Evidence map›Paper›PMID 39147776›Full record

ArticleNature communications2024

Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot.

Shuai Chen, Zhongliang Zhou, Kunqi Hou, Xihu Wu, Qiang He, Cindy G Tang, Ting Li, Xiujuan Zhang, Jiansheng Jie, Zhiyi Gao and 2 more

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 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
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  7. Review
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  11. The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

12 authors.

Shuai ChenSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-8562-5784
Zhongliang ZhouSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
Kunqi HouSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
Xihu WuSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
Qiang HeSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-3555-1852
Cindy G TangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-8799-0873
Ting LiSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
Xiujuan ZhangInstitute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, PR China.ORCID 0000-0002-3244-9449
Jiansheng JieInstitute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, PR China.ORCID 0000-0002-2230-4289
Zhiyi GaoCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, PR China.
Nripan MathewsEnergy Research Institute @ NTU, Nanyang Technological University, Singapore, Singapore. nripan@ntu.edu.sg.ORCID 0000-0001-5234-0822
Wei Lin LeongSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore. wlleong@ntu.edu.sg.ORCID 0000-0002-1402-0083

Funding

Agency for Science, Technology and Research (A*STAR) National Robotics Programme (W1925d0106)Ministry of Education - Singapore (MOE) AcRFTier 1 Grant No. (RG118/21)National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRF-CRP25-2020-0002
6 · The paper itself

Abstract

The emulation of tactile sensory nerves to achieve advanced sensory functions in robotics with artificial intelligence is of great interest. However, such devices remain bulky and lack reliable competence to functionalize further synaptic devices with proprioceptive feedback. Here, we report an artificial organic afferent nerve with low operating bias (-0.6 V) achieved by integrating a pressure-activated organic electrochemical synaptic transistor and artificial mechanoreceptors. The dendritic integration function for neurorobotics is achieved to perceive directional movement of object, further reducing the control complexity by exploiting the distributed and parallel networks. An intelligent robot assembled with artificial afferent nerve, coupled with a closed-loop feedback program is demonstrated to rapidly implement slip recognition and prevention actions upon occurrence of object slippage. The spatiotemporal features of tactile patterns are well differentiated with a high recognition accuracy after processing spike-encoded signals with deep learning model. This work represents a breakthrough in mimicking synaptic behaviors, which is essential for next-generation intelligent neurorobotics and low-power biomimetic electronics.

Indexed as

MechanoreceptorsRoboticsTouchArtificial IntelligenceBiomimeticsDeep LearningFeedback, SensoryHumansNeurons, AfferentTransistors, Electronic

Identifiers

PMID39147776
PMCPMC11327256

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.