Datensatz Zitierlink: 
https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3093
http://hdl.handle.net/20.500.12708/361
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Titel: 
Diagnostic Reasoning for Robotics Using Action Languages
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Zitat: 
Erdem, E., Patoglu, V., & Saribatur Yaman, Z. G. (2015). Diagnostic Reasoning for Robotics Using Action Languages. In F. Calimeri, G. Ianni, & M. Truszczynski (Eds.), Logic Programming and Nonmonotonic Reasoning : 13th International Conference, LPNMR 2015, Lexington, KY, USA, September 27-30, 2015. Proceedings (pp. 317–331). Switzerland. https://doi.org/10.1007/978-3-319-23264-5_27
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CatalogPlus: 
AC11362691
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Verlags-DOI: 
10.1007/978-3-319-23264-5_27
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Publikationstyp: 
Konferenzbeitrag - Full-Paper Contribution
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Sprache: 
Englisch
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Autor_innen: 
Erdem, Esra 
Patoglu, Volkan 
Saribatur Yaman, Zeynep Gözen 
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Organisations­einheit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Erschienen in: 
Logic Programming and Nonmonotonic Reasoning : 13th International Conference, LPNMR 2015, Lexington, KY, USA, September 27-30, 2015. Proceedings 
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ISBN: 
9783319232638
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Band: 
9345
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DOI des Buches: 
10.1007/978-3-319-23264-5
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Datum (veröffentlicht): 
2015
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Veranstaltungs­name: 
LPNMR: International Conference on Logic Programming and Nonmonotonic Reasoning 2015 
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Veranstaltungs­zeitraum: 
27-Sep-2015 - 30-Sep-2015
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Veranstaltungs­ort: 
Lexington, Vereinigte Staaten von Amerika
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Umfang: 
15
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Verlag: 
Switzerland
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Verlag: 
Springer, Cham
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Keywords: 
Diagnostic reasoning; Action languages; Answer set programming
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Abstract: 
We introduce a novel diagnostic reasoning method for robotic systems with multiple robots, to find the causes of observed discrepancies relevant for plan execution. Our method proposes (i) a systematic modification of the robotic action domain description by utilizing defaults, and (ii) algorithms to compute a smallest set of diagnoses (e.g., broken robots) by means of hypothetical reasoning over the modified formalism. The proposed method is applied over various robotic scenarios in cognitive factories.
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Projekt (extern): 
TUBITAK Grant
TUBITAK Grant
TUBITAK Grant
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Projektnummer: 
111E116
113M422
114E491
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Weitere Information: 
The final publication is available via <a href="https://doi.org/10.1007/978-3-319-23264-5_27" target="_blank">https://doi.org/10.1007/978-3-319-23264-5_27</a>.
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Lizenz: 
Urheberrechtsschutz
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Conference Paper

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