Literature DB >> 20061601

Artificial lateral line with biomimetic neuromasts to emulate fish sensing.

Yingchen Yang1, Nam Nguyen, Nannan Chen, Michael Lockwood, Craig Tucker, Huan Hu, Horst Bleckmann, Chang Liu, Douglas L Jones.   

Abstract

Hydrodynamic imaging using the lateral line plays a critical role in fish behavior. To engineer such a biologically inspired sensing system, we developed an artificial lateral line using MEMS (microelectromechanical system) technology and explored its localization capability. Arrays of biomimetic neuromasts constituted an artificial lateral line wrapped around a cylinder. A beamforming algorithm further enabled the artificial lateral line to image real-world hydrodynamic events in a 3D domain. We demonstrate that the artificial lateral line system can accurately localize an artificial dipole source and a natural tail-flicking crayfish under various conditions. The artificial lateral line provides a new sense to man-made underwater vehicles and marine robots so that they can sense like fish.

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Year:  2010        PMID: 20061601     DOI: 10.1088/1748-3182/5/1/016001

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  10 in total

1.  Artificial fish skin of self-powered micro-electromechanical systems hair cells for sensing hydrodynamic flow phenomena.

Authors:  Mohsen Asadnia; Ajay Giri Prakash Kottapalli; Jianmin Miao; Majid Ebrahimi Warkiani; Michael S Triantafyllou
Journal:  J R Soc Interface       Date:  2015-10-06       Impact factor: 4.118

2.  Head width influences flow sensing by the lateral line canal system in fishes.

Authors:  Yuzo R Yanagitsuru; Otar Akanyeti; James C Liao
Journal:  J Exp Biol       Date:  2018-10-29       Impact factor: 3.312

3.  A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow.

Authors:  L D Chambers; O Akanyeti; R Venturelli; J Ježov; J Brown; M Kruusmaa; P Fiorini; W M Megill
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

4.  Determination of object position, vortex shedding frequency and flow velocity using artificial lateral line canals.

Authors:  Adrian Klein; Horst Bleckmann
Journal:  Beilstein J Nanotechnol       Date:  2011-06-06       Impact factor: 3.649

Review 5.  A Review of Artificial Lateral Line in Sensor Fabrication and Bionic Applications for Robot Fish.

Authors:  Guijie Liu; Anyi Wang; Xinbao Wang; Peng Liu
Journal:  Appl Bionics Biomech       Date:  2016-12-27       Impact factor: 1.781

6.  Research on Flow Field Perception Based on Artificial Lateral Line Sensor System.

Authors:  Guijie Liu; Mengmeng Wang; Anyi Wang; Shirui Wang; Tingting Yang; Reza Malekian; Zhixiong Li
Journal:  Sensors (Basel)       Date:  2018-03-11       Impact factor: 3.576

7.  Using fish lateral line sensing to improve seismic acquisition and processing.

Authors:  Franscisco Wilton de Freitas Silva; Sérgio Luiz Eduardo Ferreira da Silva; Marcos Vinícius Cândido Henriques; Gilberto Corso
Journal:  PLoS One       Date:  2019-04-16       Impact factor: 3.240

8.  Hydrodynamical Fingerprint of a Neighbour in a Fish Lateral Line.

Authors:  Gen Li; Dmitry Kolomenskiy; Hao Liu; Benjamin Thiria; Ramiro Godoy-Diana
Journal:  Front Robot AI       Date:  2022-02-11

9.  From Biological Cilia to Artificial Flow Sensors: Biomimetic Soft Polymer Nanosensors with High Sensing Performance.

Authors:  Mohsen Asadnia; Ajay Giri Prakash Kottapalli; K Domenica Karavitaki; Majid Ebrahimi Warkiani; Jianmin Miao; David P Corey; Michael Triantafyllou
Journal:  Sci Rep       Date:  2016-09-13       Impact factor: 4.379

10.  Three-dimensional multi-source localization of underwater objects using convolutional neural networks for artificial lateral lines.

Authors:  Ben J Wolf; Jos van de Wolfshaar; Sietse M van Netten
Journal:  J R Soc Interface       Date:  2020-01-22       Impact factor: 4.118

  10 in total

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