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    Design and Implementation of Bio-inspired Underwater Electrosense

    WANG K 2017.pdf (13.86Mb)
    Access Status
    Open access
    Authors
    Wang, Ke
    Date
    2017
    Supervisor
    Prof. Khac Duc Do
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/68277
    Collection
    • Curtin Theses
    Abstract

    Underwater electrosense, manipulating underwater electric field for sensing purpose, is a growing technology bio-inspired by weakly electric fish that can navigate in dark or cluttered water. We studied its theoretical foundations and developed sophisticated sensing algorithms including some first-introduced techniques such as discrete dipole approximation (DDA) and convolutional neural networks (CNN), which were tested and validated by simulation and a planar sensor prototype. This work pave a solid way to applications on practical underwater robots.

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