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...

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Published in:Pertanika Journal of Science and Technology
Main Author: Saleh I.; Azmin A.; Yunus A.; Rahiman W.
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
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