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

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

doi:10.1049/PBCE071E_ch6

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 proceeding › Chapter

Abstract

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 language	English
Title of host publication	Advances in Cognitive Systems
Publisher	Institution of Engineering and Technology (IET)
Chapter	6
Pages	127-168
Number of pages	42
ISBN (Electronic)	9781849190763
ISBN (Print)	9781849190756
DOIs	https://doi.org/10.1049/PBCE071E_ch6
Publication status	Published - 1 Jan 2010

Keywords

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

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Cite this

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

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Keywords

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