Abstract
The implementation of novel tactile sensors has yielded original mechanisms for human-robot interaction that support the interpretation of complex social scenarios. For instance, the recognition of social tactile gestures is an important requirement in the design of robot companions because it enables the android to engage with human drives. We are interested on implementing such a functionality upon the biomimetic skin of the iCub android [1].
H. Barron-Gonzalez—The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007-2013, under grant agreement No 270490-EFAA.
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References
Dahiya, R.S., Metta, G., Valle, M., Sandini, G.: Tactile sensing from humans to humanoids. IEEE Trans. Robot. 26(1), 1–20 (2010)
Cooney, M.D. , Nishio, S., Ishiguro, H.: Recognizing affection for a touch-based interaction with a humanoid robot. In: International Conference on Intelligent Robots and Systems, Algarve, Portugal, pp. 1420–1427 (2012)
Silveram, D., Rye, D., Velonaki, M.: Interpretation of the modality of touch on an artificial arm covered with an EIT-based sensitive skin. Int. J. Robot. Res 31, 1627–1641 (2012)
Suykens, J.A.K., Vandewalle, J.: Least squares support vector machine classifiers. Neural Process. Lett. 9(3), 293–300 (1999)
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Barron-Gonzalez, H., Prescott, T. (2014). Discrimination of Social Tactile Gestures Using Biomimetic Skin. In: Natraj, A., Cameron, S., Melhuish, C., Witkowski, M. (eds) Towards Autonomous Robotic Systems. TAROS 2013. Lecture Notes in Computer Science(), vol 8069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43645-5_6
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DOI: https://doi.org/10.1007/978-3-662-43645-5_6
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