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Task Learning Using Graphical Programming and Human Demonstrations
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-2965-2953
2006 (English)In: Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2006, 398-403 p.Conference paper, Published paper (Refereed)
Abstract [en]

The next generation of robots will have to learn new tasks or refine the existing ones through direct interaction with the environment or through a teaching/coaching process in programming by demonstration (PbD) and learning by instruction frameworks. In this paper, we propose to extend the classical PbD approach with a graphical language that makes robot coaching easier. The main idea is based on graphical programming where the user designs complex robot tasks by using a set of low-level action primitives. Different to other systems, our action primitives are made general and flexible so that the user can train them online and therefore easily design high level tasks

Place, publisher, year, edition, pages
2006. 398-403 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-82427DOI: 10.1109/ROMAN.2006.314466Scopus ID: 2-s2.0-48349108599OAI: oai:DiVA.org:kth-82427DiVA: diva2:498229
Conference
RO-MAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication; Hatfield; 6 September 2006 through 8 September 2006
Note
QC 20120305Available from: 2012-02-11 Created: 2012-02-11 Last updated: 2012-03-05Bibliographically approved

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Kragic, Danica

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Ekvall, StaffanAarno, DanielKragic, Danica
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Citation style
  • apa
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  • ieee
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  • nn-NB
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  • Other locale
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Output format
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