Papers
15
Total Citations
292
H-Index
8
About
Yoshihiko Kimuro is a pioneering researcher in intelligent robotics and ambient intelligence, whose work has fundamentally advanced how robots perceive and navigate human-centric environments. His primary research areas include robot self-localization, sensor networks, and informationally structured environments. Kimuro’s most influential contribution is his innovative use of RFID systems combined with support vector machines (SVM) for mobile robot localization, a method that eliminates the need for complex geometric measurements of RFID tags—his seminal 2005 paper on this topic has garnered 136 citations. He is also the driving force behind the Robot Town Project, a landmark initiative that created an intelligent environment where distributed vision sensors and RFID tags are networked to support autonomous robotic activities in daily human life. His work on integrating sensor data into online databases for real-time robot interaction has been widely recognized, with multiple papers accumulating over 100 combined citations. Kimuro’s research has established foundational frameworks for ambient intelligence, enabling robots to operate seamlessly in ordinary environments through structured sensor networks and machine learning approaches.
Research Focus
Key Achievements
Top Papers
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- 2A structured environment with sensor networks for intelligent robots37 citations · 2008
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- 9A vision system for detecting mobile robots in office environments6 citations · 2004
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