<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was used. The benefits of fuzzy control are in the evidence of mobile robot’s behaviour. These benefits are obtained when more physical variables on the base of more input variables are controlled at the same time. In our case, there are two input variables - heading angle and distance, and two output variables - the angular velocity of the left and right wheel. The autonomous mobile robot is moving with human logic.</p></abstract>

The issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was used. The benefits of fuzzy control are in the evidence of mobile robot’s behaviour. These benefits are obtained when more physical variables on the base of more input variables are controlled at the same time. In our case, there are two input variables - heading angle and distance, and two output variables - the angular velocity of the left and right wheel. The autonomous mobile robot is moving with human logic.

Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics

Slovak University of Agriculture in Nitra, Slovak Republic

Acta Technologica Agriculturae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics"}

The issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in...

Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics

Published Online: Mar 16, 2016

Page range: 19 - 23

DOI: https://doi.org/10.1515/ata-2016-0004

© Slovak University of Agriculture in Nitra

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.