MURAL - Maynooth University Research Archive Library



    Context-Aware Shared Control of a Robot Mobility Aid for the Elderly Blind


    Lacey, Gerard and MacNamara, Shane (2000) Context-Aware Shared Control of a Robot Mobility Aid for the Elderly Blind. The International Journal of Robotics Research, 19 (11). pp. 1054-1065. ISSN 0278-3649

    [thumbnail of GL_context.pdf]
    Preview
    Text
    GL_context.pdf

    Download (126kB) | Preview

    Abstract

    This paper describes the use of a Bayesian network to provide context-aware shared control of a robot mobility aid for the frail blind. The robot mobility aid, PAM-AID, is a “smart walker” that aims to assist the frail and elderly blind to walk safely indoors. The Bayesian network combines user input with high-level information derived from the sensors to provide a context-aware estimate of the user’s current navigation goals. This context-aware action selection mechanism facilitates the use of a very simple, low bandwidth user interface, which is critical for the elderly user group. The PAM-AID systems have been evaluated through a series of field trails involving over 30 potential users.
    Item Type: Article
    Keywords: mobility aid; robot; visually impaired; Bayesian networks; context aware;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16904
    Identification Number: 10.1177/02783640022067968
    Depositing User: Gerard Lacey
    Date Deposited: 31 Jan 2023 14:25
    Journal or Publication Title: The International Journal of Robotics Research
    Publisher: SAGE Publications
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/16904
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads