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On-demand orbital maneuver of multiple soft robots via hierarchical magnetomotility

Author

Listed:
  • Sukyoung Won

    (Inha University)

  • Sanha Kim

    (Korea Advanced Institute of Science and Technology)

  • Jeong Eun Park

    (Inha University)

  • Jisoo Jeon

    (Inha University)

  • Jeong Jae Wie

    (Inha University
    Inha University)

Abstract

Magnetic soft robots facilitate the battery-free remote control of soft robots. However, parallel control of multiple magnetic robots is challenging due to interference between robots and difficult maneuvers. Here we present the orbital maneuvering of manifold magnetic soft robots. Magneto-induced motion (magnetomotility) that includes the hierarchy of rotation and resultant revolution allows for the independent control of the robot’s velocity and orbital radius. The soft robot achieves a speed of 60 body length (BL) s−1, which is approximately 50, 000 times faster with 1/7 the weight of the current lightest legged soft robot. The hierarchical magnetomotility is suitable for versatile locomotion such as stairs and uphill climbing, underwater and above water swimming. Owing to their swimming functionality, a swarm of such soft robots is capable of transportation of cargo. On-demand orbital maneuvering of magnetic soft robots provides a new methodology for concurrent actuation of multiple robots exhibiting collective behaviors.

Suggested Citation

  • Sukyoung Won & Sanha Kim & Jeong Eun Park & Jisoo Jeon & Jeong Jae Wie, 2019. "On-demand orbital maneuver of multiple soft robots via hierarchical magnetomotility," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12679-4
    DOI: 10.1038/s41467-019-12679-4
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    Cited by:

    1. Ziheng Chen & Yibin Wang & Hui Chen & Junhui Law & Huayan Pu & Shaorong Xie & Feng Duan & Yu Sun & Na Liu & Jiangfan Yu, 2024. "A magnetic multi-layer soft robot for on-demand targeted adhesion," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Dezhao Lin & Fan Yang & Di Gong & Ruihong Li, 2023. "Bio-inspired magnetic-driven folded diaphragm for biomimetic robot," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. 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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