Hiroki Sasamoto

Papers

Total Citations

H-Index

About

Hiroki Sasamoto is a robotics and automation researcher whose work centers on the development of intelligent mobile systems for advanced manufacturing environments. His primary research area is the design and control of Automated Guided Vehicles (AGVs) for smart factories, with a focus on creating efficient, autonomous material transport solutions. His most cited work, "Modeling and Prototype Implementation of an Automated Guided Vehicle for Smart Factories" (2021, 7 citations), provides a comprehensive framework for AGV development, from mathematical modeling of differential-drive kinematics to full prototype implementation and mechanical characterization. This contribution is notable for bridging theoretical control models with practical, real-world deployment in Industry 4.0 settings. Sasamoto’s research addresses critical challenges in factory automation, including path planning, sensor integration, and robust navigation. While his citation count is still growing, his work represents an important step toward scalable, flexible manufacturing systems. For students and researchers interested in mobile robotics, industrial automation, or the practical application of control theory, Sasamoto’s integrated approach—combining modeling, prototyping, and testing—offers a valuable template for translating academic concepts into functional industrial solutions.