Magnetic control of soft microrobots near step-out frequency: Characterization and analysis

Magnetically actuated soft microrobots hold promise for biomedical applications that necessitate precise control and adaptability in complex environments. These microrobots can be accurately steered below their step-out frequencies where they exhibit synchronized motion with external magnetic fields. However, the step-out frequencies of soft microrobots have not been investigated yet, as opposed to their rigid counterparts. In this work, we develop an analytic model from the magneto-elastohydrodynamics to establish the relationship between the step-out frequency of soft sperm-like microrobots and their magnetic properties, geometry, wave patterns, and the viscosity of the surrounding medium. We fabricate soft sperm-like microrobots using electrospinning and assess their swimming abilities in mediums with varying viscosities under an oscillating magnetic field. We observe slight variations in wave patterns of the sperm-like microrobots as the actuation frequency changes. Our theoretical model, which analyzes these wave patterns observed without exceeding the step-out threshold, quantitatively agrees with the experimentally measured step-out frequencies. By accurately predicting the step-out frequency, the proposed model lays a foundation for achieving precise control over individual soft microrobots and enabling selective control within a swarm when executing biomedical tasks.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2024-08-30
DOI
https://doi.org/10.1016/j.csbj.2024.08.022
Citations
1
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
0.31

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article

Magnetic control of soft microrobots near step-out frequency: Characterization and analysis

Islam S. M. Khalil, Anke Klingner, Yutao T. Pei, Sarthak Misra et al.
1 citations
Computational and Structural Biotechnology Journal
Micro and Nano Robotics
0.31
article

Magnetic control of soft microrobots near step-out frequency: Characterization and analysis

Islam S. M. Khalil, Anke Klingner, Yutao T. Pei, Sarthak Misra, Wenjian Li, Zihan Wang
article en
1 citations

Abstract

Magnetically actuated soft microrobots hold promise for biomedical applications that necessitate precise control and adaptability in complex environments. These microrobots can be accurately steered below their step-out frequencies where they exhibit synchronized motion with external magnetic fields. However, the step-out frequencies of soft microrobots have not been investigated yet, as opposed to their rigid counterparts. In this work, we develop an analytic model from the magneto-elastohydrodynamics to establish the relationship between the step-out frequency of soft sperm-like microrobots and their magnetic properties, geometry, wave patterns, and the viscosity of the surrounding medium. We fabricate soft sperm-like microrobots using electrospinning and assess their swimming abilities in mediums with varying viscosities under an oscillating magnetic field. We observe slight variations in wave patterns of the sperm-like microrobots as the actuation frequency changes. Our theoretical model, which analyzes these wave patterns observed without exceeding the step-out threshold, quantitatively agrees with the experimentally measured step-out frequencies. By accurately predicting the step-out frequency, the proposed model lays a foundation for achieving precise control over individual soft microrobots and enabling selective control within a swarm when executing biomedical tasks.

Computational and Structural Biotechnology JournalVol. 25
University Medical Center Groningen (NL), University of Groningen (NL), University of Twente (NL), German University in Cairo (EG)
European Commission, Rijksuniversiteit Groningen, University of Twente, China Scholarship Council, Universitair Medisch Centrum Groningen, European Research Council, Horizon 2020, H2020 European Research Council
Zero hunger
Openalex Percentile: Top 44%
Micro and Nano Robotics
0.31
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