Automatic learning of cognitive exercises for socially assistive robotics
10.1109/RO-MAN50785.2021.9515433
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/365219
Tipus de documentText en actes de congrés
Data publicació2021
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In this paper, we present a learning approach to facilitate the teaching of new board exercises to assistive robotic systems. We formulate the problem as the learning of action models using Boolean predicates, disjunctive preconditions, and existential quantifiers from demonstrations of successful exercise executions. To be able to cope with exercises whose rules depend on a set of features that are initialized at the beginning of each play-out, we introduce the concept of dynamic context. Furthermore, we show how the learnt knowledge can be represented intuitively in a graphical interface that helps the caregiver understand what the system has learnt. As validation, we conducted a user study in which we evaluated whether and to which extent different types of feedback can affect the subjects’ performance while teaching three types of exercises: (1) sorting numbers; (2) arranging letters; and (3) reproducing shapes sequences in reversed order. The results suggest that textual and graphical feedback are beneficial.
Descripció
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
CitacióSuarez, A. [et al.]. Automatic learning of cognitive exercises for socially assistive robotics. A: IEEE International Symposium on Robot and Human Interactive Communication. "30th IEEE International Conference on Robot & Human Interactive Communication, RO-MAN 2021, Vancouver, BC, Canada, August 8-12, 2021". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 139-146. ISBN 978-1-6654-0492-1. DOI 10.1109/RO-MAN50785.2021.9515433.
GuardóDocument premiat
ISBN978-1-6654-0492-1
Versió de l'editorhttps://ieeexplore.ieee.org/document/9515433
Col·leccions
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos [576]
- ROBiri - Grup de Percepció i Manipulació Robotitzada de l'IRI - Ponències/Comunicacions de congressos [252]
- Doctorat en Automàtica, Robòtica i Visió - Ponències/Comunicacions de congressos [166]
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