Rchr
J-GLOBAL ID:202001003626657325   Update date: Apr. 03, 2024

Kutsuzawa Kyo

クツザワ キョウ | Kutsuzawa Kyo
Affiliation and department:
Job title: Assistant Professor
Homepage URL  (1): https://kyo-kutsuzawa.github.io/
Research field  (3): Intelligent robotics ,  Intelligent robotics ,  Robotics and intelligent systems
Research keywords  (4): Motor learning ,  Synergy ,  Force-signal processing ,  Robotics
Research theme for competitive and other funds  (3):
  • 2022 - 2025 力覚情報に基づく複雑な道具形状と接触位置との効率的な同時推定
  • 2020 - 2022 Shared synergyを利用した高い汎化能力をもたらす模倣学習
  • 2018 - 2020 sequence-to-sequenceモデルを用いた臨機応変な物体操作
Papers (24):
  • 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
  • Wei Zhu, Xian Guo, Dai Owaki, Kyo Kutsuzawa, Mitsuhiro Hayashibe. A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots. IEEE Transactions on Neural Networks and Learning Systems. 2023. 34. 7. 3444-3459
  • Kyo Kutsuzawa, Mitsuhiro Hayashibe. Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures. IEEE Access. 2023. 11. 34150-34162
more...
MISC (4):
  • Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji. Assembly robots with optimized control stiffness through reinforcement learning. 2020
  • Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi. Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. 2019
  • Tsuji Toshiaki, Kutsuzawa Kyo, Sakaino Sho. Optimized Trajectory Generation based on Model Predictive Control for Turning Over Pancakes (メカトロニクス制御研究会・実世界ハプティクス). 電気学会研究会資料. MEC = The papers of Technical Meeting on "Mechatronics Control", IEE Japan. 2016. 2016. 2. 73-78
  • KUTSUZAWA Kyo, OHKUMA Jun, SAKAINO Sho, TSUJI Yoshiaki. 2P1-F07 A Control System to Actualize Drawing a Circle with a Compass. 2015. 2015. "2P1-F07(1)"-"2P1-F07(4)"
Lectures and oral presentations  (2):
  • ロボットの運動制御における深層学習の応用
    (トライボロジー技術へのAIの活用を考える研究会 2021)
  • ニューラルネットワークを用いた動作特徴量の学習とロボットへの応用
    (計測自動制御学会東北支部 2020)
Education (2):
  • 2018 - 2020 Saitama University Graduate School of Science and Engineering
  • Saitama University Graduate School of Science and Engineering
Professional career (1):
  • Doctor of Engineering (Saitama University)
Work history (2):
  • 2020/04 - 現在 Tohoku University Graduate School of Engineering Assistant professor
  • 2018/04 - 2020/03 日本学術振興会
Committee career (6):
  • 2023/06 - 現在 電気学会 産業応用部門 産業応用のためのデータ利活用制御に関する調査専門委員会 委員
  • 2023/04 - 現在 計測自動制御学会 代議員
  • 2022/07 - 現在 電気学会 論文委員会 委員(D2、D7グループ)
  • 2023/04 - 2025/03 計測自動制御学会 東北支部 庶務幹事
  • 2022/04 - 2024/03 日本ロボット学会 論文査読小委員会 委員
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Awards (8):
  • 2023/08 - 電気学会産業応用部門 論文査読促進賞
  • 2023/05 - 計測自動制御学会東北支部 優秀発表奨励賞 力覚信号に基づく粒子フィルタを用いた多数のパラメータで表現される道具形状の推定
  • 2021/09 - IEEJ Industrial Application Society IEEJ Industrial Application Society Excellent Presentation Award
  • 2020/10 - The Robotics Society of Japan Advanced Robotics Excellent Paper Award Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model
  • 2019/08 - IEEJ Industry Applications Society IEEJ Industrial Application Society Excellent Presentation Award Simultaneous Estimation of Contact Position and Tool Shape using Particle Filter
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Association Membership(s) (4):
IEEE ,  SICE ,  RSJ ,  IEEJ
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