Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/686
DC FieldValueLanguage
dc.contributor.authorABABII, Victoren_US
dc.contributor.authorSUDACEVSCHI, Vioricaen_US
dc.contributor.authorBRANISTE, Rodicaen_US
dc.contributor.authorNISTIRIUC, Anaen_US
dc.contributor.authorMUNTEANU, Silviaen_US
dc.contributor.authorBOROZAN, Oleseaen_US
dc.date.accessioned2021-01-20T11:03:11Z-
dc.date.available2021-01-20T11:03:11Z-
dc.date.issued2020-
dc.identifier.citationV. Ababii, V. Sudacevschi, R. Braniste, A. Nistiriuc, S. Munteanu and O. Borozan, "Multi-Robot System Based on Swarm Intelligence for Optimal Solution Search," 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, 2020, pp. 1-5, doi: 10.1109/HORA49412.2020.9152926.en_US
dc.identifier.isbn978-1-7281-9352-6-
dc.identifier.urihttp://cris.utm.md/handle/5014/686-
dc.description26-28 June 2020, Ankara, Turkey, Turkeyen_US
dc.description.abstractThis work presents the results of the Multi-Robot System designing that works on the basis of Swarm Intelligence models and is used to search for optimal solutions. The process of searching for optimal solutions is performed based on a field of gradient vectors that can be generated by ionizing radiation sources, radio-electro-magnetic devices, temperature generating sources, etc. The concept of the operation System is based on the distribution in the search space of a multitude of Mobile Robots that form a Mesh network between them. Each Mobile Robot has a set of ultrasonic sensors for excluding the collisions with obstacles, two sensors for identifying the gradient vector of the analyzed field, resources for wireless storage, processing and communication. The direction of the Mobile Robot movement is determined by the rotational speed of two DC motors which is calculated based on the models of Artificial Neural Networks. Gradient vectors generated by all Mobile Robots in the system structure are used to calculate the movement direction.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectMulti-Robot Systemen_US
dc.subjectSwarm Intelligenceen_US
dc.subjectOptimal Solution Searchen_US
dc.subjectRadiation Sourcesen_US
dc.subjectGradient Fielden_US
dc.titleMulti-Robot System Based on Swarm Intelligence for Optimal Solution Searchen_US
dc.typeArticleen_US
dc.relation.conference2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)en_US
dc.identifier.doi10.1109/HORA49412.2020.9152926-
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextopen-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.orcid0000-0002-0769-8144-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
Appears in Collections:Proceedings Papers
Files in This Item:
File Description SizeFormat
Multi-Robot-System_Ababii-Sudacevschi-et-al.pdf301.59 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.