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Soft robotics: a bioinspired evolution in robotics

Overview of attention for article published in Trends in Biotechnology, April 2013
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
5 news outlets
twitter
6 X users
patent
3 patents
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
1587 Dimensions

Readers on

mendeley
1944 Mendeley
citeulike
2 CiteULike
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Title
Soft robotics: a bioinspired evolution in robotics
Published in
Trends in Biotechnology, April 2013
DOI 10.1016/j.tibtech.2013.03.002
Pubmed ID
Authors

Sangbae Kim, Cecilia Laschi, Barry Trimmer

Abstract

Animals exploit soft structures to move effectively in complex natural environments. These capabilities have inspired robotic engineers to incorporate soft technologies into their designs. The goal is to endow robots with new, bioinspired capabilities that permit adaptive, flexible interactions with unpredictable environments. Here, we review emerging soft-bodied robotic systems, and in particular recent developments inspired by soft-bodied animals. Incorporating soft technologies can potentially reduce the mechanical and algorithmic complexity involved in robot design. Incorporating soft technologies will also expedite the evolution of robots that can safely interact with humans and natural environments. Finally, soft robotics technology can be combined with tissue engineering to create hybrid systems for medical applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 1,944 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 <1%
United Kingdom 5 <1%
Netherlands 3 <1%
Germany 3 <1%
Switzerland 2 <1%
France 2 <1%
Austria 2 <1%
Spain 2 <1%
Japan 2 <1%
Other 7 <1%
Unknown 1908 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 453 23%
Student > Master 321 17%
Student > Bachelor 208 11%
Researcher 180 9%
Student > Doctoral Student 104 5%
Other 216 11%
Unknown 462 24%
Readers by discipline Count As %
Engineering 968 50%
Materials Science 109 6%
Computer Science 70 4%
Agricultural and Biological Sciences 45 2%
Chemistry 44 2%
Other 180 9%
Unknown 528 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 06 December 2023.
All research outputs
#779,909
of 25,371,288 outputs
Outputs from Trends in Biotechnology
#66
of 2,856 outputs
Outputs of similar age
#5,428
of 211,569 outputs
Outputs of similar age from Trends in Biotechnology
#3
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,856 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 97% 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 211,569 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 97% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.