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About

Yoav Ellinson is a researcher at the forefront of socially interactive robotics, with a focused expertise in human-robot communication and assistive technologies. His primary research areas encompass automatic speech recognition (ASR) for multi-lingual, real-world robotic applications and the deployment of socially pertinent robots in healthcare settings. Ellinson’s major contribution lies in bridging the gap between controlled ASR performance and the noisy, dynamic environments of social robots. His 2024 work created a novel dataset of brief conversational initiations across five European languages, specifically designed to evaluate ASR under the unique acoustic constraints of robot microphones and ambient noise—a critical step for enabling natural, multi-lingual human-robot interaction. Building on this, his 2025 research directly applies these insights to gerontological healthcare, exploring how socially aware robots can provide meaningful assistance to elderly populations. While early in his career, Ellinson’s work is already garnering attention, with his most-cited papers accumulating 3 and 2 citations respectively, signaling growing recognition in the field. His research promises to make robots not just functional, but truly communicative companions in sensitive, real-world contexts.