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 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Published: |
Universiti Putra Malaysia Press
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185246375&doi=10.47836%2fpjst.32.1.06&partnerID=40&md5=bde148790e0712a3c3b5f26e39f1b50d |
id |
2-s2.0-85185246375 |
---|---|
spelling |
2-s2.0-85185246375 Saleh I.; Azmin A.; Yunus A.; Rahiman W. Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space 2024 Pertanika Journal of Science and Technology 32 1 10.47836/pjst.32.1.06 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185246375&doi=10.47836%2fpjst.32.1.06&partnerID=40&md5=bde148790e0712a3c3b5f26e39f1b50d 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 λ weight so the robot returns to its waypoints after avoiding an obstacle. The investigation reveals that λ 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 λ value is 0.8. © Universiti Putra Malaysia Press. Universiti Putra Malaysia Press 1287680 English Article All Open Access; Hybrid Gold Open Access |
author |
Saleh I.; Azmin A.; Yunus A.; Rahiman W. |
spellingShingle |
Saleh I.; Azmin A.; Yunus A.; Rahiman W. Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space |
author_facet |
Saleh I.; Azmin A.; Yunus A.; Rahiman W. |
author_sort |
Saleh I.; Azmin A.; Yunus A.; Rahiman W. |
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 |
publishDate |
2024 |
container_title |
Pertanika Journal of Science and Technology |
container_volume |
32 |
container_issue |
1 |
doi_str_mv |
10.47836/pjst.32.1.06 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185246375&doi=10.47836%2fpjst.32.1.06&partnerID=40&md5=bde148790e0712a3c3b5f26e39f1b50d |
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 λ weight so the robot returns to its waypoints after avoiding an obstacle. The investigation reveals that λ 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 λ value is 0.8. © Universiti Putra Malaysia Press. |
publisher |
Universiti Putra Malaysia Press |
issn |
1287680 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677575521304576 |