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A multifunctional soft robotic shape display with high-speed actuation, sensing, and control

Author

Listed:
  • B. K. Johnson

    (University of Colorado Boulder)

  • M. Naris

    (University of Colorado Boulder)

  • V. Sundaram

    (University of Colorado Boulder)

  • A. Volchko

    (University of Colorado Boulder)

  • K. Ly

    (University of Colorado Boulder)

  • S. K. Mitchell

    (University of Colorado Boulder
    Artimus Robotics)

  • E. Acome

    (University of Colorado Boulder
    Artimus Robotics)

  • N. Kellaris

    (University of Colorado Boulder
    Artimus Robotics
    University of Colorado Boulder)

  • C. Keplinger

    (University of Colorado Boulder
    University of Colorado Boulder
    Max Planck Institute for Intelligent Systems)

  • N. Correll

    (University of Colorado Boulder)

  • J. S. Humbert

    (University of Colorado Boulder)

  • M. E. Rentschler

    (University of Colorado Boulder)

Abstract

Shape displays which actively manipulate surface geometry are an expanding robotics domain with applications to haptics, manufacturing, aerodynamics, and more. However, existing displays often lack high-fidelity shape morphing, high-speed deformation, and embedded state sensing, limiting their potential uses. Here, we demonstrate a multifunctional soft shape display driven by a 10 × 10 array of scalable cellular units which combine high-speed electrohydraulic soft actuation, magnetic-based sensing, and control circuitry. We report high-performance reversible shape morphing up to 50 Hz, sensing of surface deformations with 0.1 mm sensitivity and external forces with 50 mN sensitivity in each cell, which we demonstrate across a multitude of applications including user interaction, image display, sensing of object mass, and dynamic manipulation of solids and liquids. This work showcases the rich multifunctionality and high-performance capabilities that arise from tightly-integrating large numbers of electrohydraulic actuators, soft sensors, and controllers at a previously undemonstrated scale in soft robotics.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39842-2
    DOI: 10.1038/s41467-023-39842-2
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    References listed on IDEAS

    as
    1. Xinchen Ni & Haiwen Luan & Jin-Tae Kim & Sam I. Rogge & Yun Bai & Jean Won Kwak & Shangliangzi Liu & Da Som Yang & Shuo Li & Shupeng Li & Zhengwei Li & Yamin Zhang & Changsheng Wu & Xiaoyue Ni & Yongg, 2022. "Soft shape-programmable surfaces by fast electromagnetic actuation of liquid metal networks," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. 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.
    3. Anthony Steed & Eyal Ofek & Mike Sinclair & Mar Gonzalez-Franco, 2021. "A mechatronic shape display based on auxetic materials," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
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    Cited by:

    1. 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.

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