Evidence map›Paper›PMID 33927390›Full record

ArticleNature materials2021

Elastohydrodynamic friction of robotic and human fingers on soft micropatterned substrates.

Yunhu Peng, Christopher M Serfass, Anzu Kawazoe, Yitian Shao, Kenneth Gutierrez, Catherine N Hill, Veronica J Santos, Yon Visell, Lilian C Hsiao

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Role of wettability, adhesion, and instabilities in transitions during lubricated sliding friction.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Soft matter mechanics of baseball's Rubbing Mud.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. 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

9 authors.

Yunhu PengDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.ORCID http://orcid.org/0000-0002-4933-8198
Christopher M SerfassDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Anzu KawazoeDepartment of Electrical and Computer Engineering, University of California-Santa Barbara, Santa Barbara, CA, USA.
Yitian ShaoDepartment of Electrical and Computer Engineering, University of California-Santa Barbara, Santa Barbara, CA, USA.
Kenneth GutierrezDepartment of Mechanical and Aerospace Engineering, University of California-Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-3150-7643
Catherine N HillDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Veronica J SantosDepartment of Mechanical and Aerospace Engineering, University of California-Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-3684-0733
Yon VisellDepartment of Electrical and Computer Engineering, University of California-Santa Barbara, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0001-6987-1136
Lilian C HsiaoDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. lilian_hsiao@ncsu.edu.ORCID http://orcid.org/0000-0002-4448-7397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frictional sliding between patterned surfaces is of fundamental and practical importance in the haptic engineering of soft materials. In emerging applications such as remote surgery and soft robotics, thin fluid films between solid surfaces lead to a multiphysics coupling between solid deformation and fluid dissipation. Here, we report a scaling law that governs the peak friction values of elastohydrodynamic lubrication on patterned surfaces. These peaks, absent in smooth tribopairs, arise due to a separation of length scales in the lubricant flow. The framework is generated by varying the geometry, elasticity and fluid properties of soft tribopairs and measuring the lubricated friction with a triborheometer. The model correctly predicts the elastohydrodynamic lubrication friction of a bioinspired robotic fingertip and human fingers. Its broad applicability can inform the future design of robotic hands or grippers in realistic conditions, and open up new ways of encoding friction into haptic signals.

Indexed as

RoboticsElasticityFrictionHumansLubrication

Identifiers

PMID33927390

What OpenQuestion holds

Textmetadata
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.