A comprehensive study for robot navigation techniques
An intelligent autonomous robot is required in various applications such as space, transportation, industry, and defense. Mobile robots can also perform several tasks like material handling, disaster relief, patrolling, and rescue operation. Therefore, an autonomous robot is required that can travel...
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Taylor & Francis Group
2019
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oai:doaj.org-article:e108a9cb308a4460ac46a52cdc7a03642021-11-04T15:51:56ZA comprehensive study for robot navigation techniques2331-191610.1080/23311916.2019.1632046https://doaj.org/article/e108a9cb308a4460ac46a52cdc7a03642019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1632046https://doaj.org/toc/2331-1916An intelligent autonomous robot is required in various applications such as space, transportation, industry, and defense. Mobile robots can also perform several tasks like material handling, disaster relief, patrolling, and rescue operation. Therefore, an autonomous robot is required that can travel freely in a static or a dynamic environment. Smooth and safe navigation of mobile robot through cluttered environment from start position to goal position with following safe path and producing optimal path length is the main aim of mobile robot navigation. Regarding this matter, several techniques have been explored by researchers for robot navigation path planning. An effort has been made in this article to study several navigation techniques, which are well suited for the static and dynamic environment and can be implemented for real-time navigation of mobile robot.Faiza GulWan RahimanSyed Sahal Nazli AlhadyTaylor & Francis Grouparticleartificial intelligenceneural networkfuzzy logicagvEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019) |
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artificial intelligence neural network fuzzy logic agv Engineering (General). Civil engineering (General) TA1-2040 |
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artificial intelligence neural network fuzzy logic agv Engineering (General). Civil engineering (General) TA1-2040 Faiza Gul Wan Rahiman Syed Sahal Nazli Alhady A comprehensive study for robot navigation techniques |
description |
An intelligent autonomous robot is required in various applications such as space, transportation, industry, and defense. Mobile robots can also perform several tasks like material handling, disaster relief, patrolling, and rescue operation. Therefore, an autonomous robot is required that can travel freely in a static or a dynamic environment. Smooth and safe navigation of mobile robot through cluttered environment from start position to goal position with following safe path and producing optimal path length is the main aim of mobile robot navigation. Regarding this matter, several techniques have been explored by researchers for robot navigation path planning. An effort has been made in this article to study several navigation techniques, which are well suited for the static and dynamic environment and can be implemented for real-time navigation of mobile robot. |
format |
article |
author |
Faiza Gul Wan Rahiman Syed Sahal Nazli Alhady |
author_facet |
Faiza Gul Wan Rahiman Syed Sahal Nazli Alhady |
author_sort |
Faiza Gul |
title |
A comprehensive study for robot navigation techniques |
title_short |
A comprehensive study for robot navigation techniques |
title_full |
A comprehensive study for robot navigation techniques |
title_fullStr |
A comprehensive study for robot navigation techniques |
title_full_unstemmed |
A comprehensive study for robot navigation techniques |
title_sort |
comprehensive study for robot navigation techniques |
publisher |
Taylor & Francis Group |
publishDate |
2019 |
url |
https://doaj.org/article/e108a9cb308a4460ac46a52cdc7a0364 |
work_keys_str_mv |
AT faizagul acomprehensivestudyforrobotnavigationtechniques AT wanrahiman acomprehensivestudyforrobotnavigationtechniques AT syedsahalnazlialhady acomprehensivestudyforrobotnavigationtechniques AT faizagul comprehensivestudyforrobotnavigationtechniques AT wanrahiman comprehensivestudyforrobotnavigationtechniques AT syedsahalnazlialhady comprehensivestudyforrobotnavigationtechniques |
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