Hiromi Okada
Papers
7
Total Citations
75
H-Index
4
About
Hiromi Okada is a researcher whose work centers on indoor positioning, localization technologies, and mobile robotics, with a particular focus on passive RFID (Radio Frequency Identification) systems. Working in an era when GPS limitations in indoor environments created significant navigation challenges, Okada dedicated his research to developing practical, cost-effective alternatives for precise spatial localization. His most influential contribution, "A new indoor position estimation method of RFID tags for continuous moving navigation systems" (2012, 28 citations), established innovative frameworks for seamless indoor navigation. This built upon his foundational multi-sensing-range methodology introduced in 2008 (25 citations), which remains a cornerstone technique for estimating passive RFID tag positions accurately and economically. Earlier work on adaptive likelihood distribution algorithms (2007) demonstrated his commitment to integrating RFID localization with autonomous mobile robotics. Across his publication record, Okada progressively advanced the field by extending positioning capabilities into three-dimensional space, improving communication range recognition schemes, and addressing real-world challenges such as obstacle prediction for mobile robot navigation. His research has collectively accumulated over 75 citations, reflecting meaningful influence on ubiquitous computing and assistive navigation technologies designed to support elderly and physically disabled individuals navigating indoor environments.
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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