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Sugimoto Norikazu  杉本 徳和

ORCIDConnect your ORCID iD *help
Researcher Number 80443836
Other IDs
Affiliation (Current) 2026: 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主幹研究技術員
Affiliation (based on the past Project Information) *help 2015 – 2017: 国立研究開発法人情報通信研究機構, 脳情報通信融合研究センター脳情報通信融合研究室, 研究員
2014: 独立行政法人情報通信研究機構, 脳情報通信融合研究センター脳情報通信融合研究室, 研究員
Review Section/Research Field
Principal Investigator
Intelligent robotics
Keywords
Principal Investigator
アバター / 関数データ解析 / 人工知能 / 機械学習 / 運動学習支援システム / ヒューマノイドロボット / 運動学習 / 転移学習 / 強化学習 / robotics / optimal control / reinforcement learning
  • Research Projects

    (2 results)
  • Research Products

    (2 results)
  •  他者の行動戦略を推定する階層型深層モジュール強化学習Principal Investigator

    • Principal Investigator
      杉本 徳和
    • Project Period (FY)
      2017 – 2020
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent robotics
    • Research Institution
      National Institute of Information and Communications Technology
  •  Enhancing human motor skills by using forward and backward reinforcement learningPrincipal Investigator

    • Principal Investigator
      Sugimoto Norikazu
    • Project Period (FY)
      2014 – 2016
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent robotics
    • Research Institution
      National Institute of Information and Communications Technology

All 2016

All Journal Article Book

  • [Book] これからの強化学習2016

    • Author(s)
      牧野貴樹, 澁谷長史, 白川真一, 浅田稔, 麻生英樹, 荒井幸代, 飯間等, 伊藤真, 大倉和博, 黒江康明, 杉本徳和, 坪井祐太, 銅谷賢治, 前田新一, 松井藤五郎, 南泰浩, 宮崎和光, 目黒豊美, 森村哲郎, 森本淳, 保田俊行, 吉本潤一郎
    • Total Pages
      320
    • Publisher
      森北出版
    • Data Source
      KAKENHI-PROJECT-26730141
  • [Journal Article] Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning2016

    • Author(s)
      N. Sugimoto, V. Tangkaratt, T. Wensveen, T. Zhao, M. Sugiyama, and J. Morimoto
    • Journal Title

      IEEE Robotics and Automation Magazine

      Volume: 23 Issue: 1 Pages: 96-105

    • DOI

      10.1109/mra.2015.2511681

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26730141

URL: 

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