Hiroaki Miura

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About

Hiroaki Miura is a leading researcher in robot audition and acoustic signal processing, with a particular focus on enabling robots to hear and interpret sound in dynamic, real-world environments. His key contributions lie in developing methods for online calibration of microphone arrays, addressing the critical challenge of asynchronous microphones that plagues conventional robot hearing systems. Miura’s most cited work, "SLAM-based online calibration of asynchronous microphone array for robot audition" (2011, 30 citations), pioneered the use of simultaneous localization and mapping (SLAM) techniques to calibrate microphone positions without requiring extensive transfer function measurements or multi-channel A/D converters. This breakthrough allows robots to adapt their hearing capabilities on the fly, significantly improving sound source localization and separation in noisy, unstructured settings. By eliminating the need for pre-calibrated hardware, Miura’s research has made robot audition more practical and scalable, impacting fields from human-robot interaction to autonomous navigation. His work continues to inspire advances in acoustic SLAM and sensor array processing, earning recognition for bridging robotics and signal processing.