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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 Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 21010:Power engineering-related
Research InstitutionNagaoka University of Technology

Principal Investigator

TRAN PHUONG THAO  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
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2020: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
KeywordsMotion control / Force control / Intelligent sensing / Deep learning / Robot / Intelligent control / intelligent robotics / motion control
Outline of Research at the Start

To establish the effective human-robot collaborations, the superior wideband force observer is developed to achieve the outstanding fine force perception. Moreover, the artificial intelligence based force controller is developed to provide the model-free-learning algorithm to realize the safe and reliable interaction for robot system.

Outline of Final Research Achievements

The ascending need of human-robot collaboration has led to the extensive evolution of human-robot interaction applications. To enhance the performance and guarantee the safety of interaction, the development of these robots has been focusing on building sensory systems, especially the tactile sensation that allows robots to explore the real world and carry out work in a manner close to human ability. However, tactile sensation encounters challenges of noise, friction, undesired periodicities, and bandwidth limitation. These problems can endanger the executions of robots and expose human lives to hazardous circumstances. This study aims at solving these problems by realizing the breakthrough super-wideband and intelligent force perception for safe interaction force control.

Academic Significance and Societal Importance of the Research Achievements

本研究は、人間の触覚(400Hz)よりもはるかに広い1kHzの超広帯域力覚を実現し、ロボットの力制御分野における記録となる。超広帯域・インテリジェントな力覚は、力制御性能を向上させるとともに、安全な相互作用を保証することができる。本研究で開発された技術は、人間とロボットの安全な相互作用の応用、スマート力覚、スマート力制御システムに有用であり、少子高齢化が進む日本の日常生活や産業において、人間と協働するロボットの発展に貢献する。

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (9 results)

All 2023 2022 2021 2020

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (8 results) (of which Int'l Joint Research: 5 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 Issue: 4 Pages: 773-785

    • DOI

      10.1541/ieejjia.22000390

    • ISSN
      2187-1094, 2187-1108
    • Year and Date
      2023-07-01
    • Related Report
      2022 Annual Research Report
    • 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
    • Related Report
      2022 Annual Research Report
    • 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
    • Related Report
      2022 Annual Research Report
  • [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
    • Related Report
      2022 Annual Research Report
  • [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
    • Related Report
      2022 Annual Research Report
  • [Presentation] Evaluation of Force Sensation Using Periodicity Estimation Integrated Singular Spectrum Analysis Based Disturbance Observer2022

    • Author(s)
      Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura
    • Organizer
      The 8th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, SAMCON2022
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Deep Learning Based Kalman Filter for Variable-Frequency Disturbance Elimination in Force Sensing2021

    • Author(s)
      Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura
    • Organizer
      The 30th International Symposium on Industrial Electronics, ISIE2021
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Deep Learning Based Singular Spectrum Analysis for Realization of Wideband Force Sensing2021

    • Author(s)
      Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura
    • Organizer
      The 2021 IEEE International Conference on Mechatronics, ICM2021
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Enhancement of Performance on Sensor-less Force Sensation Using Singular Spectrum Analysis Based Force Observers2020

    • Author(s)
      Thao Tran Phuong, Kiyoshi Ohishi, Yuki Yokokura
    • Organizer
      The 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research

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Published: 2020-04-28   Modified: 2024-01-30  

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