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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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.
| 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 |
| URI: | http://repository.unsri.ac.id/id/eprint/8835 |
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