T. Enomoto

Papers

Total Citations

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About

T. Enomoto is a pioneering researcher in mobile robotics and acoustic sensing, specializing in sound source localization and human-robot interaction within domestic environments. His work centers on developing intelligent systems that enable robots to navigate and respond to voice commands in noisy, real-world settings. Enomoto’s major contributions include creating a particle filter-based method for building 2D sound source maps from a mobile robot’s directional readings, allowing robots to pinpoint sounds with Gaussian-modeled accuracy. He also advanced home robotics by integrating ceiling-mounted ultrasonic locators and microphone arrays, enabling robots to detect user calls and navigate to specific locations autonomously. His research on predefined command recognition in noisy housing environments further demonstrated robust speech detection using ceiling arrays, overcoming ambient noise challenges. With key papers accumulating over 30 citations, Enomoto’s work has laid foundational techniques for acoustic-based robot navigation and voice control, directly impacting the development of assistive home robots. His innovative use of ceiling sensors for sound localization remains a notable achievement, bridging the gap between acoustic signal processing and practical service robotics.