Intelligent Low Cost Mobile Robot and Environmental Classification

Nurmaini, Siti (2011) Intelligent Low Cost Mobile Robot and Environmental Classification. International Journal of Computer Applications, 35 (12). ISSN 0975 – 8887


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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.

Item Type: Article
Uncontrolled Keywords: Low cost mobile robot Pattern recognition Fuzzy-kohonen network Environmental recognition
Subjects: Q Science > Q Science (General) > Q1-295 General
Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Dr. Ir. MT Siti Nurmaini
Date Deposited: 30 Sep 2019 02:37
Last Modified: 30 Sep 2019 02:37

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