Daisuke Hagihara
Papers
2
Total Citations
3
H-Index
1
About
Daisuke Hagihara is a researcher whose work bridges precision engineering and advanced computer vision, with a focus on non-contact transportation systems and 3D object recognition. His early contributions include the development of a non-contact transportation system that combines ultrasonically induced acoustic viscous forces with aerostatic forces, addressing the challenges of handling increasingly large and heavy plane substrates and semiconductor wafers. This work, published in 2008, laid foundational insights for contactless handling in semiconductor manufacturing, though it has accrued 2 citations to date. More recently, Hagihara has ventured into the realm of 3D computer vision with his 2025 paper on "Pabsco," a parameterized B-rep-based surface correspondence estimation method for category-level 3D object matching. This method is designed to handle multi-part items, enabling accurate 6DoF pose and size estimation while reducing preparation costs—a critical advancement for real-world applications like robotic picking in logistics warehouses. With 1 citation so far, this work signals a promising direction for scalable, low-cost automation. Hagihara’s career reflects a transition from mechanical engineering solutions to computational approaches, demonstrating versatility and a commitment to solving practical industrial challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2