Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA

An improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT∗ algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure. When a new node is obtained, it will...

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Main Authors: Jun Dai, Dongfang Li, Junwei Zhao, Yanqin Li
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2022/3477265
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author Jun Dai
Dongfang Li
Junwei Zhao
Yanqin Li
author_facet Jun Dai
Dongfang Li
Junwei Zhao
Yanqin Li
author_sort Jun Dai
collection DOAJ
description An improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT∗ algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure. When a new node is obtained, it will be judged whether it can directly reach the target point. Second, the search scope of the potential optimal parent node becomes the constructed path, instead of the node tree, which reduces the number of nodes to be searched and improves the navigation efficiency. Combined with the dynamic window approach (DWA), the improved algorithm is utilized to simulate the autonomous navigation process of the robot based on the Robot Operating System (ROS) platform. The simulation results show that compared with the original algorithm, the length of the global path is reduced by 5.15%, and the time of planning path and autonomous navigation is shortened by 78.34% and 21.67%, respectively.
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institution Kabale University
issn 1687-9619
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Robotics
spelling doaj-art-a19a05f896f64849b1b44b8eee0337002025-02-03T01:07:12ZengWileyJournal of Robotics1687-96192022-01-01202210.1155/2022/3477265Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWAJun Dai0Dongfang Li1Junwei Zhao2Yanqin Li3Department of Mechanical and Power EngineeringDepartment of Mechanical and Power EngineeringDepartment of Mechanical and Power EngineeringDepartment of Mechanical and Power EngineeringAn improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT∗ algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure. When a new node is obtained, it will be judged whether it can directly reach the target point. Second, the search scope of the potential optimal parent node becomes the constructed path, instead of the node tree, which reduces the number of nodes to be searched and improves the navigation efficiency. Combined with the dynamic window approach (DWA), the improved algorithm is utilized to simulate the autonomous navigation process of the robot based on the Robot Operating System (ROS) platform. The simulation results show that compared with the original algorithm, the length of the global path is reduced by 5.15%, and the time of planning path and autonomous navigation is shortened by 78.34% and 21.67%, respectively.http://dx.doi.org/10.1155/2022/3477265
spellingShingle Jun Dai
Dongfang Li
Junwei Zhao
Yanqin Li
Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA
Journal of Robotics
title Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA
title_full Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA
title_fullStr Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA
title_full_unstemmed Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA
title_short Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA
title_sort autonomous navigation of robots based on the improved informed rrt∗ algorithm and dwa
url http://dx.doi.org/10.1155/2022/3477265
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AT dongfangli autonomousnavigationofrobotsbasedontheimprovedinformedrrtalgorithmanddwa
AT junweizhao autonomousnavigationofrobotsbasedontheimprovedinformedrrtalgorithmanddwa
AT yanqinli autonomousnavigationofrobotsbasedontheimprovedinformedrrtalgorithmanddwa