Publicação
A bio-inspired approach for robot swarm in smart factories
| Resumo: | Recent theoretical developments have revealed that the influences and efficiency that mobile robots have brought to society in the last years are incredibly revealing and should be explored in applications for the benefit of the community and the corporate world. Access to this technology enables the development of innovative research for increasingly active industrial environments. This research constitutes a relatively new area which has emerged from the problems of the industry that aims to automate activities considered costly efficiently. A common strategy used to study mobile robots, in production, is to automate work routines through robots, but specific tasks improve specific works. This paper proposes a new approach to use a SWARM of mobile robots to solve problems in the industry based on the bio-inspired solution. The bacteria can have actions that guarantee the survival of their colony; for this purpose, a series of measures can be adopted by the bacteria constituting the colony. This approach has been widely adopted in the field of SWARM of mobile robots with technical and sensory restrictions, to realize a plausible application in the industrial environment. The results of the experiment found clear support for the methodology created, and the bio-inspired SWARM proved to be potentially useful for applications in real industrial robot solutions |
|---|---|
| Autores principais: | Rohrich, Ronnier Frates |
| Outros Autores: | Teixeira, Marco Antônio Simões; Piardi, Luis; Oliveira, Andre Schneider |
| Assunto: | Swarm of mobile robot Cognition mechanism Bacterial colony |
| Ano: | 2020 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172754768265216 |
|---|---|
| author | Rohrich, Ronnier Frates |
| author2 | Teixeira, Marco Antônio Simões Piardi, Luis Oliveira, Andre Schneider |
| author2_role | author author author |
| author_facet | Rohrich, Ronnier Frates Teixeira, Marco Antônio Simões Piardi, Luis Oliveira, Andre Schneider |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Rohrich, Ronnier Frates\"},{\"Person.name\":\"Teixeira, Marco Antônio Simões\"},{\"Person.name\":\"Piardi, Luis\",\"Person.identifier.orcid\":\"0000-0003-1627-8210\"},{\"Person.name\":\"Oliveira, Andre Schneider\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Rohrich, Ronnier Frates Teixeira, Marco Antônio Simões Piardi, Luis Oliveira, Andre Schneider |
| datacite.date.Accepted.fl_str_mv | 2020-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-04-03T08:49:42Z |
| datacite.date.embargoed.fl_str_mv | 2020-04-03T08:49:42Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Swarm of mobile robot Cognition mechanism Bacterial colony |
| datacite.titles.title.fl_str_mv | A bio-inspired approach for robot swarm in smart factories |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Rohrich, Ronnier Frates Teixeira, Marco Antônio Simões Piardi, Luis Oliveira, Andre Schneider |
| dc.date.Accepted.fl_str_mv | 2020-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-04-03T08:49:42Z |
| dc.date.embargoed.fl_str_mv | 2020-04-03T08:49:42Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/21436 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Swarm of mobile robot Cognition mechanism Bacterial colony |
| dc.title.fl_str_mv | A bio-inspired approach for robot swarm in smart factories |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | Recent theoretical developments have revealed that the influences and efficiency that mobile robots have brought to society in the last years are incredibly revealing and should be explored in applications for the benefit of the community and the corporate world. Access to this technology enables the development of innovative research for increasingly active industrial environments. This research constitutes a relatively new area which has emerged from the problems of the industry that aims to automate activities considered costly efficiently. A common strategy used to study mobile robots, in production, is to automate work routines through robots, but specific tasks improve specific works. This paper proposes a new approach to use a SWARM of mobile robots to solve problems in the industry based on the bio-inspired solution. The bacteria can have actions that guarantee the survival of their colony; for this purpose, a series of measures can be adopted by the bacteria constituting the colony. This approach has been widely adopted in the field of SWARM of mobile robots with technical and sensory restrictions, to realize a plausible application in the industrial environment. The results of the experiment found clear support for the methodology created, and the bio-inspired SWARM proved to be potentially useful for applications in real industrial robot solutions |
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| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/225d00ee-afd5-4761-9f48-d164da6536fb/download |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10198/21436 |
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| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
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| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/21436 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Rohrich, Ronnier Frates Teixeira, Marco Antônio Simões Piardi, Luis Piardi, Luis https://www.ciencia-id.pt/C51A-82DB-016F C51A-82DB-016F http://orcid.org/0000-0003-1627-8210 0000-0003-1627-8210 Oliveira, Andre Schneider |
| publishDate | 2020 |
| publisher.none.fl_str_mv | Springer |
| reponame_str | Biblioteca Digital do IPB |
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| spelling | engSpringerpt_PTRecent theoretical developments have revealed that the influences and efficiency that mobile robots have brought to society in the last years are incredibly revealing and should be explored in applications for the benefit of the community and the corporate world. Access to this technology enables the development of innovative research for increasingly active industrial environments. This research constitutes a relatively new area which has emerged from the problems of the industry that aims to automate activities considered costly efficiently. A common strategy used to study mobile robots, in production, is to automate work routines through robots, but specific tasks improve specific works. This paper proposes a new approach to use a SWARM of mobile robots to solve problems in the industry based on the bio-inspired solution. The bacteria can have actions that guarantee the survival of their colony; for this purpose, a series of measures can be adopted by the bacteria constituting the colony. This approach has been widely adopted in the field of SWARM of mobile robots with technical and sensory restrictions, to realize a plausible application in the industrial environment. The results of the experiment found clear support for the methodology created, and the bio-inspired SWARM proved to be potentially useful for applications in real industrial robot solutionsapplication/pdfpt_PTA bio-inspired approach for robot swarm in smart factoriesRohrich, Ronnier FratesTeixeira, Marco Antônio SimõesPersonalPiardi, LuisDSpacehttp://dspace.org/items/643e9664-ec9b-4b2f-b93c-6f3f8335fd61DSpacehttp://dspace.org/items/643e9664-ec9b-4b2f-b93c-6f3f8335fd61PiardiLuísCiência IDhttps://www.ciencia-id.ptC51A-82DB-016FORCIDhttp://orcid.org0000-0003-1627-8210Oliveira, Andre SchneiderHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.1007/978-3-030-36150-1_252020-04-03T08:49:42Z20202020-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/21436http://purl.org/coar/access_right/c_16ecrestricted accessSwarm of mobile robotCognition mechanismBacterial colony4057123 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paper2020http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/225d00ee-afd5-4761-9f48-d164da6536fb/download4th Iberian Robotics Conference, ROBOT 20191093303314Porto, Portugal |
| spellingShingle | A bio-inspired approach for robot swarm in smart factories Rohrich, Ronnier Frates Swarm of mobile robot Cognition mechanism Bacterial colony |
| status | SINGLETON |
| subject.fl_str_mv | Swarm of mobile robot Cognition mechanism Bacterial colony |
| title | A bio-inspired approach for robot swarm in smart factories |
| title_full | A bio-inspired approach for robot swarm in smart factories |
| title_fullStr | A bio-inspired approach for robot swarm in smart factories |
| title_full_unstemmed | A bio-inspired approach for robot swarm in smart factories |
| title_short | A bio-inspired approach for robot swarm in smart factories |
| title_sort | A bio-inspired approach for robot swarm in smart factories |
| topic | Swarm of mobile robot Cognition mechanism Bacterial colony |
| topic_facet | Swarm of mobile robot Cognition mechanism Bacterial colony |
| url | http://hdl.handle.net/10198/21436 |
| visible | 1 |