A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

Detaylı Bibliyografya
Yazar:	Khan, Md. Shadnan Azwad
Diğer Yazarlar:	Hasan, Mohammad S.
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2022
Konular:	Autonomous robots Multi-robot systems Performance analysis Search and rescue Swarm intelligence Robots. Automatic control engineering. Computer algorithms. Swarm intelligence.
Online Erişim:	http://hdl.handle.net/10361/16959

id	10361-16959
record_format	dspace
spelling	10361-169592022-06-12T21:01:35Z A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function Khan, Md. Shadnan Azwad Hasan, Mohammad S. Ahmed, Tarem Department of Computer Science and Engineering, Brac University Autonomous robots Multi-robot systems Performance analysis Search and rescue Swarm intelligence Robots. Automatic control engineering. Computer algorithms. Swarm intelligence. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-33). Swarm robotics is a decentralized approach to robotic systems. This paper exammes the problem of search and rescue using swarm robots. We present as solution a multi-robot search algorithm using probabilistic finite state machine and interaction inspired by Lennard-Jones potential function. The approach utilizes a finite state machine to separate the tasks performed and to change coordination rules according to the circumstances and social probabilities. The approach is tested in various scenarios to test flexibility, scalability and robustness. The performance results are promising and comparison with Robotic Darwinian Particle Swarm Optimization and Glowworm Swam Optimization for algorithmic complexity appear favourable. Md. Shadnan Azwad Khan B. Computer Science 2022-06-12T05:32:17Z 2022-06-12T05:32:17Z 2017 2017 Thesis ID 13321076 http://hdl.handle.net/10361/16959 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 33 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Autonomous robots Multi-robot systems Performance analysis Search and rescue Swarm intelligence Robots. Automatic control engineering. Computer algorithms. Swarm intelligence.
spellingShingle	Autonomous robots Multi-robot systems Performance analysis Search and rescue Swarm intelligence Robots. Automatic control engineering. Computer algorithms. Swarm intelligence. Khan, Md. Shadnan Azwad A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
author2	Hasan, Mohammad S.
author_facet	Hasan, Mohammad S. Khan, Md. Shadnan Azwad
format	Thesis
author	Khan, Md. Shadnan Azwad
author_sort	Khan, Md. Shadnan Azwad
title	A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function
title_short	A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function
title_full	A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function
title_fullStr	A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function
title_full_unstemmed	A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function
title_sort	new multi robot search algorithm using probabilistic finite state machine and lennard jones potential function
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/16959
work_keys_str_mv	AT khanmdshadnanazwad anewmultirobotsearchalgorithmusingprobabilisticfinitestatemachineandlennardjonespotentialfunction AT khanmdshadnanazwad newmultirobotsearchalgorithmusingprobabilisticfinitestatemachineandlennardjonespotentialfunction
_version_	1814309643578507264

A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function

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