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Ultra-extensible ribbon-like magnetic microswarm

Author

Listed:
  • Jiangfan Yu

    (The Chinese University of Hong Kong)

  • Ben Wang

    (The Chinese University of Hong Kong
    The Chinese University of Hong Kong)

  • Xingzhou Du

    (The Chinese University of Hong Kong
    The Chinese University of Hong Kong
    The Chinese University of Hong Kong)

  • Qianqian Wang

    (The Chinese University of Hong Kong)

  • Li Zhang

    (The Chinese University of Hong Kong
    The Chinese University of Hong Kong
    The Chinese University of Hong Kong
    the Chinese University of Hong Kong)

Abstract

Various types of structures self-organised by animals exist in nature, such as bird flocks and insect swarms, which stem from the local communications of vast numbers of limited individuals. Through the designing of algorithms and wireless communication, robotic systems can emulate some complex swarm structures in nature. However, creating a swarming robotic system at the microscale that embodies functional collective behaviours remains a challenge. Herein, we report a strategy to reconfigure paramagnetic nanoparticles into ribbon-like swarms using oscillating magnetic fields, and the mechanisms are analysed. By tuning the input fields, the microswarm can perform a reversible elongation with an extremely high aspect ratio, as well as splitting and merging. Moreover, we investigate the behaviours of the microswarm when it encounters solid boundaries, and demonstrate that under navigation, the colloidal microswarm passes through confined channel networks towards multiple targets with high access rates and high swarming pattern stability.

Suggested Citation

  • Jiangfan Yu & Ben Wang & Xingzhou Du & Qianqian Wang & Li Zhang, 2018. "Ultra-extensible ribbon-like magnetic microswarm," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05749-6
    DOI: 10.1038/s41467-018-05749-6
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    Cited by:

    1. Gaurav Gardi & Steven Ceron & Wendong Wang & Kirstin Petersen & Metin Sitti, 2022. "Microrobot collectives with reconfigurable morphologies, behaviors, and functions," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Mengmeng Sun & Bo Hao & Shihao Yang & Xin Wang & Carmel Majidi & Li Zhang, 2022. "Exploiting ferrofluidic wetting for miniature soft machines," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. K. S. Vikrant & G. R. Jayanth, 2022. "Diamagnetically levitated nanopositioners with large-range and multiple degrees of freedom," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Zhongguo Ren & Chen Xin & Kaiwen Liang & Heming Wang & Dawei Wang & Liqun Xu & Yanlei Hu & Jiawen Li & Jiaru Chu & Dong Wu, 2024. "Femtosecond laser writing of ant-inspired reconfigurable microbot collectives," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    5. Sukyoung Won & Hee Eun Lee & Young Shik Cho & Kijun Yang & Jeong Eun Park & Seung Jae Yang & Jeong Jae Wie, 2022. "Multimodal collective swimming of magnetically articulated modular nanocomposite robots," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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