DocumentCode
2651621
Title
Sensor model for the navigation of underwater vehicles by the electric sense
Author
Jawad, Brahim ; Gossiaux, Pol Bernard ; Boyer, Fréderic ; Lebastard, Vincent ; Gomez, Francesco ; Servagent, Noël ; Bouvier, Stéphane ; Girin, Alexis ; Porez, Mathieu
Author_Institution
IRCCYN, CNRS, Nantes, France
fYear
2010
fDate
14-18 Dec. 2010
Firstpage
879
Lastpage
884
Abstract
We present an analytical model of a sensor for the navigation of underwater vehicles by the electric sense. This model is inspired from the electroreception structure of the electric fish. In our model, that we call the poly-spherical model (PSM), the sensor is composed of n spherical electrodes. Some electrodes play the role of current-emitters whereas others play the role of current-receivers. By imposing values of the electrical potential on each electrode we create an electric field in the vicinity of the sensor. The region where the electric field is created is considered as the bubble of perception of the sensor. Each object that enters this bubble is electrically polarized and creates in return a perturbation. This perturbation induces a variation of the measured current by the sensor. The model is tested on objects for which the expression of the polarizability is known. A unique off-line calibration of the poly-spherical model permits to predict the measured current of a real immersed sensor in an aquarium. Comparisons in a basic scene between the predicted current given by the poly-spherical model and the measured current given by our test bed show a very good agreement, which confirms the interest of using such fast analytical models for the purpose of navigation.
Keywords
electric sensing devices; mobile robots; path planning; remotely operated vehicles; underwater vehicles; PSM; electric field; electric fish; electric sense; electrical potential; electroreception structure; polyspherical model; sensor model; underwater vehicle navigation; Current measurement; Electric potential; Electrodes; Navigation; Resistance; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-9319-7
Type
conf
DOI
10.1109/ROBIO.2010.5723442
Filename
5723442
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