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2020 年度 実績報告書

Dense 3-axis tactile sensing and AI to implement human-like manual skills in robots

研究課題

研究課題/領域番号 19H02116
研究機関早稲田大学

研究代表者

シュミッツ アレクサンダー  早稲田大学, 理工学術院, 准教授(任期付) (30729455)

研究分担者 尾形 哲也  早稲田大学, 理工学術院, 教授 (00318768)
玉城 絵美  早稲田大学, 理工学術院, 准教授(任期付) (30515086)
Somlor Sophon  早稲田大学, 理工学術院総合研究所(理工学研究所), 次席研究員(研究院講師) (40791231)
研究期間 (年度) 2019-04-01 – 2022-03-31
キーワードTactile Sensors
研究実績の概要

We have further developed the tactile sensors. In particular, the sensors are stretchable now, so that they can be used for robot joints for example in the future. Previously, the design required silver paste and multiple resins for elements such as wiring, wiring fixation, and substrate fixation. In terms of the work process, delicate temperature control and technology were required when bonding the sheet, resin, and substrate due to the effects of thermal deformation. In the new design, copper wire and silicon are the main materials used to create the elastic wiring, and the process no longer requires special work, making it easier and shorter than before. Therefore, it is expected to lead to increased efficiency when automating the process in the future.

Moreover, we have continued to use the tactile sensors embedded in robot hands and grippers for tactile AI. The robot is able to perform various in-hand manipulations, detect object properties, and predict grasp stability as well as detect slip. We use, implement and improve state of the art machine learning methods such as attention mechanisms, ensemble learning and graph neural networks.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

We finished the project as scheduled. There were no unexpected occurrences.

今後の研究の推進方策

In the future we want to cover the robot completely with tactile sensors.

  • 研究成果

    (4件)

すべて 2022

すべて 雑誌論文 (3件) (うち国際共著 3件、 査読あり 3件) 学会発表 (1件) (うち国際学会 1件)

  • [雑誌論文] Multi-Fingered In-Hand Manipulation With Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors2022

    • 著者名/発表者名
      Funabashi Satoshi、Isobe Tomoki、Hongyi Fei、Hiramoto Atsumu、Schmitz Alexander、Sugano Shigeki、Ogata Tetsuya
    • 雑誌名

      IEEE Robotics and Automation Letters

      巻: 7 ページ: 2102~2109

    • DOI

      10.1109/LRA.2022.3142417

    • 査読あり / 国際共著
  • [雑誌論文] Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks2022

    • 著者名/発表者名
      Funabashi Satoshi、Yan Gang、Hongyi Fei、Schmitz Alexander、Jamone Lorenzo、Ogata Tetsuya、Sugano Shigeki
    • 雑誌名

      IEEE Transactions on Neural Networks and Learning Systems

      巻: 1 ページ: 1~15

    • DOI

      10.1109/TNNLS.2022.3215723

    • 査読あり / 国際共著
  • [雑誌論文] A Robotic Grasping State Perception Framework With Multi-Phase Tactile Information and Ensemble Learning2022

    • 著者名/発表者名
      Yan Gang、Schmitz Alexander、Funabashi Satoshi、Somlor Sophon、Tomo Tito Pradhono、Sugano Shigeki
    • 雑誌名

      IEEE Robotics and Automation Letters

      巻: 7 ページ: 6822~6829

    • DOI

      10.1109/LRA.2022.3151260

    • 査読あり / 国際共著
  • [学会発表] Detection of Slip from Vision and Touch2022

    • 著者名/発表者名
      Yan, G., Schmitz, A., Tomo, T. P., Somlor, S., Funabashi, S., Sugano, S.
    • 学会等名
      IEEE International Conference on Robotics and Automation (ICRA 2022)
    • 国際学会

URL: 

公開日: 2023-12-25  

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