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Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)

In robot navigation, path planning is always the most crucial problem where robots should be able to move from starting position to goal position without colliding into any obstacle. This is because robot is unable to plan an optimum path in a known situation and obstacles available increases the di...

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Main Author:	Lim, Pei Yee
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/38996/1/EA18002_LIM_PEI_YEE_Thesis%20-%20Pei%20Yee%20Lim.pdf http://umpir.ump.edu.my/id/eprint/38996/
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id	my.ump.umpir.38996
record_format	eprints
spelling	my.ump.umpir.389962023-10-24T03:07:20Z http://umpir.ump.edu.my/id/eprint/38996/ Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam) Lim, Pei Yee TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering In robot navigation, path planning is always the most crucial problem where robots should be able to move from starting position to goal position without colliding into any obstacle. This is because robot is unable to plan an optimum path in a known situation and obstacles available increases the difficulty for robot to move according to the planned path in an environment. The current research in robot navigation is to implement an obstacle avoidance algorithm to a single mobile robot to realize the path planning of a mobile robot. However, there is still room for improvement such as implementing the obstacle avoidance algorithm into swarm robot. The objective of this study is to propose Bat Algorithm with Mutation (BAM) for solving the problem of obstacle avoidance of mobile robots. This project is completed by creating a wheeled mobile robot where the robot uses a P controller. Next, robot is trained to travel from one point to another point and inserted into a virtual environment with static obstacle. The obstacle avoidance algorithm is then implemented to the robot. Lastly, it can be seen that the robot is able to move in the planned path without colliding with the obstacle in the environment. 2022-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38996/1/EA18002_LIM_PEI_YEE_Thesis%20-%20Pei%20Yee%20Lim.pdf Lim, Pei Yee (2022) Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam). College of Engineering, Universiti Malaysia Pahang.
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Lim, Pei Yee Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
description	In robot navigation, path planning is always the most crucial problem where robots should be able to move from starting position to goal position without colliding into any obstacle. This is because robot is unable to plan an optimum path in a known situation and obstacles available increases the difficulty for robot to move according to the planned path in an environment. The current research in robot navigation is to implement an obstacle avoidance algorithm to a single mobile robot to realize the path planning of a mobile robot. However, there is still room for improvement such as implementing the obstacle avoidance algorithm into swarm robot. The objective of this study is to propose Bat Algorithm with Mutation (BAM) for solving the problem of obstacle avoidance of mobile robots. This project is completed by creating a wheeled mobile robot where the robot uses a P controller. Next, robot is trained to travel from one point to another point and inserted into a virtual environment with static obstacle. The obstacle avoidance algorithm is then implemented to the robot. Lastly, it can be seen that the robot is able to move in the planned path without colliding with the obstacle in the environment.
format	Undergraduates Project Papers
author	Lim, Pei Yee
author_facet	Lim, Pei Yee
author_sort	Lim, Pei Yee
title	Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
title_short	Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
title_full	Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
title_fullStr	Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
title_full_unstemmed	Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
title_sort	optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/38996/1/EA18002_LIM_PEI_YEE_Thesis%20-%20Pei%20Yee%20Lim.pdf http://umpir.ump.edu.my/id/eprint/38996/
_version_	1822923806976507904
score	13.232414

Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)

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