Evidence map›Paper›PMID 37402707›Full record

ArticleNature communications2023

A soft, self-sensing tensile valve for perceptive soft robots.

Jun Kyu Choe, Junsoo Kim, Hyeonseo Song, Joonbum Bae, Jiyun Kim

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  4. Review
  5. Embodying Control in Soft Multistable Robots from Morphofunctional Co-design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Multifunctional Ionene Liquid Crystal Elastomers.ACS applied materials & interfaces · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Frequency-Controlled Fluidic Oscillators for Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jun Kyu Choe *Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.ORCID http://orcid.org/0000-0002-5656-701X
Junsoo Kim *Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.ORCID http://orcid.org/0000-0001-9692-8142
Hyeonseo SongDepartment of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Joonbum BaeDepartment of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. jbbae@unist.ac.kr.ORCID http://orcid.org/0000-0001-7030-2184
Jiyun KimDepartment of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. jiyunkim@unist.ac.kr.ORCID http://orcid.org/0000-0001-9756-7254

Funding

National Research Foundation of Korea (NRF) 2017K1A4A3015437National Research Foundation of Korea (NRF) NRF-2020R1A2C2102842National Research Foundation of Korea (NRF) NRF-2021R1A4A3033149
6 · The paper itself

Abstract

Soft inflatable robots are a promising paradigm for applications that benefit from their inherent safety and adaptability. However, for perception, complex connections of rigid electronics both in hardware and software remain the mainstay. Although recent efforts have created soft analogs of individual rigid components, the integration of sensing and control systems is challenging to achieve without compromising the complete softness, form factor, or capabilities. Here, we report a soft self-sensing tensile valve that integrates the functional capabilities of sensors and control valves to directly transform applied tensile strain into distinctive steady-state output pressure states using only a single, constant pressure source. By harnessing a unique mechanism, "helical pinching", we derive physical sharing of both sensing and control valve structures, achieving all-in-one integration in a compact form factor. We demonstrate programmability and applicability of our platform, illustrating a pathway towards fully soft, electronics-free, untethered, and autonomous robotic systems.

Identifiers

PMID37402707
PMCPMC10319868

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.