• 2018/3月

    情報処理学会 第79回全国大会

    ’17年3月,名古屋大学で行われた「情報処理学会 第79回全国大会」にて,Daniel Gabriel君の発表が「学生奨励賞」に選ばれました.
    Daniel Gabriel,小島諒介,干場功太郎(東工大),中臺一博(東工大/ホンダRIJ):”Iterative Outlier Removal Method Using In-Cluster Variance Changes in Multi-Microphone Array Sound Source Localization.”

  • 2018/3月

    情報処理学会 第80回全国大会

    ’18年3月,早稲田大学で行われた「情報処理学会 第80回全国大会」にて,高尾麻衣子さんの発表が「学生奨励賞」に選ばれました.


Our laboratory has been conducting researches mainly in Robot Audition and Environment Understanding since we started as Nakadai Laboratory in 2006.

In July 2017, we launched the next-generation AI robotics joint research laboratory with Honda Research Institute Japan Co., Ltd. (HRI-JP), and made a fresh start.


We are working on creating new fields that combine AI/Machine Learning, Robotics, Signal/Speech Processing in addition to core research in robot audition and scene analysis such as sound source localization, sound source separation, and automatic speech recognition.


For the benefits of joint research laboratory, we have a system that enables students who have been assigned to this laboratory to proceed in their researches not only in this university but also in HRI-JP. We operate our laboratory in cooperation with Imura Laboratory and Hayakawa Laboratory.

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