Loading…

Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review

Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foun...

Full description

Saved in:
Bibliographic Details
Published in:AppliedMath 2024-12, Vol.4 (4), p.1192-1210
Main Author: Nguyen, Luong Vuong
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c194t-1491456822aa5927d1d6923648a1c2dc8d663292c1040675afe1608e87d0b6713
container_end_page 1210
container_issue 4
container_start_page 1192
container_title AppliedMath
container_volume 4
creator Nguyen, Luong Vuong
description Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources. The review highlights how principles derived from natural swarms, such as those of ants, bees, and birds, can be harnessed to enhance the efficiency, robustness, and scalability of multi-robot systems. We explore key advancements, ongoing challenges, and potential future directions. Through this extensive examination, we aim to provide a foundational understanding and a detailed taxonomy of SI research, paving the way for further innovation and development in theoretical and applied contexts.
doi_str_mv 10.3390/appliedmath4040064
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d0802e055dd541758e4ab58f7e31ba1c</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_d0802e055dd541758e4ab58f7e31ba1c</doaj_id><sourcerecordid>oai_doaj_org_article_d0802e055dd541758e4ab58f7e31ba1c</sourcerecordid><originalsourceid>FETCH-LOGICAL-c194t-1491456822aa5927d1d6923648a1c2dc8d663292c1040675afe1608e87d0b6713</originalsourceid><addsrcrecordid>eNplkM1Kw0AUhQdRsNS-gKu8QPTO_4wbqcWfQkWoug6TzE07JW3CTKz49kYrIrg6h7P4zr2HkHMKF5xbuHRd1wT0W9evBQgAJY7IiCnNc2vBHv_xp2SS0gYAmJGaazMi18_vLm6z-a7Hpgkr3FWY37iEPnt8a_qQL9uy7UOVrrJpNmu3XcQ17lLYY7bEfcD3M3JSuybh5EfH5PXu9mX2kC-e7uez6SKvqBV9ToWlQirDmHPSMu2pV5ZxJYyjFfOV8UpxZllFhweUlq5GqsCg0R5KpSkfk_mB61u3KboYti5-FK0LxXfQxlXh4nBog4UHAwxBSu-loFoaFK6UptbIaTnUDSx2YFWxTSli_cujUHwtWvxflH8CH69qUA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review</title><source>DOAJ Directory of Open Access Journals</source><creator>Nguyen, Luong Vuong</creator><creatorcontrib>Nguyen, Luong Vuong</creatorcontrib><description>Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources. The review highlights how principles derived from natural swarms, such as those of ants, bees, and birds, can be harnessed to enhance the efficiency, robustness, and scalability of multi-robot systems. We explore key advancements, ongoing challenges, and potential future directions. Through this extensive examination, we aim to provide a foundational understanding and a detailed taxonomy of SI research, paving the way for further innovation and development in theoretical and applied contexts.</description><identifier>ISSN: 2673-9909</identifier><identifier>EISSN: 2673-9909</identifier><identifier>DOI: 10.3390/appliedmath4040064</identifier><language>eng</language><publisher>MDPI AG</publisher><subject>multi-robotics ; swarm intelligence ; swarm robots</subject><ispartof>AppliedMath, 2024-12, Vol.4 (4), p.1192-1210</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c194t-1491456822aa5927d1d6923648a1c2dc8d663292c1040675afe1608e87d0b6713</cites><orcidid>0000-0002-4680-1984</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2096,27901,27902</link.rule.ids></links><search><creatorcontrib>Nguyen, Luong Vuong</creatorcontrib><title>Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review</title><title>AppliedMath</title><description>Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources. The review highlights how principles derived from natural swarms, such as those of ants, bees, and birds, can be harnessed to enhance the efficiency, robustness, and scalability of multi-robot systems. We explore key advancements, ongoing challenges, and potential future directions. Through this extensive examination, we aim to provide a foundational understanding and a detailed taxonomy of SI research, paving the way for further innovation and development in theoretical and applied contexts.</description><subject>multi-robotics</subject><subject>swarm intelligence</subject><subject>swarm robots</subject><issn>2673-9909</issn><issn>2673-9909</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNplkM1Kw0AUhQdRsNS-gKu8QPTO_4wbqcWfQkWoug6TzE07JW3CTKz49kYrIrg6h7P4zr2HkHMKF5xbuHRd1wT0W9evBQgAJY7IiCnNc2vBHv_xp2SS0gYAmJGaazMi18_vLm6z-a7Hpgkr3FWY37iEPnt8a_qQL9uy7UOVrrJpNmu3XcQ17lLYY7bEfcD3M3JSuybh5EfH5PXu9mX2kC-e7uez6SKvqBV9ToWlQirDmHPSMu2pV5ZxJYyjFfOV8UpxZllFhweUlq5GqsCg0R5KpSkfk_mB61u3KboYti5-FK0LxXfQxlXh4nBog4UHAwxBSu-loFoaFK6UptbIaTnUDSx2YFWxTSli_cujUHwtWvxflH8CH69qUA</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Nguyen, Luong Vuong</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4680-1984</orcidid></search><sort><creationdate>20241201</creationdate><title>Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review</title><author>Nguyen, Luong Vuong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c194t-1491456822aa5927d1d6923648a1c2dc8d663292c1040675afe1608e87d0b6713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>multi-robotics</topic><topic>swarm intelligence</topic><topic>swarm robots</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nguyen, Luong Vuong</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>AppliedMath</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nguyen, Luong Vuong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review</atitle><jtitle>AppliedMath</jtitle><date>2024-12-01</date><risdate>2024</risdate><volume>4</volume><issue>4</issue><spage>1192</spage><epage>1210</epage><pages>1192-1210</pages><issn>2673-9909</issn><eissn>2673-9909</eissn><abstract>Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources. The review highlights how principles derived from natural swarms, such as those of ants, bees, and birds, can be harnessed to enhance the efficiency, robustness, and scalability of multi-robot systems. We explore key advancements, ongoing challenges, and potential future directions. Through this extensive examination, we aim to provide a foundational understanding and a detailed taxonomy of SI research, paving the way for further innovation and development in theoretical and applied contexts.</abstract><pub>MDPI AG</pub><doi>10.3390/appliedmath4040064</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-4680-1984</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2673-9909
ispartof AppliedMath, 2024-12, Vol.4 (4), p.1192-1210
issn 2673-9909
2673-9909
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_d0802e055dd541758e4ab58f7e31ba1c
source DOAJ Directory of Open Access Journals
subjects multi-robotics
swarm intelligence
swarm robots
title Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T05%3A00%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Swarm%20Intelligence-Based%20Multi-Robotics:%20A%20Comprehensive%20Review&rft.jtitle=AppliedMath&rft.au=Nguyen,%20Luong%20Vuong&rft.date=2024-12-01&rft.volume=4&rft.issue=4&rft.spage=1192&rft.epage=1210&rft.pages=1192-1210&rft.issn=2673-9909&rft.eissn=2673-9909&rft_id=info:doi/10.3390/appliedmath4040064&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_d0802e055dd541758e4ab58f7e31ba1c%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c194t-1491456822aa5927d1d6923648a1c2dc8d663292c1040675afe1608e87d0b6713%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true