A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach

The simultaneous control of multiple coordinated robotic agents represents an elaborate problem. If solved, however, the interaction between the agents can lead to solutions to sophisticated problems. The concept of swarming, inspired by nature, can be described as the emergence of complex system-le...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on emerging topics in computational intelligence 2020-08, Vol.4 (4), p.523-537
Hauptverfasser: Long, Nathan K., Sammut, Karl, Sgarioto, Daniel, Garratt, Matthew, Abbass, Hussein A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 537
container_issue 4
container_start_page 523
container_title IEEE transactions on emerging topics in computational intelligence
container_volume 4
creator Long, Nathan K.
Sammut, Karl
Sgarioto, Daniel
Garratt, Matthew
Abbass, Hussein A.
description The simultaneous control of multiple coordinated robotic agents represents an elaborate problem. If solved, however, the interaction between the agents can lead to solutions to sophisticated problems. The concept of swarming, inspired by nature, can be described as the emergence of complex system-level behaviors from the interactions of relatively elementary agents. Due to the effectiveness of solutions found in nature, bio-inspired swarming-based control techniques are receiving a lot of attention in robotics. One method, known as swarm shepherding, is founded on the sheep herding behavior exhibited by sheepdogs, where a swarm of relatively simple agents are governed by a shepherd (or shepherds) which is responsible for high-level guidance and planning. Many studies have been conducted on shepherding as a control technique, ranging from the replication of sheep herding via simulation, to the control of uninhabited vehicles and robots for a variety of applications. A comprehensive review of the literature on swarm shepherding is presented in order to reveal the advantages and potential of the approach to be applied to a plethora of robotic systems in the future.
doi_str_mv 10.1109/TETCI.2020.2992778
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2426666720</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9099485</ieee_id><sourcerecordid>2426666720</sourcerecordid><originalsourceid>FETCH-LOGICAL-c388t-601dcd97c12c337c88e7846e00dcc1f683f921c2e54c07ce8e9bc30055a2575e3</originalsourceid><addsrcrecordid>eNpNkEtLAzEUhYMoWKp_QDcB11PzmEySZS1aCwWhrdBdSDN3nBQ7GZM-8N87tUW8m3sX59xz-BC6o2RAKdGPi-fFaDJghJEB05pJqS5Qj-WSZkyJ5eW_-xrdprQmhDAtKBd5Dy2HeBQ2bYQamuT3gGew93DAocLzGtoaYumbD2wTtvjJh2zSpNZHKPH8YOMmm4VV2HqX8HjnS9s4wMO2jcG6-gZdVfYzwe1599H7S9fzNZu-jSej4TRzXKltVhBaulJLR5njXDqlQKq8AEJK52hVKF5pRh0DkTsiHSjQK8cJEcIyIQXwPno4_e1iv3aQtmYddrHpIg3LWdGNZKRTsZPKxZBShMq00W9s_DaUmCNE8wvRHCGaM8TOdH8yeQD4M2iida4E_wFtvG0e</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2426666720</pqid></control><display><type>article</type><title>A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach</title><source>IEEE Electronic Library (IEL)</source><creator>Long, Nathan K. ; Sammut, Karl ; Sgarioto, Daniel ; Garratt, Matthew ; Abbass, Hussein A.</creator><creatorcontrib>Long, Nathan K. ; Sammut, Karl ; Sgarioto, Daniel ; Garratt, Matthew ; Abbass, Hussein A.</creatorcontrib><description>The simultaneous control of multiple coordinated robotic agents represents an elaborate problem. If solved, however, the interaction between the agents can lead to solutions to sophisticated problems. The concept of swarming, inspired by nature, can be described as the emergence of complex system-level behaviors from the interactions of relatively elementary agents. Due to the effectiveness of solutions found in nature, bio-inspired swarming-based control techniques are receiving a lot of attention in robotics. One method, known as swarm shepherding, is founded on the sheep herding behavior exhibited by sheepdogs, where a swarm of relatively simple agents are governed by a shepherd (or shepherds) which is responsible for high-level guidance and planning. Many studies have been conducted on shepherding as a control technique, ranging from the replication of sheep herding via simulation, to the control of uninhabited vehicles and robots for a variety of applications. A comprehensive review of the literature on swarm shepherding is presented in order to reveal the advantages and potential of the approach to be applied to a plethora of robotic systems in the future.