Akira Sugawara
Papers
2
Total Citations
6
H-Index
2
About
Akira Sugawara’s research focuses on advanced control systems, particularly internal model control (IMC) and its applications in robotics. His major contributions lie in developing simplified IMC structures for sensorless grasping control, addressing the practical limitations of high-order controllers that arise from using inverse or approximate inverse systems. In his 2007 work, Sugawara proposed a novel controller scheme based on the IMC design structure, which laid the groundwork for state and disturbance estimation without direct sensing. His 2010 paper further refined this approach, introducing a simplified IMC scheme to enhance real-world applicability. While his citation counts (4 and 2, respectively) reflect a specialized niche, his work is notable for tackling a key challenge in robotics: enabling precise grasping control without relying on expensive or fragile sensors. This achievement has implications for cost-effective automation and robotic manipulation in unstructured environments. Sugawara’s research bridges theoretical control design and practical implementation, making it a valuable reference for students and researchers working on sensorless control, disturbance estimation, and IMC-based robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2