Electrolytic vascular systems for energy-dense robots
Cameron A. Aubin,
Snehashis Choudhury,
Rhiannon Jerch,
Lynden A. Archer,
James H. Pikul and
Robert F. Shepherd ()
Additional contact information
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
Nature, 2019, vol. 571, issue 7763, 51-57
Abstract:
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.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.nature.com/articles/s41586-019-1313-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:571:y:2019:i:7763:d:10.1038_s41586-019-1313-1
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/s41586-019-1313-1
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().