Evidence map›Paper›PMID 40801439›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Bio-Inspired SA-FA Bionic Dual Receptor Electronic Skin for Intelligent Gesture and Material Cognition Systems Enhanced by Static-Dynamic Mutual Interaction.

Hao Li, Hongsen Niu, Hao Kan, Eun-Seong Kim, Nam-Young Kim, Yang Li

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Hao LiSchool of Integrated Circuits, Shandong University, Jinan, 250101, China.
Hongsen NiuShandong Provincial Key Laboratory of Ubiquitous Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, 250022, China.
Hao KanShandong Provincial Key Laboratory of Ubiquitous Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, 250022, China.
Eun-Seong KimLaboratory of Molecular Pathology and Cancer Genomics, Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
Nam-Young KimLaboratory of Molecular Pathology and Cancer Genomics, Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
Yang LiSchool of Integrated Circuits, Shandong University, Jinan, 250101, China.ORCID https://orcid.org/0000-0001-5260-5157

Funding

China Postdoctoral Science Foundation 2024M761140Korea government (MIST) RS-2023-00302751Korea government (MIST) RS-2024-00343686Ministry of Education RS-2018-NR031063National Research Foundation of KoreaShandong Provincial Natural Science Foundation ZR2022QF106Shandong Provincial Natural Science Fund for Excellent Young Scientists Fund Program 2025HWYQ-048Taishan Scholars Project Special Funds tsqn202312035
6 · The paper itself

Abstract

Traditional electronic skins (e-skins) face significant challenges in system integration and practical usability demonstrations, limiting their ability to meet the development demands of robot intellectualization under future artificial intelligence (AI) frameworks. Here, a bionic dual receptor (BDR) e-skin motivated by AI-based hardware-software coordination is proposed, which consists of electrospinning fiber triboelectric unit inspired by fast-adapting receptors and micropyramid ionic hydrogel iontronic unit inspired by slow-adapting receptors. Benefiting from the iontronic effect and micropyramid structure, the iontronic unit yields impressive features: a linear sensitivity of 172 kPa

Indexed as

Artificial IntelligenceBionicsCognitionGesturesRoboticsWearable Electronic DevicesHumanselectronic skinflexible pressure sensortactile perceptiontactile sensingwearable sensing

Identifiers

PMID40801439
PMCPMC12591205

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.