Helping robots imitate: Metrics and technological solutions inspired by human behaviour

Aris Alissandrakis, Nuno Otero, Joe Saunders, Kerstin Dautenhahn, Chrystopher C.L. Nehaniv

    Research output: Chapter in Book/Report/Conference proceedingChapter


    In this chapter we describe three lines of research related to the issue of helping robots imitate people. These studies are based on observed human behaviour, technical metrics and implemented technical solutions. The three lines of research are: (a) a number of user studies that show how humans naturally tend to demonstrate a task for a robot to learn, (b) a formal approach to tackle the problem of what a robot should imitate and (c) a technology driven conceptual framework and technique, inspired by social learning theories, that addresses how a robot can be taught. In this merging exercise we will try to propose a way through this problem space, towards the design of a human-robot interaction (HRI) system able to be taught by humans via demonstration.

    Original languageEnglish
    Title of host publicationAdvances in Cognitive Systems
    PublisherInstitution of Engineering and Technology (IET)
    Number of pages42
    ISBN (Electronic)9781849190763
    ISBN (Print)9781849190756
    Publication statusPublished - 1 Jan 2010


    • Human behaviour
    • Human-robot interaction
    • Human-robot interaction system
    • Learning (artificial intelligence)
    • Robot imitation
    • Social learning theories
    • Technical metrics
    • Technology driven conceptual framework


    Dive into the research topics of 'Helping robots imitate: Metrics and technological solutions inspired by human behaviour'. Together they form a unique fingerprint.

    Cite this