Rchr
J-GLOBAL ID:200901059435037103   Update date: Feb. 02, 2024

Hayashibe Mitsuhiro

ハヤシベ ミツヒロ | Hayashibe Mitsuhiro
Affiliation and department:
Other affiliations (1):
Homepage URL  (1): http://neuro.mech.tohoku.ac.jp/
Research field  (5): Soft computing ,  Intelligent informatics ,  Intelligent robotics ,  Mechanics and mechatronics ,  Robotics and intelligent systems
Research keywords  (5): Neuro-Computing ,  Human Informatics ,  Motor Learning ,  Robotics ,  知能機械学・機械システム
Research theme for competitive and other funds  (10):
  • 2022 - 2024 筋シナジーの発現に向けた筋骨格モデルにおけるモジュラリティの運動学習
  • 2021 - 2023 人間の環境適応学習法の数理解析と検証による統一的理解
  • 2020 - 2022 深層強化学習における運動シナジー発現のメカニズムの解明
  • 2018 - 2021 Development of cybernetics technology based on decentralized control for paralysis treatment
  • 2018 - 2020 環境モデルや振動子モデルに依存しない環境適応学習による多様な運動の発現機序
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Papers (95):
  • Kenya Tada, Yuhei Sorimachi, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe. Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality. Sensors. 2024. 24. 2. 528-528
  • Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe. Latent Representation-Based Learning Controller for Pneumatic and Hydraulic Dual Actuation of Pressure-Driven Soft Actuators. Soft Robotics. 2023
  • Muhammad Hannan Ahmed, Kyo Kutsuzawa, Mitsuhiro Hayashibe. Transhumeral Arm Reaching Motion Prediction through Deep Reinforcement Learning-Based Synthetic Motion Cloning. Biomimetics. 2023. 8. 4. 367-367
  • Muhammad Hannan Ahmed, Jiazheng Chai, Shingo Shimoda, Mitsuhiro Hayashibe. Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion. Sensors. 2023. 23. 9. 4188-4188
  • Kyo Kutsuzawa, Mitsuhiro Hayashibe. Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures. IEEE Access. 2023. 11. 34150-34162
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MISC (93):
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Patents (4):
Books (1):
  • Data-Fusion Display System with Volume Rendering of Intraoperatively Scanned CT Images
    Lecture Notes in Computer Science (Medical Image Computing and Computer-Assisted Intervention 2005) 2005
Education (5):
  • 2015 - 現在 モンペリエ大学 Habilitation degree(HDR)
  • 2005 - 2005 The University of Tokyo
  • 1999 - 2001 The University of Tokyo
  • - 2001 The University of Tokyo Graduate School, Division of Engineering
  • 1995 - 1999 Tokyo Institute of Technology School of Engineering Dept. of Mechano-Aerospace Engineering
Professional career (2):
  • Ph.D. (The University of Tokyo)
  • Habilitation (Univ. of Montpellier)
Work history (6):
  • 2017/04 - 現在 東北大学大学院 工学研究科および医工学研究科 教授
  • 2012/01 - 2017/03 フランス国立情報学研究所 モンペリエ大学 常勤研究員CR1st クラス
  • 2016/08 - 2016/10 スイス連邦工科大学ローザンヌ校 EPFL 客員研究員
  • 2008/09 - 2011/12 フランス国立情報学研究所 モンペリエ大学 常勤研究員CR2nd クラス
  • 2007/01 - 2008/08 フランス国立情報学研究所 博士研究員
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Awards (5):
  • 2019/03 - Japan, Toyota Riken Scholar
  • 2017/11 - USA, De Luca Foundation, Delsys Prize (First Japanese Recipient)
  • 2016/08 - Switzerland, EPFL Swiss National Science Foundation fellowship
  • 2005 - CAS Young Investigator Award, Gold Prize (日立メディコゴールド賞)
  • 2005 - CAS Young Investigator Award, Gold Prize (Hitachi Medical Systems Award)
Association Membership(s) (2):
IEEE ,  THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS
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