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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34949
Title: | Mobile robot navigation by using fuzzy information of moving two-wheeled motion features |
Authors: | Wan Khairunizam, Wan Ahmad, Dr. Mohd Rudzuan, Mohd Nor Mohd Nasir, Ayob Hazry, Desa, Assoc. Prof. Dr. Shahriman, Abu Bakar, Dr. Zuradzman, Mohamad Razlan, Dr. Mohd Saifizi, Saidon khairunizam@unimap.edu.my rudzuan@unimap.edu.my nasirayob@unimap.edu.my hazry@unimap.edu.my shahriman@unimap.edu.my saifizi@unimap.edu.my |
Keywords: | Fuzzy information Mobile robot Navigation Stable target |
Issue Date: | 2013 |
Publisher: | IJENS Publishers |
Citation: | International Journal of Mechanical and Mechatronics Engineering, vol. 13(4), 2013, pages 34-39 |
Abstract: | The purpose of indoor and outdoor mobile robot navigation is to move the mobile robot toward target with stable target navigation. In this study, motion information from the movements of the two-wheeled mobile robot is used as an input to the Fuzzy membership function (MF), which is designed in the preliminary experiments. The probability value outputted from the MF is used to move the forward velocity of the mobile robot called AHMAD-R toward target. The experimental results show that the proposed fuzzy approach has the stable target navigation and could be used to navigate the mobile robot in the indoor environment. |
Description: | Link to publisher's homepage at www.ijens.org/ |
URI: | http://www.ijens.org/IJMME%20Vol%2013%20Issue%2004.html http://dspace.unimap.edu.my:80/dspace/handle/123456789/34949 |
ISSN: | 2077-124X (Online) 2227-2771 (Print) |
Appears in Collections: | Zuradzman Mohamad Razlan, Assoc. Prof. Ir. Dr. Shahriman Abu Bakar, Assoc. Prof. Ir. Ts. Dr. Hazry Desa, Associate Prof.Dr. Wan Khairunizam Wan Ahmad, Assoc. Prof. Ir. Ts. Dr. Mohd Nasir Ayob, Dr. |
Files in This Item:
File | Description | Size | Format | |
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Mobile robot navigation by using fuzzy information of moving two-wheeled motion features-abstract.pdf | 57.49 kB | Adobe PDF | View/Open | |
Mobile robot navigation by using fuzzy information of moving two-wheeled motion features.pdf | Access is limited to UniMAP community | 764.06 kB | Adobe PDF | View/Open |
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