Abstract
In this article, we propose a solution to the underwater exploration of objects using a new sensor inspired from the electric fish. The solution is free of any model and is just based on the combination of elementary behaviors, each of these behaviors being achieved through direct feedback of the electric measurements. The solution is robust, cheap and easy to implement. After, stating and interpreting it, the article ends with a few experimental results consisting in exploring small and large unknown objects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lissmann, H.W., Machin, K.E.: The mechanism of object location in gymnarchus niloticus and similar fish. The Journal of Experimental Biology 35, 451–486 (1958)
Solberg, J., Lynch, K., MacIver, M.: Active electrolocation for underwater target localization. The International Journal of Robotics Research 27, 529–548 (2008)
The angels project (2009), http://www.theangelsproject.eu
Solberg, J.R., Lynch, K.M., MacIver, M.A.: Robotic electrolocation: Active underwater target localization. In: International Conference on Robotics and Automation, pp. 4879–4886 (2007)
Jakson, J.D.: Classical Electrodynamics, 3rd edn. John Wiley and Sons (1999)
Boyer, F., Gossiaux, P., Jawad, B., Lebastard, V., Porez, M.: Model for a sensor bio-inspired by electric fish. IEEE Transactions on Robotics 28(2), 492–505 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Boyer, F., Lebastard, V. (2012). Exploration of Objects by an Underwater Robot with Electric Sense. In: Prescott, T.J., Lepora, N.F., Mura, A., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2012. Lecture Notes in Computer Science(), vol 7375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31525-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-31525-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31524-4
Online ISBN: 978-3-642-31525-1
eBook Packages: Computer ScienceComputer Science (R0)