Abstract
We introduce a method for generalizing tactile features across different orientations and locations, inspired by recent studies demonstrating tactile generalization in humans. This method is applied to two 3d-printed bioinspired optical tactile sensors. Internal pins acting as taxels are arranged with rotational and translational symmetry in these sensors. By rotating or translating a small sample of tactile images, we are able to generalize tactile stimuli to new orientations or locations along the sensor respectively. Applying these generalization methods in combination with active perception leads to the natural formation of a fovea of accurate real tactile data surrounded by moderately less accurate generalized data used to focus the sensor’s tactile perception.
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References
Harris, J., Harris, I., Diamond, M.: The topography of tactile learning in humans. J. Neurosci. 21(3), 1056–1061 (2001)
Nagarajan, S., Blake, D., Wright, B., Byl, N., Merzenich, M.: Practice-related improvements in somatosensory interval discrimination are temporally specific but generalize across skin location, hemisphere, and modality. J. Neurosci. 18(4), 1559–1570 (1998)
Lepora, N., Martinez-Hernandez, U., Prescott, T.: Active touch for robust perception under position uncertainty. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3020–3025 (2013)
Lepora, N.: Biomimetic active touch with tactile fingertips and whiskers. IEEE Trans. Haptics 9(2), 170–183 (2016)
Lepora, N., Martinez-Hernandez, U., Evans, M., Natale, L., Metta, G., Prescott, T.: Tactile superresolution and biomimetic hyperacuity. IEEE Trans. Rob. 31(3), 605–618 (2015)
Chorley, C., Melhuish, C., Pipe, T., Rossiter. J.: Development of a tactile sensor based on biologically inspired edge encoding. In: International Conference on Advanced Robotics, ICAR 2009, pp. 1–6. IEEE (2009)
Ward-Cherrier, B., Cramphorn, L., Lepora, N.: Tactile manipulation with a tacthumb integrated on the open-hand m2 gripper. Rob. Autom. Lett. 1(1), 169–175 (2016)
Maravita, A., Spence, C., Driver, J.: Multisensory integration and the body schema: close to hand and within reach. Curr. Biol. 13(13), R531–R539 (2003)
Hoffmann, M., Marques, H., Arieta, A., Sumioka, H., Lungarella, M., Pfeifer, R.: Body schema in robotics: a review. IEEE Trans. Auton. Mental Dev. 2(4), 304–324 (2010)
Acknowledgment
We thank Sam Coupland, Gareth Griffiths and Samuel Forbes for their assistance with 3d-printing. BWC was supported by an EPSRC DTP studentship and NL was supported in part by an EPSRC grant on ‘Tactile Superresolution Sensing’ (EP/M02993X/1).
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© 2016 Springer International Publishing Switzerland
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Ward-Cherrier, B., Cramphorn, L., Lepora, N.F. (2016). Exploiting Symmetry to Generalize Biomimetic Touch. In: Lepora, N., Mura, A., Mangan, M., Verschure, P., Desmulliez, M., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2016. Lecture Notes in Computer Science(), vol 9793. Springer, Cham. https://doi.org/10.1007/978-3-319-42417-0_59
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DOI: https://doi.org/10.1007/978-3-319-42417-0_59
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