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Helping Robots Imitate: Metrics And Computational Solutions Inspired By Human-Robot Interaction Studies
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Tokyo, Japan.ORCID iD: 0000-0003-4162-6475
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (CeLeKT/Media Technology)ORCID iD: 0000-0003-2446-8727
Adaptive Systems Research Group, University of Hertfordshire, Hatfield, UK.
Adaptive Systems Research Group, University of Hertfordshire, Hatfield, UK.
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2010 (English)In: Advances in Cognitive Systems / [ed] Samia Nefti-Meziani and John Gray, Institution of Engineering and Technology, 2010, 127-167 p.Chapter in book (Refereed)
Abstract [en]

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 be- haviour, 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 prob- lem space, towards the design of a Human-Robot Interaction (HRI) system able to be taught by humans via demonstration.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2010. 127-167 p.
Series
IET control engineering series, 71
National Category
Robotics
Identifiers
URN: urn:nbn:se:lnu:diva-16433ISBN: 978-1-84919-075-6 (print)OAI: oai:DiVA.org:lnu-16433DiVA: diva2:470952
Available from: 2011-12-30 Created: 2011-12-30 Last updated: 2015-06-17Bibliographically approved

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Citation style
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