Fumio Hasegawa

Papers

Total Citations

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About

Fumio Hasegawa is a robotics researcher whose work focuses on autonomous navigation and perception systems for service robots, particularly in healthcare and hospitality environments. His most significant contributions center on developing practical, real-time localization and obstacle detection techniques for indoor mobile robots. In his highly cited 2002 paper (24 citations), Hasegawa introduced novel correlation-based methods that allow robots to reliably determine their position and detect obstacles while navigating autonomously. This work laid the foundation for his subsequent development of a stereo vision system (2003) designed for position measurement and object recognition, specifically tailored for an autonomous food-tray-carrying robot operating in medical care facilities. His research addresses the critical challenge of enabling robots to accurately locate and recognize tables and trays in real-world clinical settings. While his citation counts reflect a focused, application-driven research trajectory rather than broad impact, Hasegawa's work represents an important early contribution to practical service robotics, demonstrating how computer vision and localization techniques can be effectively deployed in real healthcare environments to automate routine tasks.