Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34198
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dc.contributor.authorSyed Muhammad Mamduh, Syed Zakaria-
dc.contributor.authorKamarulzaman, Kamarudin-
dc.contributor.authorShaharil, Mad Saad-
dc.contributor.authorAli Yeon, Md Shakaff, Prof. Dr.-
dc.contributor.authorAmmar, Zakaria-
dc.contributor.authorAbu Hassan, Abdullah, Dr.-
dc.date.accessioned2014-04-30T08:06:11Z-
dc.date.available2014-04-30T08:06:11Z-
dc.date.issued2013-04-
dc.identifier.citationp. 1-6en_US
dc.identifier.isbn978-1-4799-0209-5-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6612365-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34198-
dc.descriptionProceedings of the IEEE Symposium on Computers and Informatics 2013 (ISCI 2013) at Langkawi, Malaysia on 7 April 2013 through 9 April 2013en_US
dc.description.abstractThis paper presents an algorithm to trace an odour plume using swarm robots in laminar airflow. The algorithm proposed here aims to bridge the gap between single and multiple element systems by mimicking and enhancing biologically derived strategies for odor plume tracking. Simulations were carried out on Webots to verify the potential of the algorithm. A simple gas sensor model was introduced to mimic the response of a real metal oxide sensor in the simulation. A gas sensor model was introduced based on the response of metal oxide sensor (MOS) to closely mimic and provide real environment condition. Different weightage configurations of the gas sensor, kg and wind sensor, kw are compared to find its effects on the performance and behavior of the purposed algorithm. It was found that robots separated from the swarm can still perform the plume tracking task. Also, multiple entity systems show an increase in performance compared to single entity robots.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the IEEE Symposium on Computers and Informatics 2013 (ISCI 2013);-
dc.subjectMobile olfactionen_US
dc.subjectSwarm roboticsen_US
dc.subjectSwarm robotsen_US
dc.subjectWebotsen_US
dc.titleBraitenberg swarm vehicles for odour plume tracking in laminar airflowen_US
dc.typeWorking Paperen_US
dc.contributor.urlceastech@unimap.edu.myen_US
dc.contributor.urlarul.unimap@gmail.comen_US
dc.contributor.urlaliyeon@unimap.edu.myen_US
dc.contributor.urlabuhassan@unimap.edu.my-
Appears in Collections:Ammar Zakaria, Associate Professor Dr.
Conference Papers
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Abu Hassan Abdullah, Associate Prof. Ir. Ts. Dr.

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