Kazufumi Kobayashi
Papers
2
Total Citations
15
H-Index
2
About
Kazufumi Kobayashi is a robotics researcher whose work focuses on automating retail environments through intelligent manipulation and perception systems. His primary research areas include dual-arm robotic work systems, instance segmentation, and pose estimation for real-world applications. Kobayashi’s most notable contribution is the development of a complete display and disposal work system for convenience stores using a dual-arm robot (2022), which has garnered 12 citations for its practical approach to automating shelf stocking and waste removal tasks. He has also advanced selective instance segmentation for pose estimation (2022, 3 citations), addressing the critical challenge of real-time robot movement in cluttered retail settings by reducing the computational burden of conventional segmentation methods. His work bridges the gap between computer vision and robotic manipulation, aiming to improve the efficiency and accuracy of automated stocking systems. Kobayashi’s research is particularly relevant for students and engineers interested in service robotics, computer vision, and the deployment of autonomous systems in unstructured commercial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Selective instance segmentation for pose estimation3 citations · 2022