{"id":"https://openalex.org/W4389332330","doi":"https://doi.org/10.1109/lars/sbr/wre59448.2023.10332982","title":"An Application of Evolutionary Neural Networks for Mobile Robots Navigation and Dynamic Obstacles Avoidance","display_name":"An Application of Evolutionary Neural Networks for Mobile Robots Navigation and Dynamic Obstacles Avoidance","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4389332330","doi":"https://doi.org/10.1109/lars/sbr/wre59448.2023.10332982"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre59448.2023.10332982","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lars/sbr/wre59448.2023.10332982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106820326","display_name":"Mikael Nedel Hartmann","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mikael Nedel Hartmann","raw_affiliation_strings":["CPGEI UTFPR,Curitiba,Brazil","CPGEI UTFPR, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CPGEI UTFPR,Curitiba,Brazil","institution_ids":["https://openalex.org/I1283613182"]},{"raw_affiliation_string":"CPGEI UTFPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075496330","display_name":"Jo\u00e3o Alberto Fabro","orcid":"https://orcid.org/0000-0001-8975-0323"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Alberto Fabro","raw_affiliation_strings":["PPGCA UTFPR,Curitiba,Brazil","PPGCA UTFPR, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PPGCA UTFPR,Curitiba,Brazil","institution_ids":["https://openalex.org/I1283613182"]},{"raw_affiliation_string":"PPGCA UTFPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003180205","display_name":"Andr\u00e9 Schneider de Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Schneider De Oliveira","raw_affiliation_strings":["CPGEI UTFPR,Curitiba,Brazil","CPGEI UTFPR, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CPGEI UTFPR,Curitiba,Brazil","institution_ids":["https://openalex.org/I1283613182"]},{"raw_affiliation_string":"CPGEI UTFPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009972800","display_name":"Fl\u00e1vio Neves","orcid":"https://orcid.org/0000-0002-1627-1425"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavio Neves","raw_affiliation_strings":["CPGEI UTFPR,Curitiba,Brazil","CPGEI UTFPR, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CPGEI UTFPR,Curitiba,Brazil","institution_ids":["https://openalex.org/I1283613182"]},{"raw_affiliation_string":"CPGEI UTFPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283613182"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20311551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7055546641349792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713457703590393},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5880521535873413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5527655482292175},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44715332984924316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4340430796146393}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7055546641349792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713457703590393},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5880521535873413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5527655482292175},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44715332984924316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4340430796146393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre59448.2023.10332982","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lars/sbr/wre59448.2023.10332982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1480971826","https://openalex.org/W1516439244","https://openalex.org/W1968019664","https://openalex.org/W1992629886","https://openalex.org/W2007962810","https://openalex.org/W2057298516","https://openalex.org/W2068372186","https://openalex.org/W2096306412","https://openalex.org/W2152195021","https://openalex.org/W2158802104","https://openalex.org/W2344773908","https://openalex.org/W2602627001","https://openalex.org/W2737529802"],"related_works":["https://openalex.org/W2906946336","https://openalex.org/W2938416672","https://openalex.org/W2146611987","https://openalex.org/W4389432327","https://openalex.org/W4289599435","https://openalex.org/W2132660247","https://openalex.org/W1986528036","https://openalex.org/W2098534227","https://openalex.org/W3126153333","https://openalex.org/W2155757393"],"abstract_inverted_index":{"This":[0,73],"paper":[1],"explores":[2],"an":[3,30,45,97],"application":[4],"based":[5],"on":[6,133],"evolutionary":[7,64,98],"computation,":[8],"in":[9,96,106,113],"order":[10,114],"to":[11,28,67,77,115,119,139,149],"train":[12],"a":[13,107,134,140],"neural":[14,60,90,145],"network":[15,61,146],"for":[16],"reactive":[17],"navigation.":[18],"The":[19,41,89,143],"objective":[20],"of":[21,109,126],"the":[22,53,58,117,129,158],"mobile":[23],"robots":[24,50],"navigation":[25],"task":[26],"is":[27,44,75],"reach":[29],"arbitrary":[31],"destination":[32],"point,":[33],"without":[34,154],"colliding":[35],"with":[36,52,121],"static":[37],"or":[38],"dynamic":[39],"obstacles.":[40],"considered":[42,76],"environment":[43,74,136],"autonomous":[46],"factory,":[47],"where":[48],"multiple":[49],"(all":[51],"same":[54],"control":[55],"system":[56],"-":[57],"proposed":[59],"trained":[62],"by":[63],"procedures)":[65],"navigate":[66,151],"transfer":[68],"parts":[69],"between":[70,85],"processing":[71],"stations.":[72],"be":[78],"stochastic":[79],"and":[80,124],"dynamic,":[81],"because":[82],"robot\u2019s":[83],"paths":[84],"workstations":[86],"are":[87],"intertwined.":[88],"networks":[91],"training":[92,111],"was":[93,131,147],"carried":[94],"out":[95],"way":[99],"using":[100],"PSO":[101],"(particle":[102],"swarm":[103],"optimization)":[104],"algorithm":[105],"series":[108],"simulation":[110],"maps,":[112],"maximize":[116],"ability":[118],"cope":[120],"different":[122],"situations":[123],"complexities":[125],"environments.":[127],"Finally,":[128],"validation":[130],"performed":[132],"simulated":[135],"(map)":[137],"similar":[138],"real":[141],"factory.":[142],"obtained":[144],"able":[148],"successfully":[150],"several":[152],"robots,":[153],"collisions,":[155],"always":[156],"reaching":[157],"target":[159],"positions.":[160]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
