All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Learning to reach to own body from spontaneous self-touch using a generative model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00362238" target="_blank" >RIV/68407700:21230/22:00362238 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICDL53763.2022.9962186" target="_blank" >https://doi.org/10.1109/ICDL53763.2022.9962186</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICDL53763.2022.9962186" target="_blank" >10.1109/ICDL53763.2022.9962186</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Learning to reach to own body from spontaneous self-touch using a generative model

  • Original language description

    When leaving the aquatic constrained environment of the womb, newborns are thrown into the world with essentially new laws and regularities that govern their interactions with the environment. Here, we study how spontaneous self-contacts can provide material for learning implicit models of the body and its action possibilities in the environment. Specifically, we investigate the space of only somatosensory (tactile and proprioceptive) activations during self-touch configurations in a simple model agent. Using biologically motivated overlapping receptive fields in these modalities, a variational autoencoder (VAE) in a denoising framework is trained on these inputs. The denoising properties of the VAE can be exploited to fill in the missing information. In particular, if tactile stimulation is provided on a single body part, the model provides a configuration that is closer to a previously experienced self-contact configuration. Iterative passes through the VAE reconstructions create a control loop that brings about reaching for stimuli on the body. Furthermore, due to the generative properties of the model, previously unsampled proprioceptive-tactile configurations can also be achieved. In the future, we will seek a closer comparison with empirical data on the kinematics of spontaneous self-touch in infants and the results of reaching for stimuli on the body.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

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

    8

  • Pages from-to

    328-335

  • 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