Abstract
Animals, e.g., rodents can detect multiple information with their vibrissae. Among other things, the vibrissae can be used to detect information about a surface texture by a tactile stimuli. Inspired by the natural example of mystacial vibrissae, an artificial tactile sensor is designed. To identify the relation between measured signal and surface texture, a simulation respecting a quasi-static sensor displacement is performed. The sensor is modeled as an one-side clamped Euler-Bernoulli whose surface contact is described within the limits of Coulomb’s law of friction. Gathering the support reactions, the friction coefficient between beam and surface can be determined. The theoretical model is verified by an experiment.
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References
Arabzadeh, E., Zorzin, E., et al.: Neuronal encoding of texture in the whisker sensory pathway. PLoS Biol. 3, e17 (2005)
Boubenec, Y., Claverie, L.N., et al.: An amplitude modulation/demodulation scheme for whisker-based texture perception. J. Neurosci. 34(33), 10832–10843 (2014)
Brecht, M., Preilowski, B., et al.: Functional architecture of the mystacial vibrissae. Behav. Brain Res. 84(1–2), 81–97 (1997)
Carvell, G.E., Simons, D.J.: Biometric analyses of vibrissal tactile discrimination in the rat. J. Neurosci. 10(8), 2638–2648 (1990)
Dörfl, J.: The musculature of the mystacial vibrissae of the white mouse. J. Anat. 135(1), 147–154 (1982)
Quist, B.W., Hartmann, M.J.Z., et al.: Modeling forces and moments at the base of a rat vibrissa during noncontact whisking and whisking against an object. J. Neurosci. 34(30), 9828–9844 (2014)
Rice, F.L., Mance, A., et al.: A comparative light microscopic analysis of the sensory innervation of the mystacial pad. I. Innervation of vibrissal follicle-sinus complexes. J. Comp. Neurol. 252(2), 154–174 (1986)
Scharff, M., Behn, C., et al.: Towards the development of tactile sensors for surface texture detection. In: Martin, A., Gonçalves, G., et al. (eds.) Proceedings of the 5th International Conference on Intelligent Systems and Applications (INTELLI). Barcelona, Spain, 18–22 Feb (2016) (ThinkMind)
Scharff, M., Alencastre, J.H., et al.: Investigations on the mechanical relevance of prominent vibrissa features for surface texture detection. In: Scharff, P., Weber, C., et al. (eds.) Engineering for a Changing World: 59th IWK, Ilmenau Scientific Colloquium, Technische Universität Ilmenau, Germany, 11–15 Sept (2017) (ilmendia)
Scharff, M., Darnieder, M., et al.: Towards the development of tactile sensors for determination of static friction coefficient to surfaces. In: Zentner, L., Corves, B., et al. (eds.) Microactuators and Micromechanisms. Mechanisms and Machine Science, vol 45. Springer, Cham (2017)
Scharff, M., Darnieder, M., et al.: Theoretical investigations on the behavior of artificial sensors for surface texture detection. Springer Proceedings in Mathematics & Statistics (to be published)
Steigenberger, J., Behn, C., et al.: Mathematical model of vibrissae for surface texture detection. Preprint No. M 15/03. Institute of Mathematics, Technische Universität Ilmenau, Germany (2015)
Voges, D., Carl, K., et al.: Structural characterization of the whisker system of the rat. IEEE Sens. J. 12(2), 332–339 (2012)
Volkova, T., Zeidis, I., et al.: Analysis of the vibrissa parametric resonance causing a signal amplification during whisking behaviour. J. Bion. Eng. 13(2), 312–323 (2016)
Will, C., Behn, C., et al.: Object contour scanning using elastically supported technical vibrissae. ZAMM J. Appl. Math. Mech./Zeitschrift für Angewandte Mathematik und Mechanik (2017). https://doi.org/10.1002/zamm.201600161
Wolfe, J., Hill, D.N., et al.: Texture coding in the rat whisker system: slip-stick versus differential resonance. PLoS Biol. 6(8), e215 (2008)
Zucker, E., Welker, W.I.: Coding of somatic sensory input by vibrissae neurons in the rat’s trigeminal ganglion. Brain Res. 12(1), 138–156 (1969)
Zuo, Y., Perkon, I.: Whisking and whisker kinematics during a texture classification task. Philos. Trans. R. Soc. B Biol. Sci. 366(1581), 3058–3069 (2011)
Acknowledgements
This work was technically supported by a test rig from the Grant ZI 540-16/2 of Deutsche Forschungsgemeinschaft.
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Scharff, M., Alencastre, J.H., Behn, C. (2019). Detection of Surface Texture with an Artificial Tactile Sensor. In: Kecskeméthy, A., Geu Flores, F., Carrera, E., Elias, D. (eds) Interdisciplinary Applications of Kinematics. Mechanisms and Machine Science, vol 71. Springer, Cham. https://doi.org/10.1007/978-3-030-16423-2_4
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DOI: https://doi.org/10.1007/978-3-030-16423-2_4
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