Masakazu Fujimoto
Papers
2
Total Citations
2
H-Index
1
About
Masakazu Fujimoto is a researcher focused on advancing robotic manipulation for precision manufacturing, particularly in the finishing processes of cast metal parts. His work centers on the automation of deburring and removal of convex surface defects—such as burrs and flash—that commonly arise during casting. Fujimoto’s major contributions lie in developing feedback control systems that integrate tool tip reaction force and position sensing, enabling robots to adaptively handle unknown-shape convex parts with high accuracy. His 2021 paper on flexible tool manipulation for removal processing, and his 2025 study on precision-enhanced deburring using machining force feedback, each have garnered 1 citation, reflecting early-stage but foundational impact in this niche field. By addressing the challenge of automating a traditionally manual, skill-dependent task, Fujimoto’s work promises to improve product functionality, aesthetics, and manufacturing efficiency. His research is particularly relevant for industries relying on casting, where consistent defect removal is critical. For students and researchers in robotics and manufacturing, Fujimoto’s approach offers a compelling pathway toward intelligent, force-aware automation in surface finishing.
Research Focus
Key Achievements
Top Papers
- 1
- 2