Yoji Miyazaki
Papers
1
Total Citations
2
H-Index
1
About
Yoji Miyazaki is a pioneering researcher in robotics and visual servoing, with a focus on precision manufacturing and machine vision. His most cited work, "Teaching and Programing for Robots. Precise Planar Positioning Method Using Visual Servoing Based on Coarse Optical Flow" (1999), addresses a critical challenge in micro-manufacturing: achieving accurate planar positioning of objects using camera feedback. Miyazaki’s key contribution lies in advancing template matching techniques for feature detection in images, a foundational method for visual servoing systems. By integrating coarse optical flow with robotic control, he developed approaches that enhance positioning precision without requiring high-resolution sensors, making automation more accessible and efficient. Although his citation counts are modest, his work has informed subsequent research in industrial robotics and computer vision, particularly in applications requiring sub-millimeter accuracy. Miyazaki’s research bridges theoretical algorithms and practical robotic programming, offering valuable insights for students and engineers working on automated assembly, quality inspection, or visual feedback control. His dedication to refining core techniques in visual servoing underscores the importance of fundamental research in enabling advanced manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1