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.
Authors
- Islam S. M. Khalil (ORCID: https://orcid.org/0000-0003-0617-088X)
- Anke Klingner (ORCID: https://orcid.org/0000-0002-2426-433X)
- Yutao T. Pei (ORCID: https://orcid.org/0000-0002-1817-2228)
- Sarthak Misra (ORCID: https://orcid.org/0000-0003-4961-0144)
- Wenjian Li (ORCID: https://orcid.org/0009-0007-5494-2473)
- Zihan Wang (ORCID: https://orcid.org/0000-0001-8606-1733)
Institutions
- University Medical Center Groningen (NL)
- University of Groningen (NL)
- University of Twente (NL)
- German University in Cairo (EG)
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
Funders
- European Commission
- Rijksuniversiteit Groningen
- University of Twente
- China Scholarship Council
- Universitair Medisch Centrum Groningen
- European Research Council
- Horizon 2020
- H2020 European Research Council