</description><identifier>ISSN: 2471-285X</identifier><identifier>EISSN: 2471-285X</identifier><identifier>DOI: 10.1109/TETCI.2020.2992778</identifier><identifier>CODEN: ITETCU</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Australia ; Autonomous vehicles ; Complex systems ; Dogs ; herding ; Literature reviews ; Logic gates ; Robot kinematics ; Robotics ; shepherding ; swarm guidance ; swarm intelligence ; swarm robotics ; Swarming ; uninhabited aerial vehicle (UAV) ; Vehicle dynamics</subject><ispartof>IEEE transactions on emerging topics in computational intelligence, 2020-08, Vol.4 (4), p.523-537</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-601dcd97c12c337c88e7846e00dcc1f683f921c2e54c07ce8e9bc30055a2575e3</citedby><cites>FETCH-LOGICAL-c388t-601dcd97c12c337c88e7846e00dcc1f683f921c2e54c07ce8e9bc30055a2575e3</cites><orcidid>0000-0002-7654-9978 ; 0000-0001-9969-082X ; 0000-0002-8837-0748 ; 0000-0003-0222-430X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9099485$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9099485$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Long, Nathan K.</creatorcontrib><creatorcontrib>Sammut, Karl</creatorcontrib><creatorcontrib>Sgarioto, Daniel</creatorcontrib><creatorcontrib>Garratt, Matthew</creatorcontrib><creatorcontrib>Abbass, Hussein A.</creatorcontrib><title>A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach</title><title>IEEE transactions on emerging topics in computational intelligence</title><addtitle>TETCI</addtitle><description>The simultaneous control of multiple coordinated robotic agents represents an elaborate problem. If solved, however, the interaction between the agents can lead to solutions to sophisticated problems. The concept of swarming, inspired by nature, can be described as the emergence of complex system-level behaviors from the interactions of relatively elementary agents. Due to the effectiveness of solutions found in nature, bio-inspired swarming-based control techniques are receiving a lot of attention in robotics. One method, known as swarm shepherding, is founded on the sheep herding behavior exhibited by sheepdogs, where a swarm of relatively simple agents are governed by a shepherd (or shepherds) which is responsible for high-level guidance and planning. Many studies have been conducted on shepherding as a control technique, ranging from the replication of sheep herding via simulation, to the control of uninhabited vehicles and robots for a variety of applications. A comprehensive review of the literature on swarm shepherding is presented in order to reveal the advantages and potential of the approach to be applied to a plethora of robotic systems in the future.</description><subject>Australia</subject><subject>Autonomous vehicles</subject><subject>Complex systems</subject><subject>Dogs</subject><subject>herding</subject><subject>Literature reviews</subject><subject>Logic gates</subject><subject>Robot kinematics</subject><subject>Robotics</subject><subject>shepherding</subject><subject>swarm guidance</subject><subject>swarm intelligence</subject><subject>swarm robotics</subject><subject>Swarming</subject><subject>uninhabited aerial vehicle (UAV)</subject><subject>Vehicle dynamics</subject><issn>2471-285X</issn><issn>2471-285X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkEtLAzEUhYMoWKp_QDcB11PzmEySZS1aCwWhrdBdSDN3nBQ7GZM-8N87tUW8m3sX59xz-BC6o2RAKdGPi-fFaDJghJEB05pJqS5Qj-WSZkyJ5eW_-xrdprQmhDAtKBd5Dy2HeBQ2bYQamuT3gGew93DAocLzGtoaYumbD2wTtvjJh2zSpNZHKPH8YOMmm4VV2HqX8HjnS9s4wMO2jcG6-gZdVfYzwe1599H7S9fzNZu-jSej4TRzXKltVhBaulJLR5njXDqlQKq8AEJK52hVKF5pRh0DkTsiHSjQK8cJEcIyIQXwPno4_e1iv3aQtmYddrHpIg3LWdGNZKRTsZPKxZBShMq00W9s_DaUmCNE8wvRHCGaM8TOdH8yeQD4M2iida4E_wFtvG0e</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Long, Nathan K.</creator><creator>Sammut, Karl</creator><creator>Sgarioto, Daniel</creator><creator>Garratt, Matthew</creator><creator>Abbass, Hussein A.