Naoki Kotani

写真a

Title

Associate Professor

Research Fields, Keywords

Artificial Intelligence, Machine Learning, Reinforcement Learning, Neural Netoworks, Robotics

Graduating School 【 display / non-display

  • Himeji Institute of Technology   Faculty of Engineering   JAPAN

Graduate School 【 display / non-display

  • University of Hyogo  Graduate School, Division of Engineering  Department of Mechanical Engineering  Master's Course  Completed  JAPAN

  • Osaka University  Graduate School, Division of Engineering  Division of Electrical, Electronic and Infocommunications Engineering  Doctor's Course  Completed  JAPAN

Committee Memberships 【 display / non-display

  • 2020.06
    -
    2022.05

     

Research field 【 display / non-display

  • Intelligent robotics

  • Intelligent informatics

 

Papers 【 display / non-display

  • Learning Acceleration Method for Reinforcement Learning Agents by Knowledge Selection Based on the State Value and the Number of State Observation

    Naoki Kotani  ( Single Author )

    Electronics and Communications in Japan   109 ( 1 ) 9 - 14   2026.03

    Research paper (scientific journal)  English

  • Pencil style transfer of digital illustrations using LIC and depth estimation

    Tomoya Uno, Naoki Kotani, Satoshi Sugikawa, Yuta Muraki  ( Multiple Authorship )

    Proc. SPIE 14072, International Workshop on Advanced Imaging Technology (IWAIT) 2026     2026.01

    Research paper (international conference proceedings)  English

  • An automatic photo selection and trimming for graduation albums

    Masashi Oda, Naoki Kotani, Satoshi Sugikawa, Yuta Muraki  ( Multiple Authorship )

    Proc. SPIE 14072, International Workshop on Advanced Imaging Technology (IWAIT) 2026     2026.01

    Research paper (international conference proceedings)  English

  • Automatic Photo Selection Method for Graduation Albums

    M. Oda, N. Kotani, S. Sugikawa and Y. Muraki  ( Multiple Authorship )

    2025 IEEE 14th Global Conference on Consumer Electronics (GCCE)     2025.09

    Research paper (international conference proceedings)  English

  • A Study on Transition Rates and Similarity for Transition Learning

    Satoshi Sugikawa, Naoki Kotani and Yuta Muraki  ( Multiple Authorship )

    SICE Festival 2025 with Annual Conference     2025.09

    Research paper (international conference proceedings)  English

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Research Grants and Projects 【 display / non-display

  • Project Year:2020.04  -  Now 

  • Project Year:2016.04  -  2020.03