Research on Target Localization Method for Underwater Robot Based on the Bionic Lateral Line System of Fish.

Xinghua Lin, Enyu Yang, Guozhen Zan, Hang Xu, Hao Wang, Peilong Sun

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In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. 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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5 · Who and what money

Authors and funding

6 authors.

Xinghua LinSchool of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

Enyu YangSchool of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

Guozhen ZanSchool of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

Hang XuSchool of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

Hao WangSchool of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

Peilong SunSchool of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

Funding

National Natural Science Foundation of China 62301360

6 · The paper itself

Abstract

This paper is based on the fish lateral line sensing mechanism and aims to determine the coupling relationship between the flow field sensing signal and target source position information. Firstly, according to the flow field distribution characteristics of the target source, the equivalent multipole model of the flow field disturbance during the underwater motion of the SUBOFF model is constructed, and then the target localization function based on the least squares method is established according to the theory of potential flow, and the residual function of the target localization is solved optimally using the quasi-Newton method (QN) to obtain the estimated position of the target source. On this basis, a curved bionic lateral line sensing array is constructed on the surface of a robotic fish, and the estimated location of the target source is obtained. The curvilinear bionic lateral line sensing array is constructed on the surface of the robotic fish, and the effectiveness and robustness of the above localization methods are analysed to validate whether the fish lateral line uses the pressure change to sense the underwater target.

Indexed as

bionic lateral lineflow field sensingtarget localizationtracking navigationunderwater robot

Identifiers

PMID41002827

DOI10.3390/biomimetics10090593

PMCPMC12467971

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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.