{"id":"https://openalex.org/W2199376851","doi":"https://doi.org/10.1109/urai.2015.7358849","title":"A novel genetic algorithm for autonomous assembly of structural LEGO bricks","display_name":"A novel genetic algorithm for autonomous assembly of structural LEGO bricks","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2199376851","doi":"https://doi.org/10.1109/urai.2015.7358849","mag":"2199376851"},"language":"en","primary_location":{"id":"doi:10.1109/urai.2015.7358849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2015.7358849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","raw_type":"proceedings-article"},"type":"article","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/A5052277981","display_name":"Seung\u2010Mok Lee","orcid":"https://orcid.org/0000-0003-2197-1116"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Mok Lee","raw_affiliation_strings":["KAIST, Urban Robotics Laboratory, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Urban Robotics Laboratory, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113830289","display_name":"Kwang Yik Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang Yik Jung","raw_affiliation_strings":["KAIST, Urban Robotics Laboratory, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Urban Robotics Laboratory, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742650","display_name":"Jae Woo Kim","orcid":"https://orcid.org/0000-0003-3472-0180"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Woo Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059521863","display_name":"Hyun Myung","orcid":"https://orcid.org/0000-0002-5799-2026"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Myung","raw_affiliation_strings":["KAIST, Urban Robotics Laboratory, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Urban Robotics Laboratory, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80836896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9502999782562256,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brick","display_name":"Brick","score":0.920452892780304},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.782758355140686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6654137372970581},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46296998858451843},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4454786479473114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3165450394153595},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22857308387756348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20096427202224731},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.06103137135505676}],"concepts":[{"id":"https://openalex.org/C154226666","wikidata":"https://www.wikidata.org/wiki/Q40089","display_name":"Brick","level":2,"score":0.920452892780304},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.782758355140686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654137372970581},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46296998858451843},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4454786479473114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3165450394153595},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22857308387756348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20096427202224731},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.06103137135505676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/urai.2015.7358849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2015.7358849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W592580758","https://openalex.org/W1974096800","https://openalex.org/W2144799474","https://openalex.org/W6681304487"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W2383709437","https://openalex.org/W2730245355","https://openalex.org/W2051487156","https://openalex.org/W1973155652","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W2199376851"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,29],"novel":[4],"genetic":[5],"algorithm":[6],"(GA)":[7],"for":[8],"automatic":[9],"generation":[10],"of":[11,46,52],"LEGO":[12],"brick":[13,24,41],"layout.":[14],"The":[15],"proposed":[16,54,68],"GA":[17,69],"is":[18,64,70],"designed":[19],"to":[20],"always":[21],"generate":[22],"feasible":[23],"layout":[25,42],"in":[26,43],"accordance":[27],"with":[28],"given":[30],"3D":[31],"voxel":[32],"model":[33],"while":[34],"the":[35,44,50,53,61,67,74],"conventional":[36,75],"GA-based":[37],"approaches":[38],"produce":[39],"infeasible":[40],"majority":[45],"cases.":[47],"To":[48],"evaluate":[49],"effectiveness":[51],"approach,":[55],"computational":[56],"experiments":[57],"are":[58],"performed.":[59],"Through":[60],"experiments,":[62],"it":[63],"shown":[65],"that":[66],"more":[71],"effective":[72],"than":[73],"GA.":[76]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}