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An Inferring Semantic System Based on Relational Models for Mobile Robotics
System Engineering and Automation Department, University Carlos III of Madrid, Madrid, Spain.
System Engineering and Automation Department, University Carlos III of Madrid, Madrid, Spain.
School of Computer Science, University of Lincoln, Lincoln, England.ORCID iD: 0000-0002-3908-4921
2015 (English)In: 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) / [ed] Valente, A.; Marques, L.; Morais, R.; Almeida, L., IEEE, 2015, p. 83-88Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, there are many robots with the ability to move along its environment and they need a navigation system. In the semantic navigation paradigm, the ability to reason and to infer new knowledge is required. In this work a relational database is presented and proposed. This database allows to manage and to raise queries of semantic information from any environment in which a mobile robot would perform a semantic navigation, providing advantages such as conceptual simplicity and a fast method for switching between semantic environments, being unnecessary redefine new rules. In this paper, a target topological level is obtained from a semantic level destination.

Place, publisher, year, edition, pages
IEEE, 2015. p. 83-88
Keywords [en]
Mobile robots, semantic navigation, semantic mapping
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:oru:diva-83877DOI: 10.1109/ICARSC.2015.22ISI: 000381559800013Scopus ID: 2-s2.0-84933042118ISBN: 978-1-4673-6991-6 (print)OAI: oai:DiVA.org:oru-83877DiVA, id: diva2:1448734
Conference
9th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Vila Real, Portugal, April 8-10, 2015.
Available from: 2020-06-29 Created: 2020-06-29 Last updated: 2020-07-31Bibliographically approved

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Martinez Mozos, Oscar

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