Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments

This paper presents a novel approach for navigation in complex and unknown environments. At present, existing local path planners whose control output is the mapping of current sensor data have been widely studied. However, these methods cannot really solve the problem of being trapped by obstacles....

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Main Authors: Kai Yan, Baoli Ma
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/20/5802
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author Kai Yan
Baoli Ma
author_facet Kai Yan
Baoli Ma
author_sort Kai Yan
collection DOAJ
description This paper presents a novel approach for navigation in complex and unknown environments. At present, existing local path planners whose control output is the mapping of current sensor data have been widely studied. However, these methods cannot really solve the problem of being trapped by obstacles. We analyzed the reasons and made improvements, and finally our approach can avoid being trapped in complex environments. The proposed method is based on 2D LIDAR. A central part of the approach is finding out gaps in the environment by analyzing sensor data. Then, we choose one of the gaps we find as the sub-goal. Linear and angular velocities are provided by the approach considering nonholonomic mobile robots. The method does not rely on global planners and environment maps. Therefore, it has the advantages of low computational complexity and fast response, which is of great significance to robots with low computing power; it will also help to reduce the manufacturing cost of robots. In addition, simulations and real tests were performed using the Turtlebot2 robotic platform. Successful results are achieved in both simulations and experimental tests.
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spelling doaj.art-15c25e0b038640f9be51cc6031dd32c82023-11-20T16:58:32ZengMDPI AGSensors1424-82202020-10-012020580210.3390/s20205802Mapless Navigation Based on 2D LIDAR in Complex Unknown EnvironmentsKai Yan0Baoli Ma1The Seventh Research Division, Beihang University, Beijing 100191, ChinaThe Seventh Research Division, Beihang University, Beijing 100191, ChinaThis paper presents a novel approach for navigation in complex and unknown environments. At present, existing local path planners whose control output is the mapping of current sensor data have been widely studied. However, these methods cannot really solve the problem of being trapped by obstacles. We analyzed the reasons and made improvements, and finally our approach can avoid being trapped in complex environments. The proposed method is based on 2D LIDAR. A central part of the approach is finding out gaps in the environment by analyzing sensor data. Then, we choose one of the gaps we find as the sub-goal. Linear and angular velocities are provided by the approach considering nonholonomic mobile robots. The method does not rely on global planners and environment maps. Therefore, it has the advantages of low computational complexity and fast response, which is of great significance to robots with low computing power; it will also help to reduce the manufacturing cost of robots. In addition, simulations and real tests were performed using the Turtlebot2 robotic platform. Successful results are achieved in both simulations and experimental tests.https://www.mdpi.com/1424-8220/20/20/5802local path plannerscomplex environments2D LIDARTurtlebot2
spellingShingle Kai Yan
Baoli Ma
Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments
Sensors
local path planners
complex environments
2D LIDAR
Turtlebot2
title Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments
title_full Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments
title_fullStr Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments
title_full_unstemmed Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments
title_short Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments
title_sort mapless navigation based on 2d lidar in complex unknown environments
topic local path planners
complex environments
2D LIDAR
Turtlebot2
url https://www.mdpi.com/1424-8220/20/20/5802
work_keys_str_mv AT kaiyan maplessnavigationbasedon2dlidarincomplexunknownenvironments
AT baolima maplessnavigationbasedon2dlidarincomplexunknownenvironments