A novel algorithm for mobile robot path planning

Robot path planning is a methodology that guides a robot to accomplish a mission through an uncertain environment optimally and safely. The primary responsibility involved in path planning is environment modeling and path searching. Path planning is generally specified as given a robot and a summary...

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Main Authors: Muhammad, Aisha, Ali, Mohammed A. H., Shanono, Ibrahim Haruna
Format: Conference or Workshop Item
Published: 2021
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Online Access:http://eprints.um.edu.my/35409/
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Institution: Universiti Malaya
id my.um.eprints.35409
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spelling my.um.eprints.354092023-10-17T07:58:12Z http://eprints.um.edu.my/35409/ A novel algorithm for mobile robot path planning Muhammad, Aisha Ali, Mohammed A. H. Shanono, Ibrahim Haruna TJ Mechanical engineering and machinery Robot path planning is a methodology that guides a robot to accomplish a mission through an uncertain environment optimally and safely. The primary responsibility involved in path planning is environment modeling and path searching. Path planning is generally specified as given a robot and a summary of an environment to find a collision path between certain predefined points. This paper presented a novel algorithm called generalized Laser Simulator (GLS) for path finding in a global environment. The methodology of this research consists of global path planning. The proposed algorithm is designed and presented. Simulation results show the algorithm's effectiveness in finding an optimal path to the set goal point from a defined start point. Lastly, the proposed algorithm is compared with the Laser simulator (LS) and A*method to verify its effectiveness. The Generalized laser simulator has advantages in the total time and path length compared to A* and laser simulator algorithm. 2021-04 Conference or Workshop Item PeerReviewed Muhammad, Aisha and Ali, Mohammed A. H. and Shanono, Ibrahim Haruna (2021) A novel algorithm for mobile robot path planning. In: 11th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2021, 3 - 4 April 2021, Penang.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Muhammad, Aisha
Ali, Mohammed A. H.
Shanono, Ibrahim Haruna
A novel algorithm for mobile robot path planning
description Robot path planning is a methodology that guides a robot to accomplish a mission through an uncertain environment optimally and safely. The primary responsibility involved in path planning is environment modeling and path searching. Path planning is generally specified as given a robot and a summary of an environment to find a collision path between certain predefined points. This paper presented a novel algorithm called generalized Laser Simulator (GLS) for path finding in a global environment. The methodology of this research consists of global path planning. The proposed algorithm is designed and presented. Simulation results show the algorithm's effectiveness in finding an optimal path to the set goal point from a defined start point. Lastly, the proposed algorithm is compared with the Laser simulator (LS) and A*method to verify its effectiveness. The Generalized laser simulator has advantages in the total time and path length compared to A* and laser simulator algorithm.
format Conference or Workshop Item
author Muhammad, Aisha
Ali, Mohammed A. H.
Shanono, Ibrahim Haruna
author_facet Muhammad, Aisha
Ali, Mohammed A. H.
Shanono, Ibrahim Haruna
author_sort Muhammad, Aisha
title A novel algorithm for mobile robot path planning
title_short A novel algorithm for mobile robot path planning
title_full A novel algorithm for mobile robot path planning
title_fullStr A novel algorithm for mobile robot path planning
title_full_unstemmed A novel algorithm for mobile robot path planning
title_sort novel algorithm for mobile robot path planning
publishDate 2021
url http://eprints.um.edu.my/35409/
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