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About

Tadashi Ebihara is a researcher specializing in acoustic sensing, mobile robotics, and wireless network optimization, with particular expertise in developing innovative localization methods for autonomous systems operating in complex indoor and underwater environments. His most influential work focuses on using acoustic signals — rather than conventional optical or radio-frequency approaches — to achieve reliable position estimation for mobile robots. His 2018 paper on robust localization using acoustic beacons and iterative Bayesian filtering demonstrated how robots could determine their location in reverberant rooms without requiring direction-of-arrival detection, garnering five citations and establishing a foundation for subsequent research. Ebihara has further extended this acoustic localization paradigm to single-channel systems, exploiting impulse responses and the Doppler effect, reflecting a consistent drive toward hardware-efficient solutions. His 2014 work on mobile robotic access points introduced a creative intersection of robotics and wireless networking, showing his versatility beyond pure sensing research. More recently, he has tackled the formidable challenge of underwater robot positioning in multipath-heavy shallow coastal environments, demonstrating the growing scope of his contributions. Across his body of work, Ebihara consistently addresses real-world engineering constraints, making his research particularly valuable to practitioners building practical autonomous systems.