Evidence map›Paper›PMID 41428887›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

A neuromorphic robotic electronic skin with active pain and injury perception.

Yuyu Gao, Jianpeng Zhang, Hehua Zhang, Lung Chow, Guangyao Zhao, Guihuan Guo, Chun Ki Yiu, Binbin Zhang, Ya Huang, Jingkun Zhou and 11 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. Review
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

21 authors.

Yuyu Gao *Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0000-0002-2000-5410
Jianpeng Zhang *Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Hehua Zhang *Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0009-0001-0421-7237
Lung ChowDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0000-0001-5670-1031
Guangyao ZhaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Guihuan GuoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Chun Ki YiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Binbin ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Ya HuangState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, China.ORCID 0000-0002-0965-8226
Jingkun ZhouDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0000-0001-5394-4388
Qiang ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0000-0002-2707-0258
Tao HuangDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0009-0001-6310-2894
Yuan GuoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Jian LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Jiyu LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Zhenlin ChenDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Zhenyu LiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0009-0003-0345-0226
Yuze QiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Chuanfei GuoDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-4513-3117
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID 0000-0003-0522-1171

Funding

AI-based 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering Project 2.2City University of Hong Kong (CityU) 9220138 and 9220144Innovation and Technology Fund of Innovation and Technology of China ITS/119/22National Key R&D Program of China 2024YFB4707503Research Grants Council of the Hong Kong Special Administrative Region 11213721 11215722 11211523 RFS2324-1S03 C7005-23YShenzhen Science and Technology Innovation Commission SGDX20220530111401011The Foundation of National Natural Science Foundation of China 61421002The Nano & Material Technology Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT RS-2024-00411904
6 · The paper itself

Abstract

Humanoid robots with advanced sensory capabilities are increasingly demanded for empathetic, close-contact interactions with humans. Electronic skin (E-skin) is a key enabling technology for such tactile perception. However, current E-skins are limited to basic tactile sensing with simple circuit architecture. Here, we introduce a neuromorphic robotic e-skin (NRE-skin) that not only provides fundamental tactile sensing but also integrates advanced features, such as active pain and injury detection. The NRE-skin encodes dynamic tactile stimuli into neural-like pulse trains and features active pain detection that triggers protective reflexes. Additionally, its injury sensing and modular design enable precise localization of damaged areas and rapid replacement of affected skin. By emulating human sensory and protective systems, the NRE-skin facilitates more natural and safer human-robot interactions.

Indexed as

PainRoboticsSkinTouch PerceptionWearable Electronic DevicesEquipment DesignHumansTouchelectronic skinhumanoid robotneuromimetic tactilepain and injury sensingrobotic skin

Identifiers

PMID41428887
PMCPMC12772184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.