Evidence map›Paper›PMID 40834079›Full record

ArticleScience advances2025

Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.

Pinkun Wang, Changchao Zhang, Bo Li, Xiancun Meng, Yuechun Ding, Junqiu Zhang, Shichao Niu, Zhiwu Han, Liwei Lin, Luquan Ren

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Pinkun WangKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.ORCID 0009-0001-7892-3118
Changchao ZhangKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Bo LiKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.ORCID 0000-0002-4839-3224
Xiancun MengKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.ORCID 0009-0000-6261-3150
Yuechun DingKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Junqiu ZhangKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Shichao NiuKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.ORCID 0000-0003-0208-9996
Zhiwu HanKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.ORCID 0000-0003-1069-7035
Liwei LinDepartment of Mechanical Engineering and Berkeley Sensor and Actuator Center, University of California at Berkeley, Berkeley, CA 94720-1740, USA.ORCID 0000-0001-7083-624X
Luquan RenKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechanism of the scorpion, a bioinspired piezoresistive pressure sensor (BPPS) is reported for the synergistic enhancement of sensitivity and linearity at 65.56 millivolts per volt per kilopascal and 0.99934, respectively, in a pressure range from 0 to 500 kilopascals. The BPPS can distinguish laminar, transitional, and turbulent flows as well as identify approaching objects of different shapes with an accuracy exceeding 85.42% by integrating a wavelet transform algorithm and the ResNet18 deep learning network. As a proof of concept, BPPS has been engineered in a hexapod robot to enable near-body flow field sensing for active collision avoidance. This work underscores the potential to leverage key design concepts inspired by living insects for improved sensing performance and offers structural insights for other high-precision sensors.

Indexed as

Artificial IntelligenceBiosensing TechniquesPressureRoboticsScorpionsAlgorithmsAnimalsAutonomous Robots

Identifiers

PMID40834079
PMCPMC12366690

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Registered trials

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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.