Thomas Forgue

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Thomas Forgue is a researcher whose work lies at the intersection of audio signal processing, robotics, and stochastic control, with a primary focus on active binaural localization. His key contributions center on overcoming fundamental limitations of passive hearing systems—such as front-back confusion and the inability to gauge distance—by integrating motor commands with sensed audio signals. Forgue’s most cited paper, "An information based feedback control for audio-motor binaural localization" (2017, 11 citations), introduces a novel framework that uses stochastic filtering and information-theoretic feedback to guide sensor movement, enabling more accurate and robust sound source localization. His earlier work, "A one-step-ahead information-based feedback control for binaural active localization" (2016, 2 citations), laid the groundwork for this approach by formalizing how real-time sensory-motor coordination can resolve spatial ambiguities. Though his citation counts are modest, Forgue’s research is notable for its innovative fusion of control theory and auditory perception, offering practical pathways for autonomous systems to navigate and interact with their environments using sound alone—a critical capability for applications in hearing aids, robotics, and virtual reality.