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 mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was us...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Sciendo
2016-03-01
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Series: | Acta Technologica Agriculturae |
Subjects: | |
Online Access: | https://doi.org/10.1515/ata-2016-0004 |
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author | Cviklovič Vladimír Olejár Martin Hrubý Dušan Palková Zuzana Lukáč Ondrej Hlaváč Peter |
author_facet | Cviklovič Vladimír Olejár Martin Hrubý Dušan Palková Zuzana Lukáč Ondrej Hlaváč Peter |
author_sort | Cviklovič Vladimír |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T15:59:49Z |
format | Article |
id | doaj.art-09d763a4e45c427e96837444619ea617 |
institution | Directory Open Access Journal |
issn | 1338-5267 |
language | English |
last_indexed | 2024-04-11T15:59:49Z |
publishDate | 2016-03-01 |
publisher | Sciendo |
record_format | Article |
series | Acta Technologica Agriculturae |
spelling | doaj.art-09d763a4e45c427e96837444619ea6172022-12-22T04:15:03ZengSciendoActa Technologica Agriculturae1338-52672016-03-01191192310.1515/ata-2016-0004ata-2016-0004Navigation Algorithm Using Fuzzy Control Method in Mobile RoboticsCviklovič Vladimír0Olejár Martin1Hrubý Dušan2Palková Zuzana3Lukáč Ondrej4Hlaváč Peter5Slovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicThe 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.https://doi.org/10.1515/ata-2016-0004fuzzy logicencodermembership functionregulationheading angledead reckoning |
spellingShingle | Cviklovič Vladimír Olejár Martin Hrubý Dušan Palková Zuzana Lukáč Ondrej Hlaváč Peter Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics Acta Technologica Agriculturae fuzzy logic encoder membership function regulation heading angle dead reckoning |
title | Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics |
title_full | Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics |
title_fullStr | Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics |
title_full_unstemmed | Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics |
title_short | Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics |
title_sort | navigation algorithm using fuzzy control method in mobile robotics |
topic | fuzzy logic encoder membership function regulation heading angle dead reckoning |
url | https://doi.org/10.1515/ata-2016-0004 |
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