ResearchResearch paperRobotics & Embodied AI1 source · Oct 19, 2026

Visual Task Modeling and Automated Planning for Humanoid Robots in Education of Individuals with Autism Spectrum Disorder

We present a novel method that enables a semi-autonomous, camera-equipped robot to recognise the task goal and plan actions to achieve it.

Key points

  • In robot-assisted education, a robot must understand how to complete a task in order to effectively guide a student through it.
  • Our work focuses on Shoebox Tasks, an activity commonly used in the education of individuals with Autism Spectrum Disorder (ASD).
  • We have developed a solver that uses a vision-based Large Language Model to convert photos of a Shoebox Task into a Planning Domain Definition Language (PDDL) representation and generate action plans for solving it.
  • Research in special educational needs indicates that students with ASD can benefit substantially from robot-assisted teaching, and our system aims to strengthen these learning opportunities while also fostering interest in robotics among individuals with ASD.

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