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Towards a Framework for Tactile Perception in Social Robotics

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Book cover Biomimetic and Biohybrid Systems (Living Machines 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7375))

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Abstract

The first step for building reliable humanoid systems is to provide them with perceptual mechanisms that have human attributes, such as the skill development, social interaction, environmental embodiment and sensorial integration. Despite tactile perception being one of the most important elements for human interaction with the world, its implementation within artificial systems has been tardy, principally because it requires a complete integration with the motor systems and an environmental coupling to extract comprehensible information [1]. Thus, this work aims to generate a platform based on haptic information, allowing humanoids to perceive and represent surrounding objects using concepts fully grounded in the sensorial data.

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References

  1. Lederman, S.J., Klatzky, R.L.: Haptic perception: A tutorial. Attention, Perception and Psychophysics 71(7), 1439–1459 (2009)

    Article  Google Scholar 

  2. Verschure, P.F.M.J., Voegtlin, T., Douglas, R.J.: Environmentally mediated synergy between perception and behaviour in mobile robots. Nature 425, 620–624 (2003)

    Article  Google Scholar 

  3. Wolpert, D.M., Kawato, M.: Multiple paired forward and inverse models for motor control. Neural Networks 11(7-8), 1317–1329 (1998)

    Article  Google Scholar 

  4. Hawkins, J., George, D., Niemasik, J.: Sequence memory for prediction, inference and behaviour. Philosophical Transactions of the Royal Society B: Biological Sciences 364(1521), 1203–1209 (2009)

    Article  Google Scholar 

  5. Thrun, S., Burgard, W., Fox, D.: Probabilistic robotics. MIT Press (2006)

    Google Scholar 

  6. Friston, K.: The free-energy principle. A unified brain theory. Nat. Rev. Neurosci. 11(2), 127–138 (2010)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Barron-Gonzalez, H., Lepora, N.F., Martinez-Hernandez, U., Evans, M., Prescott, T.J. (2012). Towards a Framework for Tactile Perception in Social Robotics. In: Prescott, T.J., Lepora, N.F., Mura, A., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2012. Lecture Notes in Computer Science(), vol 7375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31525-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-31525-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31524-4

  • Online ISBN: 978-3-642-31525-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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