PRIveT- A portable ubiquitous robotics testbed for adaptive human-robot interaction

Anara Sandygulova, Mauro Dragone, Gregory M P O'Hare

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    Ubiquitous robots are robots integrated with smart environments, where they cooperate with networks of heterogeneous sensors to achieve complex tasks. Their successful application opens important research questions for both their engineering and their interaction with human users, especially in public space scenarios, when they need to interact in a socially acceptable manner with multiple and previously unknown people. This article presents a testbed, named PRIveT, which is purposefully designed to support effective human-robot interaction (HRI) in public spaces. The PRIveT testbed consists of an ubiquitous robotic system that is able to autonomously engage and adapt to its users. This article describes the design rationale of the PRIveT testbed and its technical features, and presents four research studies that have used the testbed extensively. Reflections on the testbed features that were important in these studies and lessons learnt are also discussed. An assessment of the PRIveT testbed in terms of utility of the design for human-robot interaction experiments concludes the paper.

    Original languageEnglish
    Pages (from-to)5-19
    Number of pages15
    JournalJournal of Ambient Intelligence and Smart Environments
    Volume8
    Issue number1
    DOIs
    Publication statusPublished - Jan 5 2016

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    Human robot interaction
    Testbeds
    Robotics
    Robots
    Sensors
    Experiments

    Keywords

    • adaptive robotics
    • human perception
    • Human-robot interaction
    • testbed
    • ubiquitous robotics

    ASJC Scopus subject areas

    • Software

    Cite this

    PRIveT- A portable ubiquitous robotics testbed for adaptive human-robot interaction. / Sandygulova, Anara; Dragone, Mauro; O'Hare, Gregory M P.

    In: Journal of Ambient Intelligence and Smart Environments, Vol. 8, No. 1, 05.01.2016, p. 5-19.

    Research output: Contribution to journalArticle

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