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Verification type general object gripping system based on forced suction gripper of industrial intelligent robot and tactile force sense guided operation

Research Project

Project/Area Number 16K12499
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Intelligent robotics
Research InstitutionThe University of Tokyo

Principal Investigator

OKADA Kei  東京大学, 大学院情報理工学系研究科, 教授 (70359652)

Project Period (FY) 2016-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Keywords知能ロボット / 強制吸引グリッパ / 手探り動作 / 手探り操作
Outline of Final Research Achievements

Integrated suction hand consisting of forced adsorption and pinching multi fingers was developed, and bending, short range, proximity tactile sensor was incorporated here. It shows that the product can be taken out from the narrow space by adding the extendable shaft to the suction part, and by using multi-fingered pinching, the article is prevented from falling. In addition, we designed an algorithm to design primitive reflecting motion according to the foreshock response obtained via the near range tactile sensor, thereby realizing trial - and - error grasping along the shape of the object. In addition, by acquiring a recognition behavior network to predict failure before learning, applying only the hand attached operation of the double arm only when the failure probability is high, thereby suppressing the extension of the work execution time , It became possible to secure high operational stability.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • Research Products

    (8 results)

All 2017 2016

All Journal Article (3 results) (of which Peer Reviewed: 3 results) Presentation (5 results) (of which Invited: 1 results)

  • [Journal Article] A Three-Fingered Hand with a Suction Gripping System for Picking Various Objects in Cluttered Narrow Space2017

    • Author(s)
      Shun Hasegawa, Kentaro Wada, Yusuke Niitani, Kei Okada, Masayuki Inaba
    • Journal Title

      Proceedings of The 2017 IEEE/RSJ International Conference on Robotics and Systems,

      Volume: 1 Pages: 1164-1171

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 解説 ロボットコンテストAmazon Picking Challenge2017

    • Author(s)
      岡田慧
    • Journal Title

      電信情報通信学会 - IEICE会誌

      Volume: Vol. 100, No. 2 Pages: 129-133

    • Related Report
      2016 Research-status Report
    • Peer Reviewed
  • [Journal Article] 3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map2016

    • Author(s)
      Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba
    • Journal Title

      in Proceedings of the 2016 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2016)

      Volume: 1 Pages: 1149-1154

    • Related Report
      2016 Research-status Report
    • Peer Reviewed
  • [Presentation] [特別講演]Amazon Picking Challenge2016の参加レポート2017

    • Author(s)
      藤吉弘亘,松元叡一,岡田 慧
    • Organizer
      信学技報, vol. 116, no. 461, PRMU2016-174, pp. 123-129, 2017年2月
    • Place of Presentation
      北海道大学
    • Year and Date
      2017-02-11
    • Related Report
      2016 Research-status Report
    • Invited
  • [Presentation] 狭隘空間におけるピッキングタスクのための吸着挟み込みハンドの開発2017

    • Author(s)
      長谷川 峻, 和田 健太郎, 岡田 慧, 稲葉 雅幸
    • Organizer
      日本機械学会ロボティクス・メカトロニクス講演会'17 講演論文集
    • Related Report
      2017 Annual Research Report
  • [Presentation] 作業失敗の予測学習に基づく棚への収納作業における双腕手添え動作の選択的実行2017

    • Author(s)
      北川 晋吾, 和田 健太郎, 岡田 慧, 稲葉 雅幸
    • Organizer
      The 31st Annual Conference of the Japanese Society for Artificial Intelligence
    • Related Report
      2017 Annual Research Report
  • [Presentation] 物品棚のピッキング作業のための深層学習でのセマンティック画像分割と三次元物品輪郭抽出2016

    • Author(s)
      二井谷 勇佑, 和田 健太郎, 長谷川 峻, 北川 晋吾, 板東 正祐, 岡田 慧, 稲葉 雅幸
    • Organizer
      第34回日本ロボット学会学術講演会
    • Place of Presentation
      山形大学白川キャンパス
    • Year and Date
      2016-09-07
    • Related Report
      2016 Research-status Report
  • [Presentation] Adaptive Picking Motion Generation with Reinforcement Learning of Perception based on Experience in Robotic Tasks2016

    • Author(s)
      Kentaro Wada, Kei Okada, Masayuki Inaba
    • Organizer
      日本機械学会ロボティクス・メカトロニクス講演会'16
    • Place of Presentation
      パシフィコ横浜
    • Year and Date
      2016-06-08
    • Related Report
      2016 Research-status Report

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Published: 2016-04-21   Modified: 2019-03-29  

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