{"id":"https://openalex.org/W2289345920","doi":"https://doi.org/10.1109/robio.2015.7418941","title":"Learning optimal measurement and control of assembly robot for large-scale heavy-weight parts","display_name":"Learning optimal measurement and control of assembly robot for large-scale heavy-weight parts","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2289345920","doi":"https://doi.org/10.1109/robio.2015.7418941","mag":"2289345920"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7418941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418941","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/A5038801276","display_name":"An Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"An Wan","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Department of Mechanical Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087396510","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0002-2997-2351"},"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Department of Mechanical Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005908452","display_name":"Song Zhang","orcid":"https://orcid.org/0000-0001-8452-4837"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064838942","display_name":"Zonghua Zhang","orcid":"https://orcid.org/0000-0002-6645-6647"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zonghua Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420347","display_name":"Ken Chen","orcid":"https://orcid.org/0000-0003-4013-5279"},"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Ken Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Department of Mechanical Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038801276"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.1317,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82817175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"1240","last_page":"1246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9957000017166138,"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":0.9957000017166138,"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":0.9944000244140625,"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/T13752","display_name":"Mechanics and Biomechanics Studies","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/robot","display_name":"Robot","score":0.7018932700157166},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.6690717935562134},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6265870332717896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5823611617088318},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5792700052261353},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5712409019470215},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.547921895980835},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.512169361114502},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4837031960487366},{"id":"https://openalex.org/keywords/industrial-robot","display_name":"Industrial robot","score":0.48146072030067444},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.4442172050476074},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4232836663722992},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.42293912172317505},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36038485169410706},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2969812750816345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28206467628479004},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2467307448387146},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.12112826108932495}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7018932700157166},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.6690717935562134},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6265870332717896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5823611617088318},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5792700052261353},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5712409019470215},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.547921895980835},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.512169361114502},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4837031960487366},{"id":"https://openalex.org/C2776126113","wikidata":"https://www.wikidata.org/wiki/Q1128980","display_name":"Industrial robot","level":3,"score":0.48146072030067444},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.4442172050476074},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4232836663722992},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.42293912172317505},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36038485169410706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2969812750816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28206467628479004},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2467307448387146},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.12112826108932495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7418941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418941","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":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326907","display_name":"State Key Laboratory of Robotics","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1669808722","https://openalex.org/W1976297733","https://openalex.org/W2012103918","https://openalex.org/W2042783124","https://openalex.org/W2044089809","https://openalex.org/W2056731056","https://openalex.org/W2082764616","https://openalex.org/W2085423270","https://openalex.org/W2145102215","https://openalex.org/W2153067921","https://openalex.org/W2153324618","https://openalex.org/W2155062174","https://openalex.org/W2167055252","https://openalex.org/W2545791857","https://openalex.org/W4231589206","https://openalex.org/W4253615028","https://openalex.org/W6682664746"],"related_works":["https://openalex.org/W2348187510","https://openalex.org/W3197589690","https://openalex.org/W2766493616","https://openalex.org/W2922441285","https://openalex.org/W2407180395","https://openalex.org/W2901276430","https://openalex.org/W4238033949","https://openalex.org/W3135439126","https://openalex.org/W2900509454","https://openalex.org/W1837495523"],"abstract_inverted_index":{"Due":[0],"to":[1,77,101,126,132,143],"their":[2],"advantages":[3],"of":[4,45,57,85],"high":[5,7,9],"speed,":[6],"accuracy,":[8],"flexibility,":[10],"and":[11,21,42,79,83,136,152],"low":[12],"cost,":[13],"assembly":[14,35,89,94,98,110,129,134,151,163],"robots":[15,47],"are":[16],"widely":[17],"used":[18],"in":[19],"electronics":[20],"automotive":[22],"industries.":[23],"However,":[24],"it":[25],"is":[26,75,124,141],"still":[27],"a":[28,86],"significant":[29],"challenge":[30],"for":[31,148],"large-scale,":[32],"heavy-weight":[33],"part":[34],"using":[36],"industrial":[37,46],"robots.":[38],"First,":[39],"the":[40,54,81,93,96,145,153,157,162],"deformation":[41,82],"motion":[43],"errors":[44],"caused":[48],"by":[49,165],"big":[50],"payload":[51],"cannot":[52],"meet":[53],"accuracy":[55],"requirement":[56],"large":[58,87,149],"structure":[59,88,150],"assembly.":[60],"To":[61,104],"solve":[62],"this":[63,105],"problem,":[64],"an":[65,109,120],"online":[66],"kinematics":[67],"compensation":[68],"method":[69,113,123,159],"based":[70,114],"on":[71,115],"Gaussian":[72],"Process":[73],"Regression":[74],"developed":[76,142],"predict":[78],"compensate":[80],"uncertainties":[84],"robot.":[90],"Second,":[91],"before":[92],"process,":[95],"optimal":[97,128],"path":[99,111],"has":[100],"be":[102],"planned.":[103],"end,":[106],"we":[107],"propose":[108],"planning":[112],"learning":[116],"from":[117],"demonstration.":[118],"Finally,":[119],"event-based":[121],"control":[122],"deployed":[125],"achieve":[127],"cycle":[130],"time":[131],"improve":[133,161],"efficiency":[135,164],"performance.":[137],"An":[138],"experimental":[139],"system":[140],"validate":[144],"proposed":[146,158],"algorithm":[147],"results":[154],"demonstrate":[155],"that":[156],"can":[160],"more":[166],"than":[167],"40%.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}