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Camera-Based Force and Tactile Sensor

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Towards Autonomous Robotic Systems (TAROS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10965))

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Abstract

Tactile information has become a topic of great interest in the design of devices that explore the physical interaction with the external environment. For instance, it is important for a robot hand to perform manipulation tasks, such as grasping and active touching, using tactile sensors mounted on the finger pad to provide feedback information. In this research we present a novel device that obtains both force and tactile information in a single integrated elastomer. The proposed elastomer consists of two parts, one of which is transparent and is wrapped in another translucent one that has eight conical sensing elements underneath. Two parts are merged together via a mould. A CCD camera is mounted at the bottom of the device to record the images of two elastomer mediums illuminated by the LED arrays set inside of the device. The method consists of evaluating the state of the contact surface based on analysis of the image of two elastomers. The external deformation of the elastomer is used to measure three force components Fz, Mx and My. The measurement is based on the area changes of the conical sensing elements under different loads, while the image of the inner transparent elastomer captures the surface pattern, which can used to obtain tactile information.

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References

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

    Article  Google Scholar 

  2. 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 

  3. Lazzarini, R., Magni, R., Dario, P.: A tactile array sensor layered in an artificial skin. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Human Robot Interaction and Cooperative Robots, vol. 3, pp. 114–119 (1995)

    Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  6. 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 

  7. Noh, Y., Sareh, S., Back, J., Althoefer, K.: A three-axial body force sensor for flexible manipulators. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 6388–6393. IEEE (2014)

    Google Scholar 

  8. Ohka, M., Morisawa, N., Yussof, H.: Trajectory generation of robotic fingers based on tri-axial tactile data for cap screwing task. In: IEEE International Conference on Robotics and Automation, ICRA 2009, pp. 883–888. IEEE (2009)

    Google Scholar 

  9. Yuan, W., Srinivasan, M.A., Adelson, E.H.: Estimating object hardness with a gelsight touch sensor. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 208–215. IEEE (2016)

    Google Scholar 

  10. Johnson, M.K., Adelson, E.H.: Retrographic sensing for the measurement of surface texture and shape. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. pp. 1070–1077. IEEE (2009)

    Google Scholar 

  11. Konstantinova, J., Stilli, A., Althoefer, K.: Force and proximity fingertip sensor to enhance grasping perception. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2118–2123. IEEE (2015)

    Google Scholar 

  12. Konstantinova, J., Stilli, A., Althoefer, K.: Fingertip Fiber Optical Tactile Array with Two-Level Spring Structure. In Sensors 17(10), 2337 (2017)

    Article  Google Scholar 

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Acknowledgments

This work was supported in part by the EPSRC in the framework of the NCNR (National Centre for Nuclear Robotics) project (EP/R02572X/1) and the Innovate UK funded and q-bot led project WormBot.

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Correspondence to Kaspar Althoefer .

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Li, W., Konstantinova, J., Noh, Y., Alomainy, A., Althoefer, K. (2018). Camera-Based Force and Tactile Sensor. In: Giuliani, M., Assaf, T., Giannaccini, M. (eds) Towards Autonomous Robotic Systems. TAROS 2018. Lecture Notes in Computer Science(), vol 10965. Springer, Cham. https://doi.org/10.1007/978-3-319-96728-8_37

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  • DOI: https://doi.org/10.1007/978-3-319-96728-8_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96727-1

  • Online ISBN: 978-3-319-96728-8

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