Evidence map›Paper›PMID 39019858›Full record

ArticleNature communications2024

Bionic e-skin with precise multi-directional droplet sliding sensing for enhanced robotic perception.

Yunlong Xu, Zhongda Sun, Zhiqing Bai, Hua Shen, Run Wen, Fumei Wang, Guangbiao Xu, Chengkuo Lee

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Recent Advances in Reactive Microdroplets for Clean Water and Energy.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  5. Article
  6. Article
  7. 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.

Yunlong XuKey Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.ORCID 0000-0003-3285-103X
Zhongda SunDepartment of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore.
Zhiqing Bai *Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China. zqbai2023@sinano.ac.cn.ORCID 0009-0008-3864-3286
Hua ShenKey Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
Run WenKey Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
Fumei WangKey Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
Guangbiao Xu *Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China. guangbiao_xu@dhu.edu.cn.ORCID 0000-0002-5981-6579
Chengkuo Lee *Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore. elelc@nus.edu.sg.ORCID 0000-0002-8886-3649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic skins with deep and comprehensive liquid information detection are desired to endow intelligent robotic devices with augmented perception and autonomous regulation in common droplet environments. At present, one technical limitation of electronic skins is the inability to perceive the liquid sliding information as realistically as humans and give feedback in time. To this critical challenge, in this work, a self-powered bionic droplet electronic skin is proposed by constructing an ingenious co-layer interlaced electrode network and using an overpass connection method. The bionic skin is used for droplet environment reconnaissance and converts various dynamic droplet sliding behaviors into electrical signals based on triboelectricity. More importantly, the two-dimensional sliding behavior of liquid droplets is comprehensively perceived by the e-skin and visually fed back in real-time on an indicator. Furthermore, the flow direction warning and intelligent closed-loop control of water leakage are also achieved by this e-skin, achieving the effect of human neuromodulation. This strategy compensates for the limitations of e-skin sensing droplets and greatly narrows the gap between artificial e-skins and human skins in perceiving functions.

Indexed as

BionicsRoboticsElectrodesEquipment DesignHumansSkinWearable Electronic Devices

Identifiers

PMID39019858
PMCPMC11255283

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.