Using Fuzzy Logic in Robot Navigation to Find Animals

  • Mahdi Amiri Engineering Faculty, Arak University, Arak, Iran
  • Zeinab Abbasi Engineering Faculty, Arak University, Arak, Iran
  • Fakhte Soltani Tafreshi Engineering Faculty, Arak University, Arak, Iran

Abstract

 Fuzzy logic is a tool to use human expertise. The simplicity of fuzzy-rule based systems and its power to perform various tasks without accurate measurement and computation makes it very popular between sciences. One of these applications is using fuzzy logic in designing the controller for navigation of autonomous robots to move in various environments. This paper proposes a new method of robot navigation based on fuzzy logic. This method can be drawn upon to design robots which can find and catch different kind of animals, especially endangered species. It works based on a hierarchical set of behavior each of which acts by using a set of fuzzy rules. The proposed method is simulated and tested by MATLAB software.

Published
2013-04-30
How to Cite
AMIRI, Mahdi; ABBASI, Zeinab; TAFRESHI, Fakhte Soltani. Using Fuzzy Logic in Robot Navigation to Find Animals. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, [S.l.], v. 12, n. 4, p. 3382-3392, apr. 2013. ISSN 2277-3061. Available at: <http://cirworld.com/index.php/ijct/article/view/3190ijct>. Date accessed: 23 nov. 2017.
Section
Articles

Keywords

Fuzzy logic; Fuzzy algorithms; Robot navigation;Tracking animals; hound robot