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An ecological approach to odour recognition in intelligent environments
Örebro University, Department of Technology. (Mobile Robotics Lab)
Örebro University, Department of Technology. (Mobile Robotics Lab)
Örebro University, Department of Technology. (Mobile Robotics Lab)ORCID iD: 0000-0002-3122-693X
Örebro University, Department of Technology. (Mobile Robotics Lab)ORCID iD: 0000-0001-8229-1363
2006 (English)In: 2006 IEEE International Conference on Robotics and automation, ICRA 2006, 2006, p. 2066-2071Conference paper, Published paper (Refereed)
Abstract [en]

We present a new approach for odour detection and recognition based on a so-called PEIS-Ecology: a network of gas sensors and a mobile robot are integrated in an intelligent environment. The environment can provide information regarding the location of potential odour sources, which is then relayed to a mobile robot equipped with an electronic nose. The robot can then perform a more thorough analysis of the odour character. This is a novel approach which alleviates some the challenges in mobile olfaction techniques by single and embedded mobile robots. The environment also provides contextual information which can be used to constrain the learning of odours, which is shown to improve classification performance.

Place, publisher, year, edition, pages
2006. p. 2066-2071
National Category
Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3883DOI: 10.1109/ROBOT.2006.1641186ISBN: 0-7803-9505-0 (print)OAI: oai:DiVA.org:oru-3883DiVA, id: diva2:138182
Conference
2006 IEEE International Conference on ICRA 2006, Orlando, FL, 15-19 May 2006
Available from: 2007-08-03 Created: 2007-08-03 Last updated: 2018-01-13Bibliographically approved

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Broxvall, MathiasCoradeschi, SilviaLoutfi, AmySaffiotti, Alessandro

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