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Science Robotics
Article
Data sources: UnpayWall
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Science Robotics
Article . 2019 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2019
Data sources: DBLP
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A soft matter computer for soft robots

Authors: Martin Stephen Garrad; Gabor Soter; Andrew Conn 0002; Helmut Hauser; Jonathan Rossiter;

A soft matter computer for soft robots

Abstract

Conductive fluid receptors can be used to create soft matter computers that are suitable for the control of soft robots.

Country
United Kingdom
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Keywords

name=Tactile Action Perception, /dk/atira/pure/core/keywords/tactile_action_perception, /dk/atira/pure/core/keywords/tactile_action_perception; name=Tactile Action Perception, 004

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    87
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
87
Top 1%
Top 10%
Top 1%
Green
bronze