{"id":"https://openalex.org/W4406611958","doi":"https://doi.org/10.1109/smc54092.2024.10831018","title":"An Improved Adaptive Moment Estimation Algorithm for the Industrial Robot Calibration","display_name":"An Improved Adaptive Moment Estimation Algorithm for the Industrial Robot Calibration","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611958","doi":"https://doi.org/10.1109/smc54092.2024.10831018"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5072697023","display_name":"Tinghui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tinghui Chen","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092114880","display_name":"Shuai Li","orcid":"https://orcid.org/0009-0004-4499-0023"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["University of Oulu,Faculty of Information Technology and Electrical Engineering,Oulu,Finland,90570"],"affiliations":[{"raw_affiliation_string":"University of Oulu,Faculty of Information Technology and Electrical Engineering,Oulu,Finland,90570","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072697023"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.275,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59035867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9886999726295471,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9886999726295471,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9419999718666077,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9264000058174133,"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/moment","display_name":"Moment (physics)","score":0.7184300422668457},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6717810034751892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6269174814224243},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5326539874076843},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4466898739337921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4020240902900696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40042030811309814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3318459093570709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22237905859947205},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.141985684633255},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07028904557228088},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0680905282497406}],"concepts":[{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.7184300422668457},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6717810034751892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269174814224243},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5326539874076843},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4466898739337921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4020240902900696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40042030811309814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3318459093570709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22237905859947205},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.141985684633255},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07028904557228088},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0680905282497406},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/smc54092.2024.10831018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5799999833106995,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G8515641209","display_name":null,"funder_award_id":"62272078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2961913909","https://openalex.org/W3000284470","https://openalex.org/W3000389866","https://openalex.org/W3001849902","https://openalex.org/W3006521765","https://openalex.org/W3047753861","https://openalex.org/W3094071795","https://openalex.org/W3118283916","https://openalex.org/W3126587741","https://openalex.org/W3135201915","https://openalex.org/W3175527454","https://openalex.org/W3198527636","https://openalex.org/W3213397377","https://openalex.org/W3213920736","https://openalex.org/W4200597037","https://openalex.org/W4205678748","https://openalex.org/W4220779198","https://openalex.org/W4226113243","https://openalex.org/W4255692799","https://openalex.org/W4285166467","https://openalex.org/W4285238799","https://openalex.org/W4285242222","https://openalex.org/W4287890986","https://openalex.org/W4290189668","https://openalex.org/W4291653024","https://openalex.org/W4293107381","https://openalex.org/W4295046681","https://openalex.org/W4301594756","https://openalex.org/W4307233261","https://openalex.org/W4318953210","https://openalex.org/W4319990429","https://openalex.org/W4362678491","https://openalex.org/W4364322881","https://openalex.org/W4385453477","https://openalex.org/W4386074304","https://openalex.org/W4387092668","https://openalex.org/W4391306827","https://openalex.org/W4391641281","https://openalex.org/W4393238102","https://openalex.org/W4393241094","https://openalex.org/W4394863066","https://openalex.org/W6770035337"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W8302103","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W3171631314","https://openalex.org/W4383503847"],"abstract_inverted_index":{"Within":[0],"the":[1,77,82,88,91,115],"context":[2],"of":[3,84,90,129],"intelligent":[4],"manufacturing,":[5],"industrial":[6,111],"robots":[7],"have":[8],"a":[9,17,37,68,74,98],"pivotal":[10],"function.":[11],"Nonetheless,":[12],"extended":[13],"operational":[14],"periods":[15],"cause":[16],"decline":[18],"in":[19,122,127],"their":[20],"absolute":[21],"positioning":[22],"accuracy,":[23],"preventing":[24],"them":[25],"from":[26],"meeting":[27],"high":[28,69],"precision.":[29],"To":[30],"address":[31,139],"this":[32,34,132],"issue,":[33],"paper":[35],"presents":[36],"novel":[38],"robot":[39,112,123,140],"algorithm":[40,48,65,79,117,133],"that":[41,114],"combines":[42],"an":[43,60,109,135],"adaptive":[44,61],"and":[45,95],"momental":[46],"bound":[47],"with":[49],"decoupled":[50],"weight":[51,99],"decay":[52,100],"(AdaModW),":[53],"which":[54],"has":[55],"three-fold":[56],"ideas:":[57],"a)":[58],"adopting":[59],"moment":[62],"estimation":[63],"(Adam)":[64],"to":[66,80,102,138],"achieve":[67],"convergence":[70],"rate,":[71,94],"b)":[72],"introducing":[73],"hyperparameter":[75],"into":[76],"Adam":[78],"define":[81],"length":[83],"memory,":[85],"effectively":[86],"addressing":[87],"issue":[89],"abnormal":[92],"learning":[93],"c)":[96],"interpolating":[97],"coefficient":[101],"improve":[103],"its":[104,130],"generalization.":[105],"Numerous":[106],"experiments":[107],"on":[108],"HRS-JR680":[110],"show":[113],"presented":[116],"significantly":[118],"outperforms":[119],"state-of-the-art":[120],"algorithms":[121],"calibration":[124,141],"performance.":[125],"Thus,":[126],"light":[128],"reliability,":[131],"provides":[134],"efficient":[136],"way":[137],"concerns.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}