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Situation assessment for sensor-based recovery planning
Örebro University, Department of Technology. (Mobile Robotics Lab)
Örebro University, Department of Technology. (Mobile Robotics Lab)ORCID iD: 0000-0002-0458-2146
Örebro University, Department of Technology. (Mobile Robotics Lab)ORCID iD: 0000-0001-8229-1363
2006 (English)In: 17th European Conference on Artificial Intelligence (ECAI) / [ed] Gerhard Brewka, Silvia Coradeschi, Anna Perini, Paolo Traverso, IOS Press, 2006, p. 673-677Conference paper, Published paper (Refereed)
Abstract [en]

We present an approach for recovery from perceptual failures, or more precisely anchoring failures. Anchoring is the problem of connecting symbols representing objects to sensor data corresponding to the same objects. The approach is based on using planning, but our focus is not on the plan generation per se. We focus on the very important aspect of situation assessment and how it is carried out for recovering from anchoring failures. The proposed approach uses background knowledge to create hypotheses about world states and handles uncertainty in terms of probabilistic belief states. This work is relevant both from the perspective of developing the anchoring framework, and as a study in plan-based recovery from epistemic failures in mobile robots. Experiments on a mobile robot are shown to validate the applicability of the proposed approach.

Place, publisher, year, edition, pages
IOS Press, 2006. p. 673-677
National Category
Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3889ISBN: 1-58603-642-4 (print)OAI: oai:DiVA.org:oru-3889DiVA, id: diva2:138188
Conference
17th European Conference on Artificial Intelligence (ECAI), Riva del Garda, Italy, August 29 - September 1 2006
Available from: 2007-08-03 Created: 2007-08-03 Last updated: 2018-01-13Bibliographically approved

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Bouguerra, AbdelbakiKarlsson, LarsSaffiotti, Alessandro

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