• News Views Podcast Learn team about contribute republish AIhub resources AIhub events News Views Podcast Learn News Views Podcast Learn Robot Talk Episode 139 - Advanced robot hearing, with Christine Evers Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound. • Christine Eversis an Associate Professor in Computer Science and Director of the Centre for Robotics at the University of Southampton. • Her research pushes the boundaries of machine listening, enabling robots to make sense of life in sound. • Her current focus is embedding our understanding of the human auditory process into deep-learning audio architectures. • This bio-inspired approach moves away from massive, internet-scale models toward compute-efficient and inherently interpretable systems - opening the door to a new generation of embodied auditory intelligence. • Related posts : Robot Talk Episode 145 - Robotics and automation in manufacturing, with Agata Suwala Reversible, detachable robotic hand redefines dexterity “Robot, make me a chair” Robot Talk Episode 144 - Robot trust in humans, with Samuele Vinanzi How can robots acquire skills through interactions with the physical world?
Article Summaries:
- Robot Talk Episode 139 - Advanced Robot Hearing
In this episode, host Claire interviews Christine Evers, Associate Professor of Computer Science and Director of the Centre for Robotics at the University of Southampton. Evers discusses her work on machine listening, which enables robots to interpret their surroundings through sound. She explains how her research incorporates human auditory mechanisms into deep‑learning audio models, moving away from large, internet‑scale architectures toward smaller, more efficient, and interpretable systems. This bio‑inspired approach aims to create a new generation of embodied auditory intelligence, allowing robots to understand and respond to the acoustic world with greater precision and lower computational cost.
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