{"id":"https://openalex.org/W7118684684","doi":"https://doi.org/10.1109/indin64977.2025.11279056","title":"Deep Learning for Assembly Deviation Estimation: A UNet-based Contact Point Prediction Approach Using Mating Status Image","display_name":"Deep Learning for Assembly Deviation Estimation: A UNet-based Contact Point Prediction Approach Using Mating Status Image","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7118684684","doi":"https://doi.org/10.1109/indin64977.2025.11279056"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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/A5122210361","display_name":"Jiarui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Wang","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377341","display_name":"Junfeng Wang","orcid":"https://orcid.org/0000-0003-1699-2270"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Wang","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122290100","display_name":"Yixin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Dong","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074858804","display_name":"Yang Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Mao","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029666925","display_name":"Zijian Wang","orcid":"https://orcid.org/0009-0002-8224-0966"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Wang","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science & Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.8593999743461609,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.8593999743461609,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.04450000077486038,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.03150000050663948,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/deep-learning","display_name":"Deep learning","score":0.6726999878883362},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5307000279426575},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49810001254081726},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46880000829696655},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44279998540878296},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4372999966144562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6726999878883362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492000222206116},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5307000279426575},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49810001254081726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49630001187324524},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.40869998931884766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3833000063896179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36890000104904175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33880001306533813},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.33719998598098755},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W424915617","https://openalex.org/W1970078282","https://openalex.org/W2008701986","https://openalex.org/W2039338049","https://openalex.org/W2072976434","https://openalex.org/W2808072582","https://openalex.org/W2884236828","https://openalex.org/W2944796900","https://openalex.org/W2953072346","https://openalex.org/W2960994981","https://openalex.org/W3007268491","https://openalex.org/W3087811445","https://openalex.org/W4283812055","https://openalex.org/W4386072418","https://openalex.org/W4401902179","https://openalex.org/W4403637884"],"related_works":[],"abstract_inverted_index":{"Skin":[0],"model":[1,52],"shapes":[2,53],"have":[3],"emerged":[4],"as":[5,128],"a":[6,63,80,118,144],"critical":[7],"tool":[8],"in":[9,27,139,147],"assembly":[10,76,166],"deviation":[11,77,92,167],"analysis.":[12,168],"However,":[13],"the":[14,48,73,108,122,159],"traditional":[15],"analytical":[16],"methods":[17],"struggle":[18],"with":[19,30,54,121],"complex":[20],"geometries":[21],"and":[22,35,57,100,112,153,163],"nonlinear":[23,36],"relationships.":[24],"Recent":[25],"advances":[26,158],"deep":[28,55,154],"learning,":[29,155],"its":[31],"powerful":[32],"feature":[33],"extraction":[34],"modeling":[37],"capabilities,":[38],"present":[39],"promising":[40],"solutions":[41],"to":[42,71],"these":[43],"limitations.":[44],"This":[45],"paper":[46],"explores":[47],"integration":[49],"of":[50,67,75,124,165],"skin":[51],"learning":[56],"proposes":[58],"Mating":[59],"Status":[60],"Image":[61],"(MSI),":[62],"novel":[64],"2D":[65],"representation":[66],"3D":[68],"difference":[69],"surface,":[70],"facilitate":[72],"transition":[74,160],"analysis":[78],"towards":[79],"data-driven":[81],"paradigm.":[82],"The":[83],"proposed":[84],"Res-UNet":[85],"module":[86],"can":[87],"be":[88],"integrated":[89],"into":[90],"current":[91],"estimation":[93],"workflow,":[94],"enabling":[95],"parallel":[96],"contact":[97,140],"point":[98,141],"prediction":[99],"thereby":[101],"significantly":[102],"improving":[103],"computational":[104,148],"efficiency.":[105],"Based":[106],"on":[107],"discrete":[109],"cosine":[110],"transform":[111],"gaussian":[113],"random":[114],"field,":[115],"we":[116],"constructed":[117],"self-built":[119],"dataset,":[120],"result":[123],"centroid-driven":[125],"algorithm":[126],"serving":[127],"ground":[129],"truth.":[130],"Experiments":[131],"demonstrate":[132],"that":[133],"our":[134],"method":[135],"achieves":[136],"0.8238":[137],"accuracy":[138],"prediction,":[142],"alongside":[143],"significant":[145],"enhancement":[146],"speed.":[149],"By":[150],"leveraging":[151],"MSI":[152],"this":[156],"research":[157],"toward":[161],"intelligent":[162],"efficient":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-08T00:00:00"}