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A connectionist model of associating proprioceptive and tactile modalities in a humanoid robot

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00362310" target="_blank" >RIV/68407700:21230/22:00362310 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICDL53763.2022.9962195" target="_blank" >https://doi.org/10.1109/ICDL53763.2022.9962195</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICDL53763.2022.9962195" target="_blank" >10.1109/ICDL53763.2022.9962195</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A connectionist model of associating proprioceptive and tactile modalities in a humanoid robot

  • Original language description

    Postnatal development in infants involves building the body schema based on integrating information from different modalities. An early phase of this complex process involves coupling proprioceptive inputs with tactile information during self-touch enabled by motor babbling. Such functionality is also desirable in humanoid robots that can serve as embodied instantiation of cognitive learning. We describe a simple connectionist model composed of neural networks that learns the proprioceptive-tactile representations on a simulated iCub humanoid robot. Input signals from both modalities – joint angles and touch stimuli on both upper limbs – are first self-organized in neural maps and then connected using a universal bidirectional associative network (UBAL). The model demonstrates the ability to predict touch and its location from proprioceptive information with relatively high accuracy. We also discuss limitations of the model and the ideas for future work.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GX20-24186X" target="_blank" >GX20-24186X: Whole-body awareness for safe and natural interaction: from brains to collaborative robots</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2022 IEEE International Conference on Development and Learning (ICDL)

  • ISBN

    978-1-6654-1311-4

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    336-342

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    London

  • Event date

    Sep 12, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article