted impact on control theory and robotics. Itou’s research bridges theoretical control design and practical robotic applications, offering solutions that enhance the reliability and simplicity of sensorless systems. His achievements underscore a commitment to making advanced control techniques accessible for real-time, hardware-constrained environments—a valuable contribution for students and engineers working on autonomous manipulation and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1