Complete coverage path planning scheme for autonomous navigation ROS-based robots

In this paper, a new Complete Coverage Path Planning (CCPP) scheme is proposed which combines path planning and dynamic tracking for robot operating system-based robots. For the path planning, firstly a sub-area division algorithm is considered to decompose the occupancy map according to the wall or...

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Main Authors: Shengmin Zhao, Seung-Hoon Hwang
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959523000796
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author Shengmin Zhao
Seung-Hoon Hwang
author_facet Shengmin Zhao
Seung-Hoon Hwang
author_sort Shengmin Zhao
collection DOAJ
description In this paper, a new Complete Coverage Path Planning (CCPP) scheme is proposed which combines path planning and dynamic tracking for robot operating system-based robots. For the path planning, firstly a sub-area division algorithm is considered to decompose the occupancy map according to the wall or obstacle position after simultaneous localization and mapping process. For each sub-area, an “S” shape path planning is employed, and then a Bidirectional A-star connects them. Additionally, the dynamic tracking ensures that the robot moves continuously. Simulation results show that the coverage ratio of the planning path is improved as 98% by the proposed scheme.
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spelling doaj.art-b1e25adbac294cddbe56618e56ce6b002024-02-16T04:29:46ZengElsevierICT Express2405-95952024-02-011018389Complete coverage path planning scheme for autonomous navigation ROS-based robotsShengmin Zhao0Seung-Hoon Hwang1Division of Electronics and Electrical Engineering, Dongguk university, Seoul, Republic of KoreaCorresponding author.; Division of Electronics and Electrical Engineering, Dongguk university, Seoul, Republic of KoreaIn this paper, a new Complete Coverage Path Planning (CCPP) scheme is proposed which combines path planning and dynamic tracking for robot operating system-based robots. For the path planning, firstly a sub-area division algorithm is considered to decompose the occupancy map according to the wall or obstacle position after simultaneous localization and mapping process. For each sub-area, an “S” shape path planning is employed, and then a Bidirectional A-star connects them. Additionally, the dynamic tracking ensures that the robot moves continuously. Simulation results show that the coverage ratio of the planning path is improved as 98% by the proposed scheme.http://www.sciencedirect.com/science/article/pii/S2405959523000796Complete coverage path planning (CCPP)Robot operating system (ROS)Simultaneous localization and mapping (SLAM)Coverage path methodDynamic tracking method
spellingShingle Shengmin Zhao
Seung-Hoon Hwang
Complete coverage path planning scheme for autonomous navigation ROS-based robots
ICT Express
Complete coverage path planning (CCPP)
Robot operating system (ROS)
Simultaneous localization and mapping (SLAM)
Coverage path method
Dynamic tracking method
title Complete coverage path planning scheme for autonomous navigation ROS-based robots
title_full Complete coverage path planning scheme for autonomous navigation ROS-based robots
title_fullStr Complete coverage path planning scheme for autonomous navigation ROS-based robots
title_full_unstemmed Complete coverage path planning scheme for autonomous navigation ROS-based robots
title_short Complete coverage path planning scheme for autonomous navigation ROS-based robots
title_sort complete coverage path planning scheme for autonomous navigation ros based robots
topic Complete coverage path planning (CCPP)
Robot operating system (ROS)
Simultaneous localization and mapping (SLAM)
Coverage path method
Dynamic tracking method
url http://www.sciencedirect.com/science/article/pii/S2405959523000796
work_keys_str_mv AT shengminzhao completecoveragepathplanningschemeforautonomousnavigationrosbasedrobots
AT seunghoonhwang completecoveragepathplanningschemeforautonomousnavigationrosbasedrobots