Kazuhisa Matsumoto
Papers
2
Total Citations
15
H-Index
2
About
Kazuhisa Matsumoto is a robotics researcher whose work focuses on automating retail operations through advanced robotic manipulation and computer vision. His primary research areas include dual-arm robotic systems, instance segmentation, and pose estimation for real-world applications. Matsumoto’s major contribution is the development of a complete work system for convenience stores using a dual-arm robot, which integrates object detection and pose estimation to automate shelf stocking and disposal tasks. His most cited paper, “Development of display and disposal work system for convenience stores using dual-arm robot” (2022, 12 citations), demonstrates a practical solution for retail automation. In related work, he addresses the challenge of real-time robot movement by proposing selective instance segmentation for pose estimation, reducing computational overhead while maintaining accuracy. Though his citation counts are modest, Matsumoto’s research is notable for its direct industrial applicability, bridging the gap between laboratory robotics and commercial retail environments. His achievements include creating a functional prototype that could significantly impact labor efficiency in convenience stores, making him a promising figure in applied robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Selective instance segmentation for pose estimation3 citations · 2022