Sakaino Sho

Researcher's full information

Articles
  • 高次スライディングモード制御を用いたFESによるバイラテラル制御
    北村 知也; 水上 直人; 溝口 寛人; 境野 翔; 辻 俊明
    日本ロボット学会学術講演会予稿集, 2016-09
  • High dynamic range six-axis force / torque sensors for dexterous robots
    Tsuji Toshiaki; Okumura Daisuke; Tamura Ryuya; Sakaino Sho
    the 6th IEEJ international workshop on Sensing, Actuation, Motion Control, and Optimization, 2020-03
  • A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control
    Hayashi Kazuki; Sasagawa Ayumu; Sakaino Sho; Tsuji Toshiaki
    Proceedings of the 2021 IEEE International Conference on Mechatronics, 2021-03
  • 篏合タスクの位置誤差修正における力情報の識別
    運天 光; 境野 翔; 辻 俊明
    第39回日本ロボット学会学術講演会, 2021-09
  • 書き順と筆触を独立に学ぶ階層型CVAE
    會田 真広; 菅原 慶人; 境野 翔; 辻 俊明
    第39回日本ロボット学会学術講演会, 2021-09
  • バイラテラル制御に基づく模倣学習の多自由度ロボットアームへの拡張
    七種 勇樹; 境野 翔; 辻 俊明
    第39回日本ロボット学会学術講演会, 2021-09
  • Control of Metacarpophalangeal Joints Using Functional Electrical Stimulation
    川島 みなみ; 北村 知也; 浜名 竜大; 境野 翔
    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)/2021(0)/p.1P1-M07, 2021
  • ハプティクスに基づく模倣学習によるロボットの汎用物体操作
    境野 翔
    令和3年電気学会産業応用部門大会, 2021-08
  • 模倣学習を用いた高速汎用物体操作
    境野 翔
    機械設計 = Machine design/66(5)/pp.6-10, 2022-04
  • 高速かつ汎用的な物体操作を実現する模倣学習
    境野 翔
    ロボット / 日本ロボット工業会 編/(267)/pp.25-29, 2022-07
  • Bilateral Control of Human Upper Limbs Using Functional Electrical Stimulation Based on Dynamic Model Approximation
    Kitamura Tomoya; Sakaino Sho; Masayuki Hara; Tsuji Toshiaki
    Proceedings of the 8th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, 2022-03
  • High Dynamic Range Uniaxial Force/Torque Sensor Using Metal Foil and Semiconductor Strain Gauge
    Tamura Ryuya; Sakaino Sho; Tsuji Toshiaki
    Proceedings of the 8th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, 2022-03
  • Imitation Learning for Nonprehensile Manipulation Through Self-Supervised Learning Considering Motion Speed
    Saigusa Yuki; Sakaino Sho; Tsuji Toshiaki
    IEEE ACCESS/10/pp.68291-68306, 2022-07
  • A Design Method for Non-Diagonal Stiffness Matrix in Admittance Control
    Kusakabe Tsukasa; Sakaino Sho; Tsuji Toshiaki
    the 21st International Conference on Control, Automation and Systems, 2021-10
  • Contact State Recognition for Selective Cutting Task of Flexible Objects
    Kato Yasuhiro; Sakaino Sho; Tsuji Toshiaki
    Proceedings of the 2021 IEEE International Conference on Development and Learning/pp.1-6, 2021-08
  • Motion Planning for Cutting Flexible Objects Based on Contact State Recognition
    Kato Yasuhiro; Sakaino Sho; Tsuji Toshiaki
    the 8th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, 2022-03
  • A Force Recognition System for Distinguishing Click Responses of Various Objects
    Sato Koyo; Sakaino Sho; Tsuji Toshiaki
    IEEE/RSJ International Conference on Intelligent Robots and Systems/pp.2860-2865, 2021-09
  • Force Control of Grinding Process Based on Frequency Analysis
    Nogi Yuya; Sakaino Sho; Tsuji Toshiaki
    IEEE Robotics and Automation Letters/7(2)/pp.3250-3256, 2022-04
  • High Dynamic Range Force Sensing of a Robot Hand Combining Signals on Tip and Wrist
    Horikoshi Tomoki; Sakaino Sho; Tsuji: Toshiaki
    IEEE Robotics and Automation Letters/7(2)/pp.3210-3217, 2022-04
  • バイラテラル制御に基づく模倣学習のためのリーダ―フォロワ間の推定誤差を利用した指令値補正
    赤川 徹朗; 林 和希; 境野 翔
    メカトロニクス制御研究会, 2021-12
  • 複数の刺激波形を用いた機能的電気刺激による手指関節の駆動
    浜名 竜大; 境野 翔; 辻 俊明
    メカトロニクス制御研究会, 2021-12
  • An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications
    Hayashi Kazuki; Sakaino Sho; Tsuji Toshiaki
    IEEE Access/10/pp.32766-32781, 2022-02
  • Imitation Learning for Variable Speed Contact Motion for Operation up to Control Bandwidth
    Sakaino Sho; Fujimoto Kazuki; Saigusa Yuki; Toshiaki Tsuji
    IEEE Open Journal of the Industrial Electronics Society/3/pp.116-127, 2022-02
  • Verification of Learning Model for Dual-arm Cooperative Motion in Imitation Learning based on Bilateral Control
    七種 勇樹; 笹川 歩; 境野 翔; 辻 俊明
    Journal of the Robotics Society of Japan/39(7)/pp.677-680, 2021
  • Bilateral Control-Based Imitation Learning for Velocity-Controlled Robot
    Sakaino Sho
    Proceedings of the 30th IEEE International Symposium on Industrial Electronics/pp.1-6, 2021-06
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