Abstract
For autonomy in underwater robotics it is essential to develop context-driven controllers, capable of leading from perception to action without human intervention. One of the key challenges in this area is to extract reliable information from noisy sensor signals in a fast and efficient manner. In this context, we present a novelty-detection mechanism for lateral line sensing; this mechanism is meant to highlight interesting stimuli and separate them from the background, by bringing into focus new frequencies appearing in the environment. The method is fast and computationally cheap; additionally, it paves the way for characterization and classification of detected novelties. We present a testing framework to explore how to integrate frequency-related, temporal and spatial information and we demonstrate the viability of this approach in a multiple dipole-source environment.
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References
Fernandez, V.I., Hou, S.M., Hover, F.S., Lang, J.H., Triantafyllou, M.S.: Lateral-Line Inspired MEMS-Array Pressure Sensing for Passive Underwater Navigation. Technical Report, MIT, Cambridge (2007)
Yang, Y., Chen, J., Engel, J., Pandya, S., Chen, N., Tucker, C., Coombs, S., Jones, D.L., Liu, C.: Distant touch hydrodynamic imaging with an artificial lateral line. In: Proceedings of the National Academy of Sciences of the United States of America (2006)
Martiny, N., Sosnowski, S., Khnlenz, K., Hirche, S., Nie, Y., Franosch, J.P., van Hemmen, J.L.: Design of a Lateral-Line Sensor for an Autonomous Underwater Vehicle. In: Preprints of the 8th IFAC International Conference on Manoeuvring and Control of Marine Craft, Brazil, pp. 292–297 (2009)
Franosch, J.P., Sichert, A.B., Suttner, M.D., van Hemmen, J.L.: Estimating position and velocity of a submerged moving object by the clawed frog Xenopus and by fish—A cybernetic approach. Journal of Biological Cybernetics 83, 231–238 (2005)
Blake, B.C., van Netten, S.M.: Source location encoding in the fish lateral line canal. The Journal of Experimental Biology 209, 1548–1559 (2006)
Goulet, J., Engelmann, J., Chagnaud, B.P., Franosch, J.P., Suttner, M.D., van Hemmen, J.L.: Object localization through the lateral line system of fish: theory and experiment. Journal of Computational Physiology 194, 1–17 (2008)
Coombs, S., Patton, P.: Lateral line stimulation patterns and prey orienting behaviour in the Lake Michigan mottled sculpin (Cottus bairdi). Journal of Computational Physiology 195, 279–297 (2009)
Sichert, A.B., Bamler, R., van Hemmen, J.L.: Hydrodynamic object recognition. Physical Review Letters (2009)
Kalmijin, A.J.: Hydrodynamic and acoustic field detection. In: Atema, J., Fay, R.R., Popper, A.N., Tavolga, W.N. (eds.) Sensory Biology of Aquatic Animals, pp. 83–130. Springer, New York (1988)
Yang, Y., Nguyen, N., Chen, N., Lockwood, M., Tucker, C., Hu, H., Bleckmann, H., Liu, C., Jones, D.L.: Artificial lateral line with biomimetic neuromasts to emulate fish sensing. Bioinspiration and Biomimetics 5(1), 016001 (2010)
Liao, J.C., Beal, D.N., Lauder, G.V., Triantafyllou, M.S.: The Kármán gait: novel body kinematics of rainbow trout swimming in a vortex street. The Journal of Experimental Biology 206, 1059–1073 (2003)
Roberts, B.L., Meredith, G.E.: The efferent system. In: Coombs, S., Görner, P., Münz, H. (eds.) In the Mechanosensory Lateral Line: Neurobiology and Evolution, pp. 445–460. Springer, Heidelberg (1989)
Coombs, S.: Smart skins: Information processing by lateral line flow sensors. Autonomous Robots 11, 255–261 (2001)
McHenry, M.J., Strother, J.A., van Netten, S.M.: Mechanical filtering by the boundary layer and fluid-structure interaction in the superficial neuromast of the fish lateral line system. Journal of Computational Physiology 194, 795–810
van Netten, S.M.: Hydrodynamic detection by cupulae in a lateral line canal: functional relations between physics and physiology. Biol. Cybern. 94, 67–85
Lamb, H.: Hydrodynamics, 6th edn. Cambridge University Press, Cambridge (1932)
Wu, T.Y.: Introduction to the scaling of aquatic animal locomotion. In: Pedley, T.J. (ed.) Scale effects in animal locomotion, pp. 203–232. Academic Press, London (1977)
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Akanyeti, O., Fiazza, C., Fiorini, P. (2010). Attentional Mechanisms for Lateral Line Sensing through Spectral Analysis. In: Doncieux, S., Girard, B., Guillot, A., Hallam, J., Meyer, JA., Mouret, JB. (eds) From Animals to Animats 11. SAB 2010. Lecture Notes in Computer Science(), vol 6226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15193-4_24
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DOI: https://doi.org/10.1007/978-3-642-15193-4_24
Publisher Name: Springer, Berlin, Heidelberg
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