Turduev, M.Kırtay, MuratSousa P.Gazi V.Marques L.2016-02-082016-02-0820101062-922Xhttp://hdl.handle.net/11693/28458Date of Conference: 10-13 Oct. 2010In this article we present implementation of Bacterial Foraging Optimization algorithm inspired search by multiple robots in an unknown area in order to find the region with highest chemical gas concentration as well as to build the chemical gas concentration map. The searching and map building tasks are accomplished by using mobile robots equipped with smart transducers for gas sensing called "KheNose". Robots perform the search autonomously via bacterial chemotactic behavior. Moreover, simultaneously the robots send their sensor readings of the chemical concentration and their position data to a remote computer (a base station), where the data is combined, interpolated, and filtered to form an real-time map of the chemical gas concentration in the environment. ©2010 IEEE.EnglishBacterial foraging optimizationBacterial foraging optimization algorithmsChemical concentrationsGas concentrationGas sensingMap BuildingMultiple robotPosition dataRemote computersSearch AlgorithmsSensor readingsSmart transducersAlgorithmsBacteriologyCyberneticsMobile robotsOptimizationConcentration (process)Conference Paper10.1109/ICSMC.2010.5642297