Evidence map›Paper›PMID 35994641›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Logic-enabled textiles.

Anoop Rajappan, Barclay Jumet, Rachel A Shveda, Colter J Decker, Zhen Liu, Te Faye Yap, Vanessa Sanchez, Daniel J Preston

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Vacuum-Laser Fabrication of Programmable Soft Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Compliant Polymeric Sheet-Based Heat Exchangers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Frequency-Controlled Fluidic Oscillators for Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  13. Article
  14. Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Intelligent electroactive material systems with self-adaptive mechanical memory and sequential logic.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Encoded sewing soft textile robots.Science advances · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anoop RajappanDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0002-6843-509X
Barclay JumetDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0003-1422-5166
Rachel A ShvedaDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0003-4902-9704
Colter J DeckerDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0002-3458-2892
Zhen LiuDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0002-1089-5982
Te Faye YapDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0001-6387-0837
Vanessa SanchezJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-7859-7463
Daniel J PrestonDepartment of Mechanical Engineering, Rice University, Houston, TX 77005.ORCID 0000-0002-0096-0285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a viable sheet-based logic architecture that can be implemented using conventional fabric materials and textile manufacturing processes. Here, we develop a fully textile platform for embedding pneumatic digital logic in wearable devices. Our logic-enabled textiles support combinational and sequential logic functions, onboard memory storage, user interaction, and direct interfacing with pneumatic actuators. In addition, they are designed to be lightweight, easily integrable into regular clothing, made using scalable fabrication techniques, and durable enough to withstand everyday use. We demonstrate a textile computer capable of input-driven digital logic for controlling untethered wearable robots that assist users with functional limitations. Our logic platform will facilitate the emergence of future wearables powered by embedded fluidic logic that fully leverage the innate advantages of their textile construction.

Indexed as

RoboticsTextile IndustryTextilesWearable Electronic DevicesBiotechnologyLogicassistive devicesfluidic logicinformation storagelogic gateswearable robots

Identifiers

PMID35994641
PMCPMC9436326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.