Preliminary investigation on visual finger-counting with the icub robot cameras and hands

LUCAS, Alexandr, RICOLFE-VIALA, C and DI NUOVO, Alessandro (2019). Preliminary investigation on visual finger-counting with the icub robot cameras and hands. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11650, 484-488.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-03...
Link to published version:: https://doi.org/10.1007/978-3-030-25332-5_46
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    Abstract

    © Springer Nature Switzerland AG 2019. This short paper describes an approach for collecting a dataset of hand's pictures and training a Deep Learning network that could enable the iCub robot to count on its fingers using solely its own cameras. Such a skill, mimicking children's habits, can support arithmetic learning in a baby robot, an important step in creating artificial intelligence for robots that could learn like children in the context of cognitive developmental robotics. Preliminary results show the approach is promising in terms of accuracy.

    Item Type: Article
    Uncontrolled Keywords: 08 Information and Computing Sciences; Artificial Intelligence & Image Processing
    Identification Number: https://doi.org/10.1007/978-3-030-25332-5_46
    Page Range: 484-488
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 05 Nov 2019 10:12
    Last Modified: 17 Jul 2020 01:18
    URI: http://shura.shu.ac.uk/id/eprint/25398

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