Calorimetric differential pressure sensor with high sensitivity for hydrodynamic perception.

Yudong Cao, Zhiqiang Ma, Hui Kang, Weitai Zhou, Xiaochang Yang, Hong Ye, Xingxu Zhang, Jun Cai, Yonggang Jiang

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Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yudong CaoInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Zhiqiang MaInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Hui KangInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Weitai ZhouInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Xiaochang YangInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Hong YeInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Xingxu ZhangMinistry of Education Key Laboratory of Micro/Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China.

Jun CaiInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

Yonggang JiangInsitute of Bionic and Micro-nano Systems, School of Mechanical Engineering and Automation, Beihang University, Beijing, China. jiangyg@buaa.edu.cn.ORCID http://orcid.org/0000-0003-1979-996X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate perception of hydrodynamic information is crucial for intelligent navigation and control of underwater robotics in challenging underwater environments. Current diaphragm-based differential pressure sensors are generally constrained by limited resolution for hydrodynamic perception. Here, we present a high-sensitivity calorimetric differential pressure sensor featured with precisely designed calorimetric components located on cantilever beams. The proposed sensor achieves an impressive underwater differential pressure resolution of 18.9 mPa and a repeatability standard deviation of 0.38%. By integrating a sensor array consisting of three such sensors into an underwater robotic model, the velocity and yaw angle were estimated simultaneously with average solution errors of 2.9 mm·s

Identifiers

PMID42020363

DOI10.1038/s41378-026-01270-9

PMCPMC13103352

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LicenceCC BY-NC-ND

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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.