Chiharu Sugimoto

Yokohama National University, Nippon Steel (Japan)

Papers

Total Citations

H-Index

About

Chiharu Sugimoto is a pioneering researcher in robotic additive manufacturing and intelligent automation, with a focus on block-based 3D printing and granular material handling. Their major contribution lies in developing a novel "Block Printing System" that uses industrial manipulators to automatically assemble toy blocks into 3D structures from CAD models, bridging the gap between digital design and physical construction. This work, detailed in their 2017 and 2020 papers, introduces automated assembly planning and multi-function capabilities for diverse model creation, earning 5 cumulative citations. Most recently, Sugimoto has advanced into deep learning-driven robotics, as shown in their 2025 study on ROS2-based systems for quantitative granular food handling, using regression coefficient estimation models to achieve precise manipulation. This interdisciplinary approach—combining robotics, additive manufacturing, and machine learning—positions Sugimoto as an innovator in accessible, automated fabrication. Their work not only demonstrates practical applications in education and prototyping but also pushes the boundaries of how robots can interact with non-standard materials, offering valuable insights for students and researchers in automation and intelligent systems.