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dc.contributor.authorWang, Ke
dc.contributor.supervisorProf. Khac Duc Doen_US
dc.date.accessioned2018-06-20T07:32:42Z
dc.date.available2018-06-20T07:32:42Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/20.500.11937/68277
dc.description.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.

en_US
dc.publisherCurtin Universityen_US
dc.titleDesign and Implementation of Bio-inspired Underwater Electrosenseen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentMechanical Engineeringen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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