Laurent Girinz

Centre Inria de l'Université Grenoble Alpes

Papers

Total Citations

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About

Laurent Girinz is a researcher at the intersection of robotics and auditory perception, with a primary focus on enabling machines to understand and interact with their environments through sound. His most cited work, "Sound-event recognition with a companion humanoid" (2012, 28 citations), tackles the challenge of recognizing everyday sound events in indoor settings using consumer robots. Girinz’s key contribution lies in his application of the stabilized auditory image (SAI) representation, a spectro-temporal framework particularly effective for capturing pulse-resonance sounds—such as footsteps, door knocks, or object impacts—that are critical for context-aware robotics. By grounding his approach in a humanoid platform, he bridges computational audition and embodied AI, advancing the field of robot perception beyond vision alone. Though his citation count reflects a niche but growing area, his work has influenced subsequent studies in auditory scene analysis and human-robot interaction, notably by demonstrating how biologically inspired auditory models can be practically deployed in real-world robotic systems. Girinz’s research underscores the importance of multimodal sensing for companion robots, making him a notable figure in the development of more perceptive and responsive autonomous agents.