Taketoshi Iyota
Papers
9
Total Citations
76
H-Index
5
About
Taketoshi Iyota is a researcher specializing in indoor positioning systems, autonomous mobile robotics, and embedded hardware design. His most significant contributions lie in the development of spread spectrum (SS) ultrasonic wave-based localization technologies, which address the critical challenge of accurate self-positioning for autonomous mobile robots operating in GPS-denied indoor environments. His 2012 paper on indoor positioning using SS ultrasonic waves stands as his most influential work with 23 citations, establishing a foundation for subsequent investigations into Code Division Multiple Access (CDMA) techniques that enable multiple robots to simultaneously determine their 3D coordinates in real time. Iyota has also made notable contributions to image processing hardware, particularly through his vector code correlation method for high-speed template matching, which enhances robot vision applications. Beyond positioning, his work extends to practical robotic infrastructure, including innovative battery support systems designed to sustain uninterrupted mobile robot operation. Collectively, his research addresses a coherent ecosystem of challenges — from precise localization to sustained autonomous operation — making his work highly relevant to researchers developing next-generation service robots and intelligent indoor navigation systems. His cumulative citation record reflects steady influence across robotics and embedded systems communities.
Research Focus
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Top Papers
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