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Hydraulically amplified self-healing electrostatic actuators with muscle-like performance

Overview of attention for article published in Science, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Citations

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Title
Hydraulically amplified self-healing electrostatic actuators with muscle-like performance
Published in
Science, January 2018
DOI 10.1126/science.aao6139
Pubmed ID
Authors

E Acome, S K Mitchell, T G Morrissey, M B Emmett, C Benjamin, M King, M Radakovitz, C Keplinger

Abstract

Existing soft actuators have persistent challenges that restrain the potential of soft robotics, highlighting a need for soft transducers that are powerful, high-speed, efficient, and robust. We describe a class of soft actuators, termed hydraulically amplified self-healing electrostatic (HASEL) actuators, which harness a mechanism that couples electrostatic and hydraulic forces to achieve a variety of actuation modes. We introduce prototypical designs of HASEL actuators and demonstrate their robust, muscle-like performance as well as their ability to repeatedly self-heal after dielectric breakdown-all using widely available materials and common fabrication techniques. A soft gripper handling delicate objects and a self-sensing artificial muscle powering a robotic arm illustrate the wide potential of HASEL actuators for next-generation soft robotic devices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 809 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 809 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 189 23%
Student > Master 96 12%
Researcher 95 12%
Student > Bachelor 59 7%
Student > Doctoral Student 48 6%
Other 94 12%
Unknown 228 28%
Readers by discipline Count As %
Engineering 342 42%
Materials Science 76 9%
Chemistry 40 5%
Physics and Astronomy 15 2%
Chemical Engineering 13 2%
Other 66 8%
Unknown 257 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 384. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2024.
All research outputs
#81,451
of 25,692,343 outputs
Outputs from Science
#2,830
of 83,230 outputs
Outputs of similar age
#1,929
of 452,238 outputs
Outputs of similar age from Science
#92
of 1,179 outputs
Altmetric has tracked 25,692,343 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,230 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.8. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 452,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,179 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.