{"id":"https://openalex.org/W4388849174","doi":"https://doi.org/10.1108/ir-07-2023-0156","title":"Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly","display_name":"Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4388849174","doi":"https://doi.org/10.1108/ir-07-2023-0156"},"language":"en","primary_location":{"id":"doi:10.1108/ir-07-2023-0156","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-07-2023-0156","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-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/A5077212966","display_name":"Weiwen Mu","orcid":"https://orcid.org/0000-0002-8440-2925"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwen Mu","raw_affiliation_strings":["Beijing Information Science and Technology University \u2013 Qinghe Xiaoying Campus, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University \u2013 Qinghe Xiaoying Campus, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045361189","display_name":"Wenbai Chen","orcid":"https://orcid.org/0000-0001-7683-2776"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbai Chen","raw_affiliation_strings":["Beijing Information Science and Technology University \u2013 Qinghe Xiaoying Campus, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University \u2013 Qinghe Xiaoying Campus, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034999805","display_name":"Huaidong Zhou","orcid":"https://orcid.org/0000-0002-7106-6555"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaidong Zhou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107272479","display_name":"Naijun Liu","orcid":"https://orcid.org/0009-0007-6623-0799"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naijun Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013665827","display_name":"Haobin Shi","orcid":"https://orcid.org/0000-0003-2180-8941"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haobin Shi","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037024339","display_name":"Jingchen Li","orcid":"https://orcid.org/0000-0003-0905-0816"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchen Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077212966"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":1.6638,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8609583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"51","issue":"1","first_page":"125","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7672433853149414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6436891555786133},{"id":"https://openalex.org/keywords/learning-environment","display_name":"Learning environment","score":0.4632275104522705},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.4214034676551819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38391804695129395},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3492587208747864},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33880293369293213}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7672433853149414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6436891555786133},{"id":"https://openalex.org/C2778365744","wikidata":"https://www.wikidata.org/wiki/Q2426689","display_name":"Learning environment","level":2,"score":0.4632275104522705},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.4214034676551819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38391804695129395},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3492587208747864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33880293369293213},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-07-2023-0156","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-07-2023-0156","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2025768430","https://openalex.org/W2047355416","https://openalex.org/W2218318129","https://openalex.org/W2434014514","https://openalex.org/W2518003110","https://openalex.org/W2605102758","https://openalex.org/W2735025040","https://openalex.org/W2781726626","https://openalex.org/W2952991114","https://openalex.org/W2976241900","https://openalex.org/W3035093572","https://openalex.org/W3041382148","https://openalex.org/W3091776553","https://openalex.org/W3140529280","https://openalex.org/W3167983015","https://openalex.org/W3175558129","https://openalex.org/W3177287750","https://openalex.org/W3209398723","https://openalex.org/W3216772467","https://openalex.org/W4207072548","https://openalex.org/W4220693283","https://openalex.org/W4297676427","https://openalex.org/W4318620358"],"related_works":["https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W20361778","https://openalex.org/W2024136090","https://openalex.org/W2964765435"],"abstract_inverted_index":{"Purpose":[0],"This":[1,49],"paper":[2],"aim":[3],"to":[4,24,44,65,120,147,216,244,265],"solve":[5],"the":[6,35,38,61,72,80,84,88,93,96,101,111,114,118,121,136,140,157,160,163,166,169,172,182,185,192,205,213,222,226,229,232,235,240,249,259,262,266,275,279],"problem":[7],"of":[8,142,165,171,174,194,225,251,255,278],"low":[9],"assembly":[10,15,36,39,46,199,283],"success":[11],"rate":[12,250],"for":[13,191],"3c":[14],"lines":[16],"designed":[17,207],"based":[18,56],"on":[19,57],"classical":[20],"control":[21],"algorithms":[22,33,144],"due":[23],"inevitable":[25],"random":[26],"disturbances":[27],"and":[28,75,83,124,168,253,273],"other":[29,183],"factors,by":[30],"incorporating":[31],"intelligent":[32],"into":[34],"line,":[37],"process":[40],"can":[41],"be":[42],"extended":[43],"uncertain":[45],"scenarios.":[47,131,200],"Design/methodology/approach":[48],"work":[50],"proposes":[51],"a":[52,67,107,152,208],"reinforcement":[53,97,178,241],"learning":[54,98,179,242],"framework":[55],"digital":[58,108,153,175,195,270],"twins.":[59],"First,":[60],"authors":[62,94,112,137,206,233,260],"used":[63,234],"Unity3D":[64],"build":[66],"simulation":[68,85,102,119,214],"environment":[69,82,86,123,215],"that":[70],"matches":[71],"real":[73,81,122,148],"scene":[74],"achieved":[76,125],"data":[77],"synchronization":[78],"between":[79],"through":[87,269],"robot":[89],"operating":[90],"system.":[91],"Then,":[92],"trained":[95],"model":[99],"in":[100,129,177,197,212],"environment.":[103,155,227],"Finally,":[104,258],"by":[105,150],"creating":[106],"twin":[109,154,271],"environment,":[110],"transferred":[113,261],"skill":[115],"learned":[116,263],"from":[117,145],"stable":[126],"algorithm":[127,167],"deployment":[128],"real-world":[130],"Findings":[132],"In":[133,202],"this":[134,203],"work,":[135,204],"have":[138],"completed":[139],"transfer":[141],"skill-learning":[143],"virtual":[146],"environments":[149],"establishing":[151],"On":[156,181],"one":[158],"hand,":[159,184],"experiment":[161],"proves":[162],"progressiveness":[164],"feasibility":[170],"application":[173,193],"twins":[176,196],"transfer.":[180],"experimental":[186],"results":[187],"also":[188],"provide":[189],"reference":[190],"3C":[198],"Originality/value":[201],"new":[209],"encoder":[210],"structure":[211],"encode":[217],"image":[218],"information,":[219],"which":[220,247],"improved":[221,248],"model\u2019s":[223],"perception":[224],"At":[228],"same":[230],"time,":[231],"fixed":[236],"strategy":[237,243],"combined":[238],"with":[239],"learn":[245],"skills,":[246],"convergence":[252],"stability":[254],"skills":[256,264],"learning.":[257],"physical":[267],"platform":[268],"technology":[272],"realized":[274],"safe":[276],"operation":[277],"flexible":[280],"printed":[281],"circuit":[282],"task.":[284]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
