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Theoretical Investigations on the Behavior of Artificial Sensors for Surface Texture Detection

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Dynamical Systems in Theoretical Perspective (DSTA 2017)

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Abstract

Animal vibrissae are used as natural inspiration for artificial tactile sensors, e.g., the mystacial vibrissae enable rodents to perform several tasks in using these tactile hairs: object shape determination and surface texture discrimination. Referring to the literature, the Kinetic Signature Hypothesis states that the surface texture detection is a highly dynamic process. It is assumed that the animals gather information about the surface texture out of a spatial, temporal pattern of kinetic events. This process has to be analyzed in detail to develop an artificial tactile sensor with similar functionalities. Hence, we set up a mechanical model for theoretical investigations of the process. This model is analyzed in two different directions using numerical simulations: at first a quasi-static and then a fully dynamic description.

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Acknowledgements

This work was done in cooperation of the Technische Universität Ilmenau, Germany and the Pontificial Catholic University of Peru. Special thanks goes to Dr. Erik Gerlach from Technische Universität Ilmenau for his support and discussions.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Technische Universitt Ilmenau, Max-Planck-Ring 12, 98693, Ilmenau, Germany

    Moritz Scharff

  2. Department of Mechanical Engineering, Technische Universitt Ilmenau, Gustav-Kirchhoff-Platz 2, 98693, Ilmenau, Germany

    Maximilian Darnieder

  3. Institute of Mathematics, Technische Universitt Ilmenau, Weimarer Straße 25, 98693, Ilmenau, Germany

    Joachim Steigenberger

  4. Department of Engineering, Pontificial Catholic University of Peru, Avenida Universitaria No 1801, San Miguel, Lima, Peru

    Jorge H. Alencastre

  5. Department of Engineering and Natural Sciences, Merseburg University of Applied Sciences, Eberhard-Leibnitz-Straße 2, 06217, Merseburg, Germany

    Carsten Behn

Authors
  1. Moritz Scharff
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  2. Maximilian Darnieder
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  3. Joachim Steigenberger
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  4. Jorge H. Alencastre
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  5. Carsten Behn
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Corresponding author

Correspondence to Carsten Behn .

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Editors and Affiliations

  1. Department of Automation, Biomechanics and Mechatronics, Łódź University of Technology, Łódź, Poland

    Jan Awrejcewicz

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Scharff, M., Darnieder, M., Steigenberger, J., Alencastre, J.H., Behn, C. (2018). Theoretical Investigations on the Behavior of Artificial Sensors for Surface Texture Detection. In: Awrejcewicz, J. (eds) Dynamical Systems in Theoretical Perspective. DSTA 2017. Springer Proceedings in Mathematics & Statistics, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-96598-7_25

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