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Intelligent Low Cost Mobile Robot and Environmental Classification

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International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 35 - Number 12
Year of Publication: 2011
Authors:
Siti Nurmaini
10.5120/4545-6280

Siti Nurmaini. Article: Intelligent Low Cost Mobile Robot and Environmental Classification. International Journal of Computer Applications 35(12):1-7, December 2011. Full text available. BibTeX

@article{key:article,
	author = {Siti Nurmaini},
	title = {Article: Intelligent Low Cost Mobile Robot and Environmental Classification},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {35},
	number = {12},
	pages = {1-7},
	month = {December},
	note = {Full text available}
}

Abstract

In this paper low cost mobile robot is designed and developed. A tree diagram of material selection is used to help designer to determine the requirements of mobile robot process design. 5 pieces of low price infrared sensors and 8 bits low cost microcontroller-based system are utilized to process sensors signal and driving actuators to guide mobile robot movement. Fuzzy-Kohonen Network (FKN) method is embedded into the mobile robot as pattern recognition approach of 21 environmental classifications. We have fully implemented the system with a real mobile robot and made experiments for evaluating the mobile robot ability. As a result, we found out that the environment recognition is done well, that mobile robot successfully identified several environmental situations. Furthermore, our method is adaptive to noisy environments and produce satisfactory performance.

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