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.
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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.
Sources (1)
- [1]Visual Task Modeling and Automated Planning for Humanoid Robots in Education of Individuals with Autism Spectrum DisorderarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 06:57 PM
We present a novel method that enables a semi-autonomous, camera-equipped robot to recognise the task goal and plan actions to achieve it.
In robot-assisted education, a robot must understand how to complete a task in order to effectively guide a student through it.
Extractive summary: sentences quoted from the sources.