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Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints

Target searching is a well-known but difficult problem in many research domains, including computational intelligence, swarm intelligence, and robotics. The main goal is to search for the targets within the specific boundary with the minimum time that is required and the obstacle avoidance that has...

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Main Authors: Ismail, Zool Hilmi, Mohd. Hamami, Mohd. Ghazali
Format: Article
Published: MDPI AG 2021
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/95179/
http://dx.doi.org/10.3390/app11052383
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spelling my.utm.951792022-04-29T22:24:41Z http://eprints.utm.my/id/eprint/95179/ Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints Ismail, Zool Hilmi Mohd. Hamami, Mohd. Ghazali T Technology (General) Target searching is a well-known but difficult problem in many research domains, including computational intelligence, swarm intelligence, and robotics. The main goal is to search for the targets within the specific boundary with the minimum time that is required and the obstacle avoidance that has been equipped in place. Swarm robotics (SR) is an extension of the multi-robot system that particularly discovers a concept of coordination, collaboration, and communication among a large number of robots. Because the robots are collaborating and working together, the task that is given will be completed faster compared to using a single robot. Thus, searching for single or multiple targets with swarm robots is a significant and realistic approach. Robustness, flexibility, and scalability, which are supported by distributed sensing, also make the swarm robots strategy suitable for target searching problems in real-world applications. The purpose of this article is to deliver a systematic literature review of SR strategies that are applied to target search problems, so as to show which are being explored in the fields as well as the performance of current state-of-the-art SR approaches. This review extracts data from four scientific databases and filters with two established high-indexed databases (Scopus and Web of Science). Notably, 25 selected articles fell under two main categories in environment complexity, namely empty space and cluttered. There are four strategies which have been compiled for both empty space and cluttered categories, namely, bio-inspired mechanism, behavior-based mechanism, random strategy mechanism, and hybrid mechanism. MDPI AG 2021 Article PeerReviewed Ismail, Zool Hilmi and Mohd. Hamami, Mohd. Ghazali (2021) Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints. Applied Sciences (Switzerland), 11 (5). p. 2383. ISSN 2076-3417 http://dx.doi.org/10.3390/app11052383
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Ismail, Zool Hilmi
Mohd. Hamami, Mohd. Ghazali
Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
description Target searching is a well-known but difficult problem in many research domains, including computational intelligence, swarm intelligence, and robotics. The main goal is to search for the targets within the specific boundary with the minimum time that is required and the obstacle avoidance that has been equipped in place. Swarm robotics (SR) is an extension of the multi-robot system that particularly discovers a concept of coordination, collaboration, and communication among a large number of robots. Because the robots are collaborating and working together, the task that is given will be completed faster compared to using a single robot. Thus, searching for single or multiple targets with swarm robots is a significant and realistic approach. Robustness, flexibility, and scalability, which are supported by distributed sensing, also make the swarm robots strategy suitable for target searching problems in real-world applications. The purpose of this article is to deliver a systematic literature review of SR strategies that are applied to target search problems, so as to show which are being explored in the fields as well as the performance of current state-of-the-art SR approaches. This review extracts data from four scientific databases and filters with two established high-indexed databases (Scopus and Web of Science). Notably, 25 selected articles fell under two main categories in environment complexity, namely empty space and cluttered. There are four strategies which have been compiled for both empty space and cluttered categories, namely, bio-inspired mechanism, behavior-based mechanism, random strategy mechanism, and hybrid mechanism.
format Article
author Ismail, Zool Hilmi
Mohd. Hamami, Mohd. Ghazali
author_facet Ismail, Zool Hilmi
Mohd. Hamami, Mohd. Ghazali
author_sort Ismail, Zool Hilmi
title Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
title_short Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
title_full Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
title_fullStr Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
title_full_unstemmed Systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
title_sort systematic literature review of swarm robotics strategies applied to target search problem with environment constraints
publisher MDPI AG
publishDate 2021
url http://eprints.utm.my/id/eprint/95179/
http://dx.doi.org/10.3390/app11052383
_version_ 1732945441788526592
score 13.211869

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