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Knowledge representation and reasoning for perceptual anchoring
Örebro University, Department of Technology. (AASS)
Örebro University, Department of Technology. (AASS)
Örebro University, Department of Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2007 (English)In: 19th IEEE international conference on tools with artificial intelligence, ICTAI 2007, New York: IEEE , 2007, p. 129-136Conference paper, Published paper (Refereed)
Abstract [en]

In this work we report results on the use of symbolic knowledge representation and reasoning (KRR) for perceptual anchoring. Anchoring is the creation and maintenance of a connection between the symbolic and perceptual description that refer to the same physical object in the environment. We extend the anchoring framework to manage the symbolic information in a KRR system, and to exploit this knowledge and the inference mechanism to recover from failures in the anchoring of symbols. We show a simulated scenario where the system communicates with a user to interactively resolve an ambiguous description using the knowledge base, and in particular spatial relations. This is a first step towards a KRR-supported anchoring framework that we will use for human-robot communication.

Place, publisher, year, edition, pages
New York: IEEE , 2007. p. 129-136
National Category
Computer Sciences Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3831DOI: 10.1109/ICTAI.2007.118ISBN: 978-0-7695-3015-4 (print)OAI: oai:DiVA.org:oru-3831DiVA, id: diva2:138129
Conference
19th IEEE international conference on tools with artificial intelligence, ICTAI 2007, 29-31 Oct, Patras
Available from: 2007-08-01 Created: 2007-08-01 Last updated: 2018-01-13Bibliographically approved

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Melchert, JonasCoradeschi, SilviaLoutfi, Amy

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf