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2022 Fiscal Year Annual Research Report

Research development of the super leading safe and smart next generation robot based on breakthrough superior wideband force perception and outstanding robot artificial intelligence

Research Project

Project/Area Number 20K14713
Research InstitutionNagaoka University of Technology

Principal Investigator

TRAN PHUONGTHAO  長岡技術科学大学, 工学研究科, 助教 (20848923)

Project Period (FY) 2020-04-01 – 2023-03-31
KeywordsMotion control / Force control / Intelligent sensing / Deep learning / Robot
Outline of Annual Research Achievements

This research accomplished the superior wideband and periodicity-cancellation force observer to resolve tough challenges in force sensing (noise, friction, undesired periodicities, bandwidth limitation). The superior wideband force sensing of 1 kHz was realized and successfully applied to attain a high-performance force control system. The bandwidth of 1 kHz is much wider than human tactile sensation (400 Hz) and is a record in the field of robot force control. Moreover, this research realized the deep-learning-based adaptive-noise-cancellation force sensing to address the variable noise that is usually unpredictable and difficult to identify in advance for noise suppression. This method realizes variable noise attenuation to enhance the force sensing and force control performances in a force control system where noise characteristics are variant. The technology developed in this research is useful in safe human-robot interaction applications, smart force sensing and smart force control systems where high flexibility and adaptation to various working environments are important.

  • Research Products

    (5 results)

All 2023 2022

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (4 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] High-Performance Sensorless Force Control Using Superior Wideband and Periodicity-Cancellation Force Observer2023

    • Author(s)
      Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura
    • Journal Title

      IEEJ Journal of Industry Applications

      Volume: 12 Pages: 1-13

    • DOI

      10.1541/ieejjia.22000390

    • Peer Reviewed / Open Access
  • [Presentation] Deep Learning Based Adaptive Noise Cancellation for Force Observation in Sensor-Less Force Control2023

    • Author(s)
      Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura
    • Organizer
      The 9th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, SAMCON2023
    • Int'l Joint Research
  • [Presentation] リニアモータのセンサレス力制御系の接触過程におけるアンチバウンシング制御による振動抑制2023

    • Author(s)
      北村和輝, 大石潔, 横倉勇希, Thao Tran Phuong
    • Organizer
      半導体電力変換研究会/モータドライブ合同研究会
  • [Presentation] リニアモータエンドエフェクタによる非線形摩擦環境へのアプローチを伴うセンサレス力制御の振動抑制法の一検討2022

    • Author(s)
      北村和輝, 大石潔, 横倉勇希, Thao Tran Phuong
    • Organizer
      第65回 自動制御連合講演会
  • [Presentation] リニアモータエンドエフェクタによる非線形摩擦環境へのアプローチから力制御フェーズの振動抑制法の一検討2022

    • Author(s)
      北村和輝, 大石潔, 横倉勇希, Thao Tran Phuong
    • Organizer
      第40回日本ロボット学会学術講演会

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Published: 2023-12-25  

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