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-7654-9978</orcidid><orcidid>https://orcid.org/0000-0001-9969-082X</orcidid><orcidid>https://orcid.org/0000-0002-8837-0748</orcidid><orcidid>https://orcid.org/0000-0003-0222-430X</orcidid></search><sort><creationdate>20200801</creationdate><title>A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach</title><author>Long, Nathan K. ; Sammut, Karl ; Sgarioto, Daniel ; Garratt, Matthew ; Abbass, Hussein A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-601dcd97c12c337c88e7846e00dcc1f683f921c2e54c07ce8e9bc30055a2575e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Australia</topic><topic>Autonomous vehicles</topic><topic>Complex systems</topic><topic>Dogs</topic><topic>herding</topic><topic>Literature reviews</topic><topic>Logic gates</topic><topic>Robot kinematics</topic><topic>Robotics</topic><topic>shepherding</topic><topic>swarm guidance</topic><topic>swarm intelligence</topic><topic>swarm robotics</topic><topic>Swarming</topic><topic>uninhabited aerial vehicle (UAV)</topic><topic>Vehicle dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Long, Nathan K.</creatorcontrib><creatorcontrib>Sammut, Karl</creatorcontrib><creatorcontrib>Sgarioto, Daniel</creatorcontrib><creatorcontrib>Garratt, Matthew</creatorcontrib><creatorcontrib>Abbass, Hussein A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on emerging topics in computational intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Long, Nathan K.</au><au>Sammut, Karl</au><au>Sgarioto, Daniel</au><au>Garratt, Matthew</au><au>Abbass, Hussein A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach</atitle><jtitle>IEEE transactions on emerging topics in computational intelligence</jtitle><stitle>TETCI</stitle><date>2020-08-01</date><risdate>2020</risdate><volume>4</volume><issue>4</issue><spage>523</spage><epage>537</epage><pages>523-537</pages><issn>2471-285X</issn><eissn>2471-285X</eissn><coden>ITETCU</coden><abstract>The simultaneous control of multiple coordinated robotic agents represents an elaborate problem. If solved, however, the interaction between the agents can lead to solutions to sophisticated problems. The concept of swarming, inspired by nature, can be described as the emergence of complex system-level behaviors from the interactions of relatively elementary agents. Due to the effectiveness of solutions found in nature, bio-inspired swarming-based control techniques are receiving a lot of attention in robotics. One method, known as swarm shepherding, is founded on the sheep herding behavior exhibited by sheepdogs, where a swarm of relatively simple agents are governed by a shepherd (or shepherds) which is responsible for high-level guidance and planning. Many studies have been conducted on shepherding as a control technique, ranging from the replication of sheep herding via simulation, to the control of uninhabited vehicles and robots for a variety of applications. A comprehensive review of the literature on swarm shepherding is presented in order to reveal the advantages and potential of the approach to be applied to a plethora of robotic systems in the future.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TETCI.2020.2992778</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-7654-9978</orcidid><orcidid>https://orcid.org/0000-0001-9969-082X</orcidid><orcidid>https://orcid.org/0000-0002-8837-0748</orcidid><orcidid>https://orcid.org/0000-0003-0222-430X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2471-285X
ispartof IEEE transactions on emerging topics in computational intelligence, 2020-08, Vol.4 (4), p.523-537
issn 2471-285X
2471-285X
language eng
recordid cdi_proquest_journals_2426666720
source IEEE Electronic Library (IEL)
subjects Australia
Autonomous vehicles
Complex systems
Dogs
herding
Literature reviews
Logic gates
Robot kinematics
Robotics
shepherding
swarm guidance
swarm intelligence
swarm robotics
Swarming
uninhabited aerial vehicle (UAV)
Vehicle dynamics
title A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T00%3A58%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Comprehensive%20Review%20of%20Shepherding%20as%20a%20Bio-Inspired%20Swarm-Robotics%20Guidance%20Approach&rft.jtitle=IEEE%20transactions%20on%20emerging%20topics%20in%20computational%20intelligence&rft.au=Long,%20Nathan%20K.&rft.date=2020-08-01&rft.volume=4&rft.issue=4&rft.spage=523&rft.epage=537&rft.pages=523-537&rft.issn=2471-285X&rft.eissn=2471-285X&rft.coden=ITETCU&rft_id=info:doi/10.1109/TETCI.2020.2992778&rft_dat=%3Cproquest_RIE%3E2426666720%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2426666720&rft_id=info:pmid/&rft_ieee_id=9099485&rfr_iscdi=true