• 研究課題をさがす
  • 研究者をさがす
  • KAKENの使い方
  1. 課題ページに戻る

2020 年度 実施状況報告書

Automatic Optimal Design of a Visual-based Stiffness Sensor and real-time Colour-coded Stiffness Map for Minimally Invasive Procedures.

研究課題

研究課題/領域番号 20K14691
研究機関東京大学

研究代表者

ファラガッソ アンジェラ  東京大学, 大学院工学系研究科(工学部), 特任助教 (80847070)

研究期間 (年度) 2020-04-01 – 2022-03-31
キーワードVisual-based sensing / Optimal design / MIS / Medical Robotics / Remote palpation / Stiffness sensing / Topological optimization / Stiffness map
研究実績の概要

Study on the topological structure of 3D printed materials have been carried out. Large scale prototypes have been designed and fabricated. Additionally, this research brought some novel work related to the coronavirus outbreak. The topological and material properties studies have been used for realizing customized 3D printed masks from 2D image..
Deep neural network have been implemented for retrieve 3D features from 2D information. This work will be tailored for implementing deep 3D neural network for realizing topological optimal design and stiffness mapping.
The implementation of a remote palpation system which can give mechanical properties of soft tissue by using our stiffness sensor, is under development. Such system would be particularly beneficial for remote diagnostic procedures.

現在までの達成度 (区分)
現在までの達成度 (区分)

3: やや遅れている

理由

The corona virus outbreak and health issue of the PI have slightly delayed this research.
The PI was supposed to visit the Micro Technology and Medical Device Technology laboratory at the University of Munich to conduct joint research on the topological optimization of the stiffness sensor. Unfortunately, due to the outbreak, this travel plan has been postponed. However, virtual meeting have been carried out and hopefully one student from Munich will join our lab at the University of Tokyo in the next few months.

今後の研究の推進方策

The PI is studying novel methods for topological optimization and looking also into deep neural network.
When the design will be finalized, different prototypes will be fabricated by using novel soft materials.Preliminary prototypes have been already fabricated with a bio-compatible material.
The sensor will be integrate in surgical manipulator and used for creating real-time stiffness map of anatomical surfaces.
A remote palpation system composed by a mobile manipulator robot equipped with a large scale stiffness sensor will be implemented and used for remote external palpation. This realization of this system will be particular useful for implementing diagnostic system. Application of a remote palpation system span from rescue medical device to at-home care for elderly.

次年度使用額が生じた理由

A mobile manipulator platform will be purchased and used for testing the efficiency of the proposed remote stiffness sensing system. The palpation site will be connected to a remote one equipped with display and haptic feedback where it will be possible to visualize the real-time stiffness map. This can be used for external palpation and minimally invasive surgery.
The PI is planning to visit the University of Munich in the next year to conduct joint research on optimal design of visual-based stiffness mechanisms. Additionally, hybrid-virtual workshop will be organized to promote this research and exchange opinion with other groups working in the same field.
The PI also hope to join in person conferences and events in the next year. Publication costs are also planned for the next year.

  • 研究成果

    (9件)

すべて 2021 2020

すべて 雑誌論文 (4件) 学会発表 (5件) (うち国際学会 5件、 招待講演 2件)

  • [雑誌論文] Automatic Design of Compliant Surgical Forceps With Adaptive Grasping Functions2020

    • 著者名/発表者名
      Sun Yilun、Liu Yuqing、Xu Lingji、Zou Yunzhe、Faragasso Angela、Lueth Tim C.
    • 雑誌名

      IEEE Robotics and Automation Letters

      巻: 5 ページ: 1095~1102

    • DOI

      10.1109/LRA.2020.2967715

  • [雑誌論文] On the Extinction?Free Stabilization of Predator-Prey Dynamics2020

    • 著者名/発表者名
      Massaroli Stefano、Califano Federico、Faragasso Angela、Yamashita Atsushi、Asama Hajime
    • 雑誌名

      IEEE Control Systems Letters

      巻: 4 ページ: 964~969

    • DOI

      10.1109/LCSYS.2020.2997741

  • [雑誌論文] Camera Orientation Estimation in Leaking Indoor Environment via Vanishing Point of Water Drops,2020

    • 著者名/発表者名
      H. Xu, R. Komatsu, H. Woo, A. Faragasso, A. Yamashita and H. Asama
    • 雑誌名

      2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR),

      巻: - ページ: -

  • [雑誌論文] Identification of a Class of Hybrid Dynamical Systems2020

    • 著者名/発表者名
      Massaroli Stefano、Califano Federico、Faragasso Angela、Risiglione Mattia、Yamashita Atsushi、Asama Hajime
    • 雑誌名

      IFAC-PapersOnLine

      巻: 53 ページ: 875~882

    • DOI

      10.1016/j.ifacol.2020.12.846

  • [学会発表] Reproducibility and Benchmarking in Medical Robotics: How to manufacture effective devices2021

    • 著者名/発表者名
      Angela Faragasso
    • 学会等名
      TUM-UTokyo Online Workshop
    • 国際学会
  • [学会発表] Robotics Research and Education: Present and Future2021

    • 著者名/発表者名
      Angela Faragasso
    • 学会等名
      The University of New South Wales (UNSW)
    • 国際学会 / 招待講演
  • [学会発表] Smart design of effective robot mechanisms and devices2021

    • 著者名/発表者名
      Angela Faragasso
    • 学会等名
      25th of may 2021 Workshop on Embodied Intelligence
    • 国際学会
  • [学会発表] Reproducibility and benchmarking in Robotics and Healthcare2021

    • 著者名/発表者名
      Angela Faragasso
    • 学会等名
      Worcester Polytechnic Institute (WPI)
    • 国際学会 / 招待講演
  • [学会発表] Replicability and Reproducibility in Medical Robotics: How accurately can we train our doctors?2020

    • 著者名/発表者名
      Angela Faragasso
    • 学会等名
      IEEE/RSJ IROS 2020 Workshop on "Robot-assisted Medical Examination Training
    • 国際学会

URL: 

公開日: 2021-12-27  

サービス概要 検索マニュアル よくある質問 お知らせ 利用規程 科研費による研究の帰属

Powered by NII kakenhi