Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space
This research analyses Pure-pursuit algorithm parameters for nonholonomic mobile robot navigation in unstructured and constrained space. The simulation-based experiment is limited to the mobile robot arrangement. The Look Ahead Distance parameter is adjusted so the mobile robot can navigate the pred...
Published in: | PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
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UNIV PUTRA MALAYSIA PRESS
2024
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001214547400006 |
author |
Saleh Izzati; Azmin Azwati; Yunus Azan; Rahiman Wan |
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Saleh Izzati; Azmin Azwati; Yunus Azan; Rahiman Wan Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space Science & Technology - Other Topics |
author_facet |
Saleh Izzati; Azmin Azwati; Yunus Azan; Rahiman Wan |
author_sort |
Saleh |
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Saleh, Izzati; Azmin, Azwati; Yunus, Azan; Rahiman, Wan Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY English Article This research analyses Pure-pursuit algorithm parameters for nonholonomic mobile robot navigation in unstructured and constrained space. The simulation-based experiment is limited to the mobile robot arrangement. The Look Ahead Distance parameter is adjusted so the mobile robot can navigate the predefined map closely following the waypoints. The optimal Look Ahead Distance value is combined with the VFH+ algorithm for obstacle avoidance. The method is enhanced by adding the ? weight so the robot returns to its waypoints after avoiding an obstacle. The investigation reveals that ? influences the mobile robot's capacity to return to its predetermined waypoints after avoiding an obstacle. Based on the simulation experiment, the optimal LAD value is 0.2 m, and the optimal ? value is 0.8. UNIV PUTRA MALAYSIA PRESS 0128-7680 2024 32 1 10.47836/pjst.32.1.06 Science & Technology - Other Topics hybrid WOS:001214547400006 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001214547400006 |
title |
Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
title_short |
Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
title_full |
Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
title_fullStr |
Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
title_full_unstemmed |
Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
title_sort |
Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
container_title |
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY |
language |
English |
format |
Article |
description |
This research analyses Pure-pursuit algorithm parameters for nonholonomic mobile robot navigation in unstructured and constrained space. The simulation-based experiment is limited to the mobile robot arrangement. The Look Ahead Distance parameter is adjusted so the mobile robot can navigate the predefined map closely following the waypoints. The optimal Look Ahead Distance value is combined with the VFH+ algorithm for obstacle avoidance. The method is enhanced by adding the ? weight so the robot returns to its waypoints after avoiding an obstacle. The investigation reveals that ? influences the mobile robot's capacity to return to its predetermined waypoints after avoiding an obstacle. Based on the simulation experiment, the optimal LAD value is 0.2 m, and the optimal ? value is 0.8. |
publisher |
UNIV PUTRA MALAYSIA PRESS |
issn |
0128-7680 |
publishDate |
2024 |
container_volume |
32 |
container_issue |
1 |
doi_str_mv |
10.47836/pjst.32.1.06 |
topic |
Science & Technology - Other Topics |
topic_facet |
Science & Technology - Other Topics |
accesstype |
hybrid |
id |
WOS:001214547400006 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001214547400006 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1809679005122560000 |