Kouichi Mutsuura
Papers
7
Total Citations
75
H-Index
4
About
Kouichi Mutsuura is a researcher specializing in indoor localization, RFID-based positioning systems, and mobile robotics navigation. His work addresses a fundamental challenge in computing: accurately determining the position of objects and people in indoor environments where GPS signals are unavailable. Over more than a decade of sustained research, Mutsuura has developed a series of increasingly sophisticated methods for estimating the location of passive RFID tags, progressing from foundational two-dimensional approaches to advanced three-dimensional localization algorithms. His most influential contribution, a 2012 paper on continuous moving navigation systems (28 citations), introduced novel estimation techniques that enable seamless indoor navigation using RFID infrastructure. Closely related is his widely cited Multi-Sensing-Range method (25 citations), which leverages variable detection ranges to improve positioning accuracy inexpensively. His 2007 work on adaptive likelihood distribution algorithms extended these concepts to autonomous mobile robotics, enabling robots to map and navigate environments intelligently. Later research addressed practical deployment challenges, including obstacle prediction and movement correction for mobile robots, demonstrating a consistent commitment to real-world applicability. Mutsuura's cumulative body of work, totaling over 75 citations, has meaningfully advanced the field of ubiquitous computing and assistive indoor navigation technology.
Research Focus
Key Achievements
Top Papers
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- 2A Multi-Sensing-Range Method for Position Estimation of Passive RFID Tags25 citations · 2008
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