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Vision-Based Task Analysis and Planning for Robot-Assisted Education of Individuals with Autism Spectrum Disorder

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511859" target="_blank" >RIV/00216208:11320/25:10511859 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-98762-5_27" target="_blank" >https://doi.org/10.1007/978-3-031-98762-5_27</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-98762-5_27" target="_blank" >10.1007/978-3-031-98762-5_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vision-Based Task Analysis and Planning for Robot-Assisted Education of Individuals with Autism Spectrum Disorder

  • Original language description

    This paper presents a framework designed for robot-assisted education of individuals with Autism Spectrum Disorder (ASD). The framework analyzes a specific type of educational task, known as &quot;shoebox tasks&quot;, and applies this analysis to guide robot-assisted task solving. It uses the visual structure of shoebox tasks to generate correct task representations and to plan actions. To verify the feasibility of automated task analysis, we conducted preliminary experiments using vision-based machine learning and Large Language Models (LLMs).

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Networks and Systems

  • ISBN

    978-3-031-98761-8

  • ISSN

    2367-3370

  • e-ISSN

    2367-3389

  • Number of pages

    7

  • Pages from-to

    319-325

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Thessaloniki, Greece

  • Event date

    Apr 23, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001594340200027