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: Zool Hilmi Ismail, Mohd Ghazali Mohd Hamami
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/5/2383
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author Zool Hilmi Ismail
Mohd Ghazali Mohd Hamami
author_facet Zool Hilmi Ismail
Mohd Ghazali Mohd Hamami
author_sort Zool Hilmi Ismail
collection DOAJ
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.
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spelling doaj.art-9821c1325e9b4673935d4b5ba8ca5c112023-12-03T12:56:54ZengMDPI AGApplied Sciences2076-34172021-03-01115238310.3390/app11052383Systematic Literature Review of Swarm Robotics Strategies Applied to Target Search Problem with Environment ConstraintsZool Hilmi Ismail0Mohd Ghazali Mohd Hamami1Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, MalaysiaMalaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, MalaysiaTarget 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.https://www.mdpi.com/2076-3417/11/5/2383artificial intelligenceswarm intelligenceswarm roboticssystematic literature reviewtarget search
spellingShingle Zool Hilmi Ismail
Mohd Ghazali Mohd Hamami
Systematic Literature Review of Swarm Robotics Strategies Applied to Target Search Problem with Environment Constraints
Applied Sciences
artificial intelligence
swarm intelligence
swarm robotics
systematic literature review
target search
title 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_short 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
topic artificial intelligence
swarm intelligence
swarm robotics
systematic literature review
target search
url https://www.mdpi.com/2076-3417/11/5/2383
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