Evidence map›Paper›PMID 34597130›Full record

ArticleScience advances2021

Reprogrammable soft actuation and shape-shifting via tensile jamming.

Bilige Yang, Robert Baines, Dylan Shah, Sreekalyan Patiballa, Eugene Thomas, Madhusudhan Venkadesan, Rebecca Kramer-Bottiglio

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Soft robotic devices for cardiovascular medicine.Nature reviews. Cardiology · 2026
    Review
  2. Architected Load Paths Enable Stiffening and Motion Programming in Soft Pneumatic Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Reprogrammable Phase-Transition Composites for Adaptive Dynamic Shape Morphing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Jamming with magnetic composites.Nature communications · 2025
    Article
  9. Article
  10. Encoding Desired Deformation Profiles in Endoscope-Like Soft Robots.IEEE transactions on medical robotics and bionics · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Hybrid-Driven Origami Gripper with Variable Stiffness and Finger Length.Cyborg and bionic systems (Washington, D.C.) · 2024
    Article
  16. Article
  17. 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

7 authors.

Bilige YangSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.ORCID 0000-0003-2721-6832
Robert BainesSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.ORCID 0000-0002-9023-1536
Dylan ShahSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.ORCID 0000-0003-3943-6170
Sreekalyan PatiballaSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.ORCID 0000-0002-0107-4912
Eugene ThomasSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.
Madhusudhan VenkadesanSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.ORCID 0000-0001-5754-7478
Rebecca Kramer-BottiglioSchool of Engineering & Applied Science, Yale University, 10 Hillhouse Avenue, New Haven, CT 06520, USA.ORCID 0000-0003-2324-8124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging generation of robots composed of soft materials strives to match biological motor adaptation skills via shape-shifting. Soft robots often harness volumetric expansion directed by strain limiters to deform in complex ways. Traditionally, strain limiters have been inert materials embedded within a system to prescribe a single deformation. Under changing task demands, a fixed deformation mode limits adaptability. Recent technologies for on-demand reprogrammable deformation of soft bodies, including thermally activated variable stiffness materials and jamming systems, presently suffer from long actuation times or introduce unwanted bending stiffness. We present fibers that switch tensile stiffness via jamming of segmented elastic fibrils. When jammed, tensile stiffness increases more than 20× in less than 0.1 s, but bending stiffness increases only 2×. When adhered to an inflating body, jamming fibers locally limit surface tensile strains, unlocking myriad programmable deformations. The proposed jamming technology is scalable, enabling adaptive behaviors in emerging robotic materials that interact with unstructured environments.

Identifiers

PMID34597130
PMCPMC11093226

What OpenQuestion holds

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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.