システム制御情報学会論文誌
論文
自己位置と場所概念の同時推定に関する研究
谷口 彰吉崎 陽紀稲邑 哲也谷口 忠大
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27 巻 (2014) 4 号 p. 166-177

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In this paper, we propose a novel learning method which can estimate self-location of a robot and concepts of location simultaneously. A robot performs a probabilistic self-localization from sensor data. We integrate ambiguous speech recognition results with the model for self-localization on Bayesian approach. Experimental results show that a robot can obtain words for several locations and make use of them in self-localization task. In addition, we evaluate the performance of lexical acquisition task about words for places and show its effectiveness.

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© 2014 システム制御情報学会
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