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Integrating object and grasp recognition for dynamic scene interpretation
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0003-2965-2953
2005 (English)In: 2005 12th International Conference on Advanced Robotics, NEW YORK, NY: IEEE , 2005, 331-336 p.Conference paper, Published paper (Refereed)
Abstract [en]

Understanding and interpreting dynamic scenes and activities is a very challenging problem. In this paper we present a system capable of learning robot tasks from demonstration. Classical robot task programming requires an experienced programmer and a lot of tedious work. In contrast, Programming by Demonstration is a flexible framework that reduces the complexity of programming robot tasks, and allows end-users to demonstrate the tasks instead of writing code. We present our recent steps towards this goal. A system for learning pick-and-place tasks by manually demonstrating them is presented. Each demonstrated task is described by an abstract model involving a set of simple tasks such as what object is moved, where it is moved, and which grasp type was used to move it.

Place, publisher, year, edition, pages
NEW YORK, NY: IEEE , 2005. 331-336 p.
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-43126DOI: 10.1109/ICAR.2005.1507432ISI: 000234272400050Scopus ID: 2-s2.0-33749072001ISBN: 0-7803-9177-2 (print)OAI: oai:DiVA.org:kth-43126DiVA: diva2:448528
Conference
12th International Conference on Advanced Robotics. Seattle, WA. JUL 17-20, 2005
Note
QC 20111017Available from: 2011-10-17 Created: 2011-10-13 Last updated: 2011-10-17Bibliographically approved

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Kragic, Danica

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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