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J-GLOBAL ID：201801006174978189   Update date: Jul. 16, 2024

Matsubara Takamitsu

Matsubara Takamitsu
Affiliation and department：
Nara Institute of Science and Technology

About Nara Institute of Science and Technology


Research field  (1)： Intelligent robotics
Research keywords  (3)： Reinforcement Learning ,  Machine Learning ,  Intelligent robots
Research theme for competitive and other funds  (11)：
  • 2021 - 2024 Development of Motion Generation Technology to Realize Robots that Perform Various Tasks according to Natural Language Instructions
  • 2021 - 2024 安全性と信頼性を備えたロボット強化学習の技術基盤の創出
  • 2019 - 2023 マルチモーダルタッチケアロボットの開発と心理学的検証
  • 2016 - 2019 Model-based Reinforcement Learning of Assistive Strategies for Physically-assistive Robots
  • 2015 - 2018 State estimation by irregular rate sampling and real-time system identification of filter-bank-interpolation type
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Papers (136)：
  • Takanori Jin, Taisuke Kobayashi, Takamitsu Matsubara. Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking. Advanced Robotics. 2024. 38. 8. 525-545
  • Naoto Komeno, Takamitsu Matsubara. Incipient Slip Detection by Vibration Injection Into Soft Sensor. IEEE Robotics and Automation Letters. 2024
  • Kenta HANADA, Kakeru FUJIKURA, Takashi AZUMA, Takamitsu MATSUBARA, Kenji SUGIMOTO. 拡張モデル予測制御とスライディングイノベーションフィルタによる水中ドローンのロバスト制御. Transactions of the Society of Instrument and Control Engineers. 2024. 60. 3. 268-279
  • Hanbit Oh, Takamitsu Matsubara. Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks. IEEE Robotics and Automation Letters. 2024
  • Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara. Reinforcement Learning of Action and Query Policies With LTL Instructions Under Uncertain Event Detector. IEEE Robotics and Automation Letters. 2023
ｍore...
MISC (136)：
  • 岡田颯太, 小林泰介, 小林泰介, 松原崇充. Pneumatic Artificial Muscle Control Robust to Hysteresis and Individual Differences by Recurrent Distributed Reinforcement Learning. 自律分散システム・シンポジウム(CD-ROM). 2023. 35th
  • 神孝典, 神孝典, 小林泰介, 小林泰介, 松原崇充. Footstep Planning Using Learning-Based MPC in Limit-Cycle-Based Walking. 日本機械学会ロボティクス・メカトロニクス講演会講演論文集(CD-ROM). 2023. 2023
  • 高橋慶一郎, 小林泰介, 小林泰介, 松原崇充. フェヒナーの法則に従う強化学習則の挙動解析. 日本ロボット学会学術講演会予稿集(CD-ROM). 2022. 40th
  • 神孝典, 小林泰介, 小林泰介, 松原崇充. リミットサイクル型歩行における長期予測精度の検証. 日本ロボット学会学術講演会予稿集(CD-ROM). 2022. 40th
  • 米澤壮太郎, 小林泰介, 小林泰介, 松原崇充. Reinforcement Learning with Consideration of Experience Reachability by Current Policy. 計測自動制御学会システムインテグレーション部門講演会(CD-ROM). 2022. 23rd
ｍore...
Education (3)：
  • 2005 - 2007 Nara Institute of Science and Technology
  • 2003 - 2005 Nara Institute of Science and Technology
  • 2001 - 2003 Osaka Prefecture University
Professional career (1)：
  • 博士(工学) (奈良先端科学技術大学院大学)
Work history (12)：
  • 2022/04 - 現在 Nara Institute of Science and Technology Professor
  • 2016/10 - 現在 The National Institute of Advanced Industrial Science and Technology (AIST)
  • 2008/04 - 現在 ATR Visiting Reseacher
  • 2019/01 - 2022/03 文部科学省 H30年度 卓越研究員
  • 2019/01 - 2022/03 Nara Institute of Science and Technology Associate Professor
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Awards (13)：
  • 2023/05 - Nikkan Kogyo Shimbun Japan Industrial Technology Award, Prime Minister's Award Autonomous Plant Control AI FKDPP
  • 2019/01 - JAFOE 2018 Best Speakers Award
  • 2018/10 - 日本神経回路学会 論文賞
  • 2017/10 - Robotics and Autonomous Systems Outstanding Reviewer
  • 2017 - IEEE ICIA GaiTech Best Paper in Robotics
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※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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