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http://dx.doi.org/10.5391/JKIIS.2011.21.1.49

Odor Cognition and Source Tracking of an Intelligent Robot based upon Wireless Sensor Network  

Lee, Jae-Yeon (부경대학교 전자정보통신연구소)
Kang, Geun-Taek (부경대학교 전자공학과)
Lee, Won-Chang (부경대학교 전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.1, 2011 , pp. 49-54 More about this Journal
Abstract
In this paper, we represent a mobile robot which can recognize chemical odor, measure concentration, and track its source indoors. The mobile robot has the function of smell that can sort several gases in experiment such as ammonia, ethanol, and their mixture with neural network algorithm and measure each gas concentration with fuzzy rules. In addition, it can not only navigate to the desired position with vision system by avoiding obstacles but also transmit odor information and warning messages earned from its own operations to other nodes by multi-hop communication in wireless sensor network. We suggest the way of odor sorting, concentration measurement, and source tracking for a mobile robot in wireless sensor network using a hybrid algorithm with vision system and gas sensors. The experimental studies prove that the efficiency of the proposed algorithm for odor recognition, concentration measurement, and source tracking.
Keywords
Gas Sensor; Neural Network; Fuzzy Rule; Vision System; Mobile Robot;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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