Abstract
This paper presents a sound localization method designed for dealing with blind regions. The proposed approach mimics Human’s ability of guessing what is happening in the blind regions by using prior knowledge. A user study was conducted to demonstrate the usefulness of the proposed method for human-robot interaction in environments with blind regions. The subjects participated in a shoplifting scenario during which the shop clerk was a robot that has to rely on its hearing to monitor a blind region. The participants understood the enhanced capability of the robot and it favorably affected the rating of the robot using the proposed method.
This research was supported by JST CREST Grant Number JPMJCR17A2, Japan.
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Even, J., Satake, S., Kanda, T. (2019). Monitoring Blind Regions with Prior Knowledge Based Sound Localization. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_64
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DOI: https://doi.org/10.1007/978-3-030-35888-4_64
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