Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Understanding intelligence
Robotics Research: The 1st International Symposium
Robotics Research: The 1st International Symposium
Body movement analysis of human-robot interaction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Learning situation models in a smart home
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Self-adaptation in intelligent formation behaviors of multiple robots based on fuzzy control
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Topological environment reconstruction in informationally structured space for pocket robot partners
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
A Fuzzy Qualitative Framework for Connecting Robot Qualitative and Quantitative Representations
IEEE Transactions on Fuzzy Systems
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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.