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Electrolytic vascular systems for energy-dense robots

Author

Listed:
  • Cameron A. Aubin

    (Cornell University)

  • Snehashis Choudhury

    (Cornell University)

  • Rhiannon Jerch

    (Cornell University)

  • Lynden A. Archer

    (Cornell University)

  • James H. Pikul

    (University of Pennsylvania)

  • Robert F. Shepherd

    (Cornell University)

Abstract

Modern robots lack the multifunctional interconnected systems found in living organisms and are consequently unable to reproduce their efficiency and autonomy. Energy-storage systems are among the most crucial limitations to robot autonomy, but their size, weight, material and design constraints can be re-examined in the context of multifunctional, bio-inspired applications. Here we present a synthetic energy-dense circulatory system embedded in an untethered, aquatic soft robot. Modelled after redox flow batteries, this synthetic vascular system combines the functions of hydraulic force transmission, actuation and energy storage into a single integrated design that geometrically increases the energy density of the robot to enable operation for long durations (up to 36 hours). The fabrication techniques and flexible materials used in its construction enable the vascular system to be created with complex form factors that continuously deform with the robot’s movement. This use of electrochemical energy storage in hydraulic fluids could facilitate increased energy density, autonomy, efficiency and multifunctionality in future robot designs.

Suggested Citation

  • Cameron A. Aubin & Snehashis Choudhury & Rhiannon Jerch & Lynden A. Archer & James H. Pikul & Robert F. Shepherd, 2019. "Electrolytic vascular systems for energy-dense robots," Nature, Nature, vol. 571(7763), pages 51-57, July.
    • Handle: RePEc:nat:nature:v:571:y:2019:i:7763:d:10.1038_s41586-019-1313-1
    DOI: 10.1038/s41586-019-1313-1
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    Cited by:

    1. Guorui Li & Tuck-Whye Wong & Benjamin Shih & Chunyu Guo & Luwen Wang & Jiaqi Liu & Tao Wang & Xiaobo Liu & Jiayao Yan & Baosheng Wu & Fajun Yu & Yunsai Chen & Yiming Liang & Yaoting Xue & Chengjun Wan, 2023. "Bioinspired soft robots for deep-sea exploration," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Jun Kyu Choe & Junsoo Kim & Hyeonseo Song & Joonbum Bae & Jiyun Kim, 2023. "A soft, self-sensing tensile valve for perceptive soft robots," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

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