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Tunable Normal and Shear Force Discrimination by a Plant-Inspired Tactile Sensor for Soft Robotics

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Biomimetic and Biohybrid Systems (Living Machines 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10384))

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Abstract

In plants, particular biomechanical protruding structures, tactile bleps, are thought to be specialized tactile sensory organs and sensitive to shear force. In this work, we present a 2D finite element analysis of a simplified plant-inspired capacitive tactile sensor. These preliminary results show that the variation of geometrical and material parameters permits to tune the sensitivity to normal and shear force and, with particular configurations, to discriminate between the two forces with a simple electrical layout and no signal processing.

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References

  1. Sane, S.P., McHenry, M.J.: The biomechanics of sensory organs. Integr. Comp. Biol. 49, i8–i23 (2009)

    Article  Google Scholar 

  2. Monshausen, G.B., Haswell, E.S.: A force of nature: molecular mechanisms of mechanoperception in plants. J. Exp. Bot. 64, 4663–4680 (2013)

    Article  Google Scholar 

  3. Engelberth, J., Wanner, G., Groth, B., Weiler, E.: Functional anatomy of the mechanoreceptor cells in tendrils of Bryonia dioica Jacq. Planta 196, 539–550 (1995)

    Article  Google Scholar 

  4. Sareh, S., Jiang, A., Faragasso, A., Noh, Y., Nanayakkara, T., Dasgupta, P., Seneviratne, L.D., Wurdemann, H.A., Althoefer, K.: Bio-inspired tactile sensor sleeve for surgical soft manipulators. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 1454–1459. IEEE (2014)

    Google Scholar 

  5. Taya, M., Wang, J., Xu, C., Kuga, Y.: Tactile sensors (2010). http://www.google.com/patents/US7823467

  6. Viry, L., Levi, A., Totaro, M., Mondini, A., Mattoli, V., Mazzolai, B., Beccai, L.: Flexible three-axial force sensor for soft and highly sensitive artificial touch. Adv. Mater. 26, 2659–2664 (2014)

    Article  Google Scholar 

  7. Park, J., Lee, Y., Hong, J., Lee, Y., Ha, M., Jung, Y., Lim, H., Kim, S.Y., Ko, H.: Tactile-direction-sensitive and stretchable electronic skins based on human-skin-inspired interlocked microstructures. ACS Nano 8, 12020–12029 (2014)

    Article  Google Scholar 

  8. Yu, P., Liu, W., Gu, C., Cheng, X., Fu, X.: Flexible piezoelectric tactile sensor array for dynamic three-axis force measurement. Sensors 16, 819 (2016)

    Article  Google Scholar 

  9. Case, J.C., White, E.L., Kramer, R.K.: Soft material characterization for robotic applications. Soft Robot. 2, 80–87 (2015)

    Article  Google Scholar 

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Correspondence to Afroditi Astreinidi Blandin or Lucia Beccai .

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Astreinidi Blandin, A., Totaro, M., Bernardeschi, I., Beccai, L. (2017). Tunable Normal and Shear Force Discrimination by a Plant-Inspired Tactile Sensor for Soft Robotics. In: Mangan, M., Cutkosky, M., Mura, A., Verschure, P., Prescott, T., Lepora, N. (eds) Biomimetic and Biohybrid Systems. Living Machines 2017. Lecture Notes in Computer Science(), vol 10384. Springer, Cham. https://doi.org/10.1007/978-3-319-63537-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-63537-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63536-1

  • Online ISBN: 978-3-319-63537-8

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