Evidence map›Paper›PMID 40043132›Full record

ArticleScience advances2025

A natural biomimetic prosthetic hand with neuromorphic tactile sensing for precise and compliant grasping.

Sriramana Sankar, Wen-Yu Cheng, Jinghua Zhang, Ariel Slepyan, Mark M Iskarous, Rebecca J Greene, Rene DeBrabander, Junjun Chen, Arnav Gupta, Nitish V Thakor

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Multisensory electronic skin with decoupled pressure-temperature-sensing capabilities for similar object recognition.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. An event-based opto-tactile skin.Frontiers in neuroscience · 2025
    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

10 authors.

Sriramana SankarDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-0531-8494
Wen-Yu ChengDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA.ORCID 0009-0006-9809-9556
Jinghua ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Ariel SlepyanDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0009-0001-5265-7421
Mark M IskarousDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-4208-3943
Rebecca J GreeneDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-1060-4743
Rene DeBrabanderDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0009-0000-8325-1216
Junjun ChenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-3783-6085
Arnav GuptaDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA.ORCID 0009-0003-4818-2130
Nitish V ThakorDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-9981-9395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human hand's hybrid structure combines soft and rigid anatomy to provide strength and compliance for versatile object grasping. Tactile sensing by skin mechanoreceptors enables precise and dynamic manipulation. Attempts to replicate the human hand have fallen short of a true biomimetic hybrid robotic hand with tactile sensing. We introduce a natural prosthetic hand composed of soft robotic joints and a rigid endoskeleton with three independent neuromorphic tactile sensing layers inspired by human physiology. Our innovative design capitalizes on the strengths of both soft and rigid robots, enabling the hybrid robotic hand to compliantly grasp numerous everyday objects of varying surface textures, weight, and compliance while differentiating them with 99.69% average classification accuracy. The hybrid robotic hand with multilayered tactile sensing achieved 98.38% average classification accuracy in a texture discrimination task, surpassing soft robotic and rigid prosthetic fingers. Controlled via electromyography, our transformative prosthetic hand allows individuals with upper-limb loss to grasp compliant objects with precise surface texture detection.

Indexed as

Artificial LimbsBiomimeticsHandHand StrengthTouchElectromyographyHumansProsthesis DesignRobotics

Identifiers

PMID40043132
PMCPMC11881920

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.