تقرير
The Un-Kidnappable Robot: Acoustic Localization of Sneaking People
| العنوان: | The Un-Kidnappable Robot: Acoustic Localization of Sneaking People |
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| المؤلفون: | Yang, Mengyu, Grady, Patrick, Brahmbhatt, Samarth, Vasudevan, Arun Balajee, Kemp, Charles C., Hays, James |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Robotics, Computer Science - Machine Learning |
| الوصف: | 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 implement our method on a robot, allowing it to track a single person moving quietly with only passive audio sensing. For demonstration videos, see our project page: https://sites.google.com/view/unkidnappable-robot Comment: ICRA 2024 camera ready |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2310.03743 |
| رقم الأكسشن: | edsarx.2310.03743 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |