Design and Implementation of Bio-inspired Underwater Electrosense
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-i...
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/68277 |
| _version_ | 1848761790487330816 |
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| author | Wang, Ke |
| author_facet | Wang, Ke |
| author_sort | Wang, Ke |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:37:16Z |
| format | Thesis |
| id | curtin-20.500.11937-68277 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:37:16Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-682772018-06-20T07:32:42Z Design and Implementation of Bio-inspired Underwater Electrosense Wang, Ke 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. 2017 Thesis http://hdl.handle.net/20.500.11937/68277 Curtin University fulltext |
| spellingShingle | Wang, Ke Design and Implementation of Bio-inspired Underwater Electrosense |
| title | Design and Implementation of Bio-inspired Underwater Electrosense |
| title_full | Design and Implementation of Bio-inspired Underwater Electrosense |
| title_fullStr | Design and Implementation of Bio-inspired Underwater Electrosense |
| title_full_unstemmed | Design and Implementation of Bio-inspired Underwater Electrosense |
| title_short | Design and Implementation of Bio-inspired Underwater Electrosense |
| title_sort | design and implementation of bio-inspired underwater electrosense |
| url | http://hdl.handle.net/20.500.11937/68277 |