Bio-inspired magnetic swimming microrobots for biomedical applications
Abstract
Microrobots have been proposed for future biomedical applications in which they are able to navigate in viscous fluidic environments. Nature has inspired numerous microrobotic locomotion designs, which are suitable for propulsion generation at low Reynolds numbers. This article reviews the various swimming methods with particular focus on helical propulsion inspired by E. coli bacteria. There are various magnetic actuation methods for biomimetic and non-biomimetic microrobots, such as rotating fields, oscillating fields, or field gradients. They can be categorized into force-driven or torque-driven actuation methods. Both approaches are reviewed and a previous publication has shown that torque-driven actuation scales better to the micro- and nano-scale than force-driven actuation. Finally, the implementation of swarm or multi-agent control is discussed. The use of multiple microrobots may be beneficial for in vivo as well as in vitro applications. Thus, the frequency-dependent behavior of helical microrobots is discussed and preliminary experimental results are presented showing the decoupling of an individual agent within a group of three microrobots.
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In space, the computational power of computers has to remain limited because cosmic radiation burns modern CPUs.
“In space, the computational power of computers has to remain limited because of cosmic radiation burning modern CPUs [128].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [128]
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Purcell, E. M. (1977) · American Journal of Physics · doi:10.1119/1.10903 · Cited by 4,360 · see citing works
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Yan, X., Zhou, Q., Vincent, M., Deng, Y., Yu, J., Xu, J., Xu, T., Tang, T., Bian, L., Wang, Y.-X. J., et al. (2017) · Science Robotics · doi:10.1126/scirobotics.aaq1155 · Cited by 893 · see citing works
Self-citationDual-responsive biohybrid neutrobots for active target delivery
Zhang, H., Li, Z., Gao, C., Fan, X., Pang, Y., Li, T., Wu, Z., Xie, H., & He, Q. (2021) · Science Robotics · doi:10.1126/scirobotics.aaz9519 · Cited by 518 · see citing works
Swarm Robotics: Past, Present, and Future [Point of View]
Dorigo, M., Theraulaz, G., & Trianni, V. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3072740 · Cited by 401 · see citing works
Bioinspired Helical Microswimmers Based on Vascular Plants
Gao, W., Feng, X., Pei, A., Kane, C. R., Tam, R., Hennessy, C., & Wang, J. (2014) · Nano Letters · doi:10.1021/nl404044d · Cited by 380 · see citing works
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- Authors
- Peyer, K. E., Zhang, L., & Nelson, B. J.
- Affiliations
- ETH Zurich (CH)
- Chinese University of Hong Kong (HK)
- Corresponding author
- Nelson, Bradley J.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 5
- Issue
- 4
- Pages
- 1259-1272
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2137003787
- Cited by
- 820
- References
- 1
- Citations by year
- 2026: 34 · 2025: 54 · 2024: 63 · 2023: 64 · 2022: 90 · 2021: 85 · 2020: 82 · 2019: 58 · 2018: 69 · 2017: 56 · 2016: 48 · 2015: 52 · 2014: 38 · 2013: 26
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nanoscale (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Centre of Competence in Research Robotics
- Topics
- Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Micro and Nano Robotics
- Physical Sciences › Engineering › Aerospace Engineering › Biomimetic flight and propulsion mechanisms
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MEMS and NEMS Technologies
- Keywords
- magnetic microrobots, bio-inspired locomotion, Escherichia coli, low Reynolds number propulsion, rotating magnetic field, alternating magnetic field, field gradient, swarm robotics, multi-agent control, frequency dependence
- MeSH terms
- Animals, Equipment Design, Escherichia coli, Humans, Miniaturization, Robotics, Swimming, Nanotechnology, Biomimetic Materials, Microfluidics, Magnets
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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