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Elastomer-Based Touch Sensor: Visualization of Tactile Pressure Distribution

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Towards Autonomous Robotic Systems (TAROS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11650))

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Abstract

This paper presents an elastomer-based tactile sensor that can sense the tactile information in the form of pressure distribution. Our proposed sensor uses a piece of coated elastomer with thin conical pins underneath as the touch medium. The elastomer consists of 91 pins arranged in a honeycomb pattern, each pin can be regarded as a tactile sensing element. They are spaced at 1.5 mm in x and y direction. Each tactile element transfers the applied pressure value into a circular image pattern which can be captured by a camera placed at the end of the sensor structure. The applied pressure over the sensing array can be computed by processing the area of each sensing element. MATLAB is used to process the received images relating the applied pressure to the activated pixels in each circular pattern of the tactile element, and further visualizing the pressure distribution on a reconstructed surface of the sensor. This paper presents the development principle and fabrication process of the proposed sensor. The experimental results have proven the viability of the sensing concept; the prototype sensor can effectively detect single-point touch caused by objects with different dimensions and multi-point touch interactions with a spacing of more than 2.5 mm.

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References

  1. Konstantinova, J., Jiang, A., Althoefer, K., Dasgupta, P., Nanayakkara, T.: Implementation of tactile sensing for palpation in robot-assisted minimally invasive surgery: a review. IEEE Sens. J. 14(8), 2490–2501 (2014)

    Article  Google Scholar 

  2. Dahiya, R.S., Metta, G., Valle, M., Sandini, G.: Tactile sensing–from humans to humanoids. IEEE Trans. Robot. 26(1), 1–20 (2010)

    Article  Google Scholar 

  3. Pham, T.Q., Hoshi, T., Tanaka, Y., Sano, A.: Effect of 3D microstructure of dermal papillae on SED concentration at a mechanoreceptor location. PLoS ONE 12(12), e0189293 (2017)

    Article  Google Scholar 

  4. Yousef, H., Boukallel, M., Althoefer, K.: Tactile sensing for dexterous in-hand manipulation in ro-botics—a review. Sens. Actuators A Phys. 167(2), 171–187 (2011)

    Article  Google Scholar 

  5. Schneiter, L., Sheridan, T.B.: An optical tactile sensor for manipulators. Robot. Comput.-Integr. Manuf. 1, 65–71 (1984)

    Article  Google Scholar 

  6. Konstantinova, J., Stilli, A., Althoefer, K.: Fingertip fiber optical tactile array with two-level spring structure. Sensors 17(10), 2337 (2017)

    Article  Google Scholar 

  7. Winstone, B., Griffiths, G., Pipe, T., Melhuish, C., Rossiter, J.: TACTIP - tactile fingertip device, texture analysis through optical tracking of skin features. In: Lepora, N.F., Mura, A., Krapp, H.G., Verschure, P.F.M.J., Prescott, T.J. (eds.) Living Machines 2013. LNCS (LNAI), vol. 8064, pp. 323–334. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39802-5_28

    Chapter  Google Scholar 

  8. Xie, H., Jiang, A., Wurdemann, H.A., Liu, H.: Magnetic resonance-compatible tactile force sensor using fiber optics and vision sensor. IEEE Sens. J. 14(3), 829–838 (2013)

    Article  Google Scholar 

  9. Ohka, M., Mitsuya, Y., Higashioka, I., Kabeshita, H.: An experimental optical three-axis tactile sensor for micro-robots. Robotica 23(4), 457–465 (2005)

    Article  Google Scholar 

  10. Yuan, W., Li, R., Srinivasan, M.A., Adelson, E.H.: Measurement of shear and slip with a GelSight tactile sensor. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 304–311 (2015)

    Google Scholar 

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Acknowledgments

This work was supported in part by the EPSRC National Centre for Nuclear Robotics project (EP/R02572X/1), the Innovate UK WormBot project (104059) and the Innovate UK project iGrasp (103676).

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Correspondence to Kaspar Althoefer .

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Li, W., Konstantinova, J., Alomainy, A., Althoefer, K. (2019). Elastomer-Based Touch Sensor: Visualization of Tactile Pressure Distribution. In: Althoefer, K., Konstantinova, J., Zhang, K. (eds) Towards Autonomous Robotic Systems. TAROS 2019. Lecture Notes in Computer Science(), vol 11650. Springer, Cham. https://doi.org/10.1007/978-3-030-25332-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-25332-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25331-8

  • Online ISBN: 978-3-030-25332-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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