A Miniature Flexible-Link Magnetic Swimming Robot with Two Vibration Modes: Design, Modeling and Characterization

Lidong Yang, Qianqian Wang, Chi Ian Vong, Li Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

37 Citations (Scopus)

Abstract

In this letter, we report a miniature swimming robot that consists of a nonmagnetic V-shaped head, an I-shaped tail attached with a magnet and a flexible link for interconnection of the rigid head and tail. The use of a flexible link enables the robot to exhibit two different vibration modes by tuning the input frequencies of the applied oscillating magnetic field with uniform field strength. When the input frequency is below 15 Hz, the head and tail show similar and large vibration amplitudes, and the net centrifugal force mainly contributes to the forward propulsion of the robot in fluid. While with high input frequencies (i.e., larger than 30 Hz), the flexible link can filter away high-frequency signals to efficiently avoid the passive vibration of the nonmagnetic head. Simultaneously, the magnetic tail vibrates with relatively large amplitude and generates forward propulsion force for the robot. To understand the whole-body-vibration and tail-vibration behaviors, an analytical model has been developed. Moreover, swimming performances of this robot, i.e., the propulsion force and swimming velocity, are characterized on the substrate-water interface. Finally, we demonstrate two-dimensional manipulation of tiny objects by utilizing the two vibration modes of the robot.

Original languageEnglish
Pages (from-to)2024-2031
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume2
Issue number4
DOIs
Publication statusPublished - Oct 2017
Externally publishedYes

Keywords

  • Mechanism design
  • micro/nano robots
  • soft material robotics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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