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The Un-Kidnappable Robot: Acoustic Localization of Sneaking People
May 10, 2024, 4:42 a.m. | Mengyu Yang, Patrick Grady, Samarth Brahmbhatt, Arun Balajee Vasudevan, Charles C. Kemp, James Hays
cs.LG updates on arXiv.org arxiv.org
Abstract: How easy is it to sneak up on a robot? We examine whether we can detect people using only the incidental sounds they produce as they move, even when they try to be quiet. We collect a robotic dataset of high-quality 4-channel audio paired with 360 degree RGB data of people moving in different indoor settings. We train models that predict if there is a moving person nearby and their location using only audio. We …
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