3DOF dual-arm microrobots enabling force sensing in a microfluidic chip

Masakuni Sugita, Tomohiro Kawahara, Masaya Hagiwara, Yoko Yamanishi, Fumihito Arai

研究成果: Conference contribution

抄録

In this paper, we propose 3DOF dual-arm microrobots which enabling manipulation and force sensing for a single cell of microorganisms in a microfluidic chip. The untethered microrobots are actuated by permanent magnets which can supply mN order force to stimulate microorganisms and measure the applied force where we want to measure them. The design and fabrication of the untethered microrobots with force sensing structure are discussed. Through the basic experiment, the advantages of the proposed methods and the performance of the 3DOF dual-arm microrobots are confirmed. We also perform the manipulation and force sensing experiment for microorganisms by the developed microrobots.

本文言語English
ホスト出版物のタイトル2011 Int. Symp. on Micro-NanoMechatronics and Human Science, Symp. on "COE for Education and Research of Micro-Nano Mechatronics", Symposium on "Hyper Bio Assembler for 3D Cellular System Innovation"
出版社IEEE Computer Society
ページ105-107
ページ数3
ISBN(印刷版)9781457713613
DOI
出版ステータスPublished - 2011 1月 1
イベント22nd Annual Symp. on Micro-Nano Mechatronics and Human Science, MHS 2011, Held Jointly with the Symp. on COE for Education and Research of Micro-Nano Mechatronics, Micro-Nano GCOE 2011, Symp. on Hyper Bio Assembler for 3D Cellular System Innovation - Nagoya, Japan
継続期間: 2011 11月 62011 11月 9

出版物シリーズ

名前2011 Int. Symp. on Micro-NanoMechatronics and Human Science, Symp. on "COE for Education and Research of Micro-Nano Mechatronics", Symposium on "Hyper Bio Assembler for 3D Cellular System Innovation"

Conference

Conference22nd Annual Symp. on Micro-Nano Mechatronics and Human Science, MHS 2011, Held Jointly with the Symp. on COE for Education and Research of Micro-Nano Mechatronics, Micro-Nano GCOE 2011, Symp. on Hyper Bio Assembler for 3D Cellular System Innovation
国/地域Japan
CityNagoya
Period11/11/611/11/9

ASJC Scopus subject areas

  • 人工知能
  • 機械工学

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