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Content Provider | IEEE Xplore Digital Library |
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Author | Broxvall, M. Coradeschi, S. Loutfi, A. Saffiotti, A. |
Copyright Year | 2006 |
Description | Author affiliation: Center for Appl. Autonomous Sensor Syst., Orebro Univ. (Broxvall, M.; Coradeschi, S.; Loutfi, A.; Saffiotti, A.) |
Abstract | 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 |
Sponsorship | IEEE Robotics and Autom. Soc |
Starting Page | 2066 |
Ending Page | 2071 |
File Size | 421869 |
Page Count | 6 |
File Format | |
ISBN | 0780395050 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2006.1642009 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-15 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Mobile robots Intelligent robots Intelligent sensors Robot sensing systems Intelligent networks Gas detectors Electronic noses Sensor arrays Sensor systems Relays |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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