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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 100 | - |
dc.citation.startPage | 83 | - |
dc.citation.title | ROBOTICS AND AUTONOMOUS SYSTEMS | - |
dc.citation.volume | 91 | - |
dc.contributor.author | Oh, Hyondong | - |
dc.contributor.author | Ramezan Shirazi, Ataollah | - |
dc.contributor.author | Sun, Chaoli | - |
dc.contributor.author | Jin, Yaochu | - |
dc.date.accessioned | 2023-12-21T22:16:22Z | - |
dc.date.available | 2023-12-21T22:16:22Z | - |
dc.date.created | 2017-03-24 | - |
dc.date.issued | 2017-05 | - |
dc.description.abstract | Self-organised emergent patterns can be widely seen in natural and man-made complex systems generated by interactions among local components without external or global control. This paper presents a survey of recent research advances in self-organising pattern formation in mobile multi-robot (or swarm robotic) systems. Relevant pattern formation methods are reviewed with a special focus on biologically-inspired self-organising approaches inspired from macroscopic collective behaviours or microscopic multicellular developing mechanisms. As the ultimate goal of this review is to provide insight into pattern formation using real robots, limitations and considerations on dealing with a large number of robots are discussed. In addition, guided self-organisation is also discussed as a design strategy where the swarm robotic system may be endowed with local rules for generating desired global patterns. | - |
dc.identifier.bibliographicCitation | ROBOTICS AND AUTONOMOUS SYSTEMS, v.91, pp.83 - 100 | - |
dc.identifier.doi | 10.1016/j.robot.2016.12.006 | - |
dc.identifier.issn | 0921-8890 | - |
dc.identifier.scopusid | 2-s2.0-85014992140 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/21669 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S0921889016300185 | - |
dc.identifier.wosid | 000396949800008 | - |
dc.language | 영어 | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | Bio-inspired self-organising multi-robot pattern formation: A review | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems; Computer Science, Artificial Intelligence; Robotics | - |
dc.relation.journalResearchArea | Automation & Control Systems; Computer Science; Robotics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Multi-robot systems | - |
dc.subject.keywordAuthor | Bio-inspired approaches | - |
dc.subject.keywordAuthor | Pattern formation | - |
dc.subject.keywordAuthor | Self-organising systems | - |
dc.subject.keywordAuthor | Swarm robotics | - |
dc.subject.keywordPlus | COHERENT STRUCTURES | - |
dc.subject.keywordPlus | STANDOFF TRACKING | - |
dc.subject.keywordPlus | GENE NETWORKS | - |
dc.subject.keywordPlus | MOBILE ROBOTS | - |
dc.subject.keywordPlus | SHAPE CONTROL | - |
dc.subject.keywordPlus | SWARM | - |
dc.subject.keywordPlus | ORGANIZATION | - |
dc.subject.keywordPlus | MORPHOGENESIS | - |
dc.subject.keywordPlus | COMMUNICATION | - |
dc.subject.keywordPlus | COORDINATION | - |
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