Abstract
This paper discusses the style of information service by robot partners. In order to perform information service suitable to each person, the robot partner should extract the preference and daily behavior patterns of the person. Therefore, we propose a learning method of the relationship between human interaction and its corresponding behavior of the robot partner. In this paper, we use a robot music player; miuro, and we focus on the music selection for providing the comfortable sound field for the person. The experimental results show that the proposed method can learn the relationship between human interaction and its corresponding behavior, and that the proposed method can provide the person with the preferable song as the comfortable sound field. Furthermore, we show the seamless sharing of information between different types of robot partners.
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Yaguchi, A., Kubota, N. (2010). The Style of Information Service by Robot Partners. In: Liu, H., Ding, H., Xiong, Z., Zhu, X. (eds) Intelligent Robotics and Applications. ICIRA 2010. Lecture Notes in Computer Science(), vol 6425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16587-0_49
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DOI: https://doi.org/10.1007/978-3-642-16587-0_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16586-3
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