{"id":"https://openalex.org/W2291456410","doi":"https://doi.org/10.1109/robio.2015.7418895","title":"Improving efficiency with orthogonal exploration for online robotic assembly parameter optimization","display_name":"Improving efficiency with orthogonal exploration for online robotic assembly parameter optimization","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2291456410","doi":"https://doi.org/10.1109/robio.2015.7418895","mag":"2291456410"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7418895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5077126892","display_name":"Binglong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binglong Wu","raw_affiliation_strings":["State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112460364","display_name":"Daokui Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daokui Qu","raw_affiliation_strings":["State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101844312","display_name":"Fang Xu","orcid":"https://orcid.org/0000-0002-6762-311X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Xu","raw_affiliation_strings":["State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1522,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83159938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"abs 1204 47","issue":null,"first_page":"958","last_page":"963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9973000288009644,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9962999820709229,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.6302967667579651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161719560623169},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5887147784233093},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5716136693954468},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5615991950035095},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.455474853515625},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4213820695877075},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41332727670669556},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40155625343322754},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.391730397939682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35062068700790405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22733062505722046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20171049237251282},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11272469162940979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10515144467353821}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6302967667579651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161719560623169},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5887147784233093},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5716136693954468},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5615991950035095},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.455474853515625},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4213820695877075},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41332727670669556},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40155625343322754},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.391730397939682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35062068700790405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22733062505722046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20171049237251282},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11272469162940979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10515144467353821},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7418895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W157259654","https://openalex.org/W622321019","https://openalex.org/W1746819321","https://openalex.org/W1921773653","https://openalex.org/W1983354559","https://openalex.org/W2000676112","https://openalex.org/W2010048770","https://openalex.org/W2011174137","https://openalex.org/W2016080724","https://openalex.org/W2137786594","https://openalex.org/W2143075311","https://openalex.org/W2402776809","https://openalex.org/W2468462628","https://openalex.org/W4211049957","https://openalex.org/W4300570015","https://openalex.org/W6606420716","https://openalex.org/W6619756871","https://openalex.org/W6629804754","https://openalex.org/W6640307261","https://openalex.org/W6713232691","https://openalex.org/W6719982585"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W298893735","https://openalex.org/W2199291344","https://openalex.org/W2167342507","https://openalex.org/W4247222564","https://openalex.org/W4221140712","https://openalex.org/W2211316729","https://openalex.org/W3123323883","https://openalex.org/W2151794096","https://openalex.org/W2017140292"],"abstract_inverted_index":{"In":[0,55,215],"this":[1,12,75,161,216,254],"paper,":[2,217],"an":[3,138],"online":[4,139],"robotic":[5,79,140,185],"assembly":[6,49,73,80,141,213,219,252],"parameter":[7,142],"optimization":[8,143],"method":[9,13,162,207,225,233,244,255],"is":[10,67,77,146,189],"developed,":[11],"make":[14],"industrial":[15,42],"robots":[16,43],"can":[17,163,174,208,256],"assemble":[18],"workpiece":[19],"from":[20],"unskilled":[21],"to":[22,57,69,98,120,248],"skilled":[23],"just":[24],"like":[25],"human's":[26],"learning":[27],"behavior.":[28],"With":[29],"the":[30,33,41,59,71,100,111,116,128,157,165,176,181,204,241,250],"development":[31],"of":[32,64,93,130,197,230],"force":[34,38],"sensor":[35],"technology":[36],"and":[37,61,107,199,234],"control":[39],"technology,":[40],"are":[44,52,86,95,104,221],"used":[45,87,210],"in":[46],"high":[47,193],"precision":[48],"tasks":[50],"which":[51,103,145],"more":[53,246],"complicated.":[54],"order":[56],"ensure":[58],"efficiency":[60,247],"success":[62],"rate":[63],"assembly,":[65],"it":[66,125],"necessary":[68],"select":[70],"appropriate":[72],"parameters,":[74,102,253],"problem":[76],"called":[78,147],"parameters":[81,177,183],"optimization.":[82],"The":[83,172,223],"traditional":[84,117],"solutions":[85,118],"by":[88],"artificial":[89,170],"methods,":[90],"a":[91],"lot":[92],"experiments":[94,123,220,231],"carried":[96],"out":[97],"get":[99],"optimal":[101,182,251],"very":[105],"time-consuming":[106],"laborious.":[108],"Especially":[109],"when":[110],"production":[112],"line":[113],"changes,":[114],"using":[115],"have":[119],"do":[121],"heavy":[122],"again,":[124],"can't":[126],"meet":[127],"requirements":[129],"today's":[131],"flexible":[132],"manufacturing":[133],"requirements.":[134],"This":[135],"paper":[136],"presents":[137],"method,":[144],"Gaussian":[148],"Process":[149],"Regression":[150],"surrogated":[151],"Bayesian":[152],"Optimization":[153],"Algorithm":[154],"based":[155],"on":[156],"Orthogonal":[158],"Exploration":[159],"(OE-GPRBOA),":[160],"liberate":[164],"labor,":[166],"does":[167],"not":[168],"require":[169],"participation.":[171],"algorithm":[173],"optimize":[175],"autonomously,":[178],"finally":[179],"find":[180,249],"for":[184,191,211],"assembly.":[186],"For":[187],"GPR":[188],"suitable":[190],"processing":[192],"dimension,":[194],"small":[195],"size":[196],"sample":[198],"nonlinear":[200],"complex":[201],"regression":[202],"problems,":[203],"proposed":[205,224,242],"OE-GPRBOA":[206,243],"be":[209],"various":[212],"tasks.":[214],"peg-in-hole":[218],"performed.":[222],"also":[226],"compared":[227],"with":[228],"design":[229],"(DOE)":[232],"GPRBOA":[235],"method.":[236],"Experimental":[237],"results":[238],"show":[239],"that,":[240],"has":[245],"generate":[257],"big":[258],"economic":[259],"impact.":[260]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}