IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-50497-5.html
   My bibliography  Save this article

Adaptive hierarchical origami-based metastructures

Author

Listed:
  • Yanbin Li

    (North Carolina State University)

  • Antonio Lallo

    (North Carolina State University)

  • Junxi Zhu

    (North Carolina State University)

  • Yinding Chi

    (North Carolina State University)

  • Hao Su

    (North Carolina State University
    North Carolina State University
    University of North Carolina at Chapel Hill)

  • Jie Yin

    (North Carolina State University)

Abstract

Shape-morphing capabilities are crucial for enabling multifunctionality in both biological and artificial systems. Various strategies for shape morphing have been proposed for applications in metamaterials and robotics. However, few of these approaches have achieved the ability to seamlessly transform into a multitude of volumetric shapes post-fabrication using a relatively simple actuation and control mechanism. Taking inspiration from thick origami and hierarchies in nature, we present a hierarchical construction method based on polyhedrons to create an extensive library of compact origami metastructures. We show that a single hierarchical origami structure can autonomously adapt to over 103 versatile architectural configurations, achieved with the utilization of fewer than 3 actuation degrees of freedom and employing simple transition kinematics. We uncover the fundamental principles governing theses shape transformation through theoretical models. Furthermore, we also demonstrate the wide-ranging potential applications of these transformable hierarchical structures. These include their uses as untethered and autonomous robotic transformers capable of various gait-shifting and multidirectional locomotion, as well as rapidly self-deployable and self-reconfigurable architecture, exemplifying its scalability up to the meter scale. Lastly, we introduce the concept of multitask reconfigurable and deployable space robots and habitats, showcasing the adaptability and versatility of these metastructures.

Suggested Citation

  • Yanbin Li & Antonio Lallo & Junxi Zhu & Yinding Chi & Hao Su & Jie Yin, 2024. "Adaptive hierarchical origami-based metastructures," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50497-5
    DOI: 10.1038/s41467-024-50497-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-50497-5
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-50497-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yun Bai & Heling Wang & Yeguang Xue & Yuxin Pan & Jin-Tae Kim & Xinchen Ni & Tzu-Li Liu & Yiyuan Yang & Mengdi Han & Yonggang Huang & John A. Rogers & Xiaoyue Ni, 2022. "A dynamically reprogrammable surface with self-evolving shape morphing," Nature, Nature, vol. 609(7928), pages 701-708, September.
    2. Corentin Coulais & Eial Teomy & Koen de Reus & Yair Shokef & Martin van Hecke, 2016. "Combinatorial design of textured mechanical metamaterials," Nature, Nature, vol. 535(7613), pages 529-532, July.
    3. Shuguang Li & Richa Batra & David Brown & Hyun-Dong Chang & Nikhil Ranganathan & Chuck Hoberman & Daniela Rus & Hod Lipson, 2019. "Particle robotics based on statistical mechanics of loosely coupled components," Nature, Nature, vol. 567(7748), pages 361-365, March.
    4. Victor Zykov & Efstathios Mytilinaios & Bryant Adams & Hod Lipson, 2005. "Self-reproducing machines," Nature, Nature, vol. 435(7039), pages 163-164, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jing Wang & Gao Wang & Huaicheng Chen & Yanping Liu & Peilong Wang & Daming Yuan & Xingyu Ma & Xiangyu Xu & Zhengdong Cheng & Baohua Ji & Mingcheng Yang & Jianwei Shuai & Fangfu Ye & Jin Wang & Yang J, 2024. "Robo-Matter towards reconfigurable multifunctional smart materials," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Xiaohao Sun & Liang Yue & Luxia Yu & Connor T. Forte & Connor D. Armstrong & Kun Zhou & Frédéric Demoly & Ruike Renee Zhao & H. Jerry Qi, 2024. "Machine learning-enabled forward prediction and inverse design of 4D-printed active plates," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Federico Pratissoli & Andreagiovanni Reina & Yuri Kaszubowski Lopes & Carlo Pinciroli & Genki Miyauchi & Lorenzo Sabattini & Roderich Groß, 2023. "Coherent movement of error-prone individuals through mechanical coupling," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Minghui Tan & Pan Tian & Qian Zhang & Guiqiang Zhu & Yuchen Liu & Mengjiao Cheng & Feng Shi, 2022. "Self-sorting in macroscopic supramolecular self-assembly via additive effects of capillary and magnetic forces," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    5. Jinhao Zhang & Mi Xiao & Liang Gao & Andrea Alù & Fengwen Wang, 2023. "Self-bridging metamaterials surpassing the theoretical limit of Poisson’s ratios," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    6. Li, Wang & Dai, Haifeng & Zhao, Lingzhi & Zhao, Donghua & Sun, Yongzheng, 2023. "Noise-induced consensus of leader-following multi-agent systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 1-11.
    7. Antoine Aubret & Quentin Martinet & Jeremie Palacci, 2021. "Metamachines of pluripotent colloids," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    8. Yuanxi Zhang & Chengfeng Pan & Pengfei Liu & Lelun Peng & Zhouming Liu & Yuanyuan Li & Qingyuan Wang & Tong Wu & Zhe Li & Carmel Majidi & Lelun Jiang, 2023. "Coaxially printed magnetic mechanical electrical hybrid structures with actuation and sensing functionalities," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    9. Da Zhao & Haobo Luo & Yuxiao Tu & Chongxi Meng & Tin Lun Lam, 2024. "Snail-inspired robotic swarms: a hybrid connector drives collective adaptation in unstructured outdoor environments," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    10. Yingqi Jia & Ke Liu & Xiaojia Shelly Zhang, 2024. "Modulate stress distribution with bio-inspired irregular architected materials towards optimal tissue support," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    11. Siqi An & Xiaowen Li & Zengrong Guo & Yi Huang & Yanlin Zhang & Hanqing Jiang, 2024. "Energy-efficient dynamic 3D metasurfaces via spatiotemporal jamming interleaved assemblies for tactile interfaces," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    12. Zhou, Yongjian & Wang, Tonghao & Lei, Xiaokang & Peng, Xingguang, 2024. "Collective behavior of self-propelled particles with heterogeneity in both dynamics and delays," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    13. 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.
    14. Alexander Ziepke & Ivan Maryshev & Igor S. Aranson & Erwin Frey, 2022. "Multi-scale organization in communicating active matter," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    15. Marcell Tibor Máthé & Hiroya Nishikawa & Fumito Araoka & Antal Jákli & Péter Salamon, 2024. "Electrically activated ferroelectric nematic microrobots," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    16. Jiefeng Sun & Elisha Lerner & Brandon Tighe & Clint Middlemist & Jianguo Zhao, 2023. "Embedded shape morphing for morphologically adaptive robots," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    17. B. K. Johnson & M. Naris & V. Sundaram & A. Volchko & K. Ly & S. K. Mitchell & E. Acome & N. Kellaris & C. Keplinger & N. Correll & J. S. Humbert & M. E. Rentschler, 2023. "A multifunctional soft robotic shape display with high-speed actuation, sensing, and control," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    18. Yangyang Chen & Xiaopeng Li & Colin Scheibner & Vincenzo Vitelli & Guoliang Huang, 2021. "Realization of active metamaterials with odd micropolar elasticity," Nature Communications, Nature, vol. 12(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50497-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.