T. Kawagishi

Papers

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About

T. Kawagishi is a robotics researcher specializing in acoustic-based self-localization for mobile robots, with a focus on low-cost, practical sensing solutions. Their major contribution lies in developing a self-localization method that uses acoustic beacons—specifically, sound sources with known positions and frequency bands—combined with a four-element microphone array and wheel rotation data. This approach, detailed in their most-cited 2015 paper (39 citations), enables robots to determine their position without expensive hardware, making autonomous navigation more accessible. Kawagishi further refined this technique by investigating phase-modulated M-sequence signals for acoustic beacons, analyzing how parameters like baud rate, carrier frequency, and sequence order affect direction-of-arrival estimation and localization accuracy. While their 2016 paper has garnered 2 citations, it demonstrates a systematic approach to optimizing signal design for robust performance. Kawagishi’s work is notable for bridging theoretical signal processing with real-world robotic applications, offering a cost-effective alternative to laser or vision-based localization. Their research is particularly relevant for students and engineers interested in sensor fusion, acoustic signal processing, and mobile robotics, highlighting how clever use of sound can solve fundamental navigation challenges.