{"id":"https://openalex.org/W2775010814","doi":"https://doi.org/10.1109/icit.2018.8352157","title":"Automatic parameter learning for easy instruction of industrial collaborative robots","display_name":"Automatic parameter learning for easy instruction of industrial collaborative robots","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2775010814","doi":"https://doi.org/10.1109/icit.2018.8352157","mag":"2775010814"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2018.8352157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2018.8352157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Industrial Technology (ICIT)","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/A5011200327","display_name":"Lars Car\u00f8e S\u00f8rensen","orcid":"https://orcid.org/0000-0003-4165-5719"},"institutions":[{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]},{"id":"https://openalex.org/I184886455","display_name":"Maersk (Denmark)","ror":"https://ror.org/046gbzb64","country_code":"DK","type":"company","lineage":["https://openalex.org/I184886455"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Lars Caroe Sorensen","raw_affiliation_strings":["The M\u00e6rsk Mc-Kinney M\u00f8ller Institute, University of Southern Denmark, Odense, Denmark"],"affiliations":[{"raw_affiliation_string":"The M\u00e6rsk Mc-Kinney M\u00f8ller Institute, University of Southern Denmark, Odense, Denmark","institution_ids":["https://openalex.org/I184886455","https://openalex.org/I177969490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029816994","display_name":"Rasmus Andersen","orcid":"https://orcid.org/0000-0001-6788-8217"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Rasmus Skovgaard Andersen","raw_affiliation_strings":["Department of Materials and Production, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Materials and Production, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038975769","display_name":"Casper Schou","orcid":"https://orcid.org/0000-0001-7831-311X"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Casper Schou","raw_affiliation_strings":["Department of Materials and Production, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Materials and Production, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024921282","display_name":"Dirk Kraft","orcid":"https://orcid.org/0000-0002-6125-8481"},"institutions":[{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]},{"id":"https://openalex.org/I184886455","display_name":"Maersk (Denmark)","ror":"https://ror.org/046gbzb64","country_code":"DK","type":"company","lineage":["https://openalex.org/I184886455"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Dirk Kraft","raw_affiliation_strings":["The Maersk Me-Kinney Moller Institute University of Southern Denmark Odense, Denmark"],"affiliations":[{"raw_affiliation_string":"The Maersk Me-Kinney Moller Institute University of Southern Denmark Odense, Denmark","institution_ids":["https://openalex.org/I184886455","https://openalex.org/I177969490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011200327"],"corresponding_institution_ids":["https://openalex.org/I177969490","https://openalex.org/I184886455"],"apc_list":null,"apc_paid":null,"fwci":0.1874,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.46379974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9952999949455261,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9923999905586243,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.6662463545799255},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6259743571281433},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.537430465221405},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5220919847488403},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5155975222587585},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4865337908267975},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.48251792788505554},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44881337881088257},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42956608533859253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42796558141708374},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42382174730300903},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4211158752441406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4004260301589966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34420597553253174},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.33978718519210815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15689095854759216},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1467750072479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662463545799255},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6259743571281433},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.537430465221405},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5220919847488403},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5155975222587585},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4865337908267975},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.48251792788505554},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44881337881088257},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42956608533859253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42796558141708374},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42382174730300903},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4211158752441406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4004260301589966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34420597553253174},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.33978718519210815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15689095854759216},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1467750072479248},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icit.2018.8352157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2018.8352157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:sdu.dk:openaire_cris_publications/59684805-ffa5-420f-9abb-41563293c1e1","is_oa":false,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/59684805-ffa5-420f-9abb-41563293c1e1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"S\u00f8rensen, L C, Andersen, R S, Schou, C & Kraft, D 2018, Automatic Parameter Learning for Easy Instruction of Industrial Collaborative Robots. in IEEE International Conference on Industrial Technology. IEEE, pp. 87-92, 19th IEEE International Conference on Industrial Technology, Lyon, France, 20/02/2018. https://doi.org/10.1109/ICIT.2018.8352157","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/1f54395d-3edf-48b7-9ec5-7b671bd10f90","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8352157&isnumber=8352140","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"S\u00f8rensen, L C, Andersen, R S, Schou, C & Kraft, D 2018, Automatic Parameter Learning for Easy Instruction of Industrial Collaborative Robots. in Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018. vol. 2018-February, IEEE (Institute of Electrical and Electronics Engineers), pp. 87-92, 2018 IEEE International Conference on Industrial Technology, Lyon, France, 20/02/2018. https://doi.org/10.1109/ICIT.2018.8352157","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313796","display_name":"Innovationsfonden","ror":"https://ror.org/00daj4111"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W130216483","https://openalex.org/W638544165","https://openalex.org/W779291494","https://openalex.org/W1444095272","https://openalex.org/W1746819321","https://openalex.org/W2049752692","https://openalex.org/W2051910344","https://openalex.org/W2056753812","https://openalex.org/W2086113803","https://openalex.org/W2099201756","https://openalex.org/W2158873045","https://openalex.org/W2162445884","https://openalex.org/W2511350657","https://openalex.org/W4211049957","https://openalex.org/W4235773083","https://openalex.org/W6671837947","https://openalex.org/W6675200109","https://openalex.org/W6683393342"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"The":[0,77,129],"manufacturing":[1,27],"industry":[2],"faces":[3],"challenges":[4],"in":[5],"meeting":[6],"requirements":[7],"of":[8,17,26,74,125],"flexibility,":[9],"product":[10],"variability":[11],"and":[12,120],"small":[13],"batch":[14],"sizes.":[15],"Automation":[16],"high":[18],"mix,":[19],"low":[20],"volume":[21],"productions":[22],"requires":[23],"faster":[24],"(re)configuration":[25],"equipment.":[28],"These":[29],"demands":[30],"are":[31],"to":[32,47,51,67,96,112,137,153],"some":[33],"extend":[34],"accommodated":[35],"by":[36,85,144],"collaborative":[37,175],"robots.":[38],"Certain":[39],"actions":[40],"can":[41],"still":[42],"be":[43,169],"hard":[44],"or":[45],"impossible":[46],"manually":[48],"adjust":[49],"due":[50],"inherent":[52],"process":[53,75,83,160,165],"uncertainties.":[54],"This":[55],"paper":[56],"proposes":[57],"a":[58,88,154,174,179],"generic":[59],"iteratively":[60,86],"learning":[61],"approach":[62,78,150],"based":[63,99],"on":[64,92,100,116],"Bayesian":[65],"Optimisation":[66],"efficiently":[68],"search":[69],"for":[70],"the":[71,82,93,101,117,121,134,138],"optimal":[72],"set":[73],"parameters.":[76],"takes":[79],"into":[80],"account":[81],"uncertainties":[84],"making":[87],"statistical":[89],"founded":[90],"choice":[91],"next":[94],"parameter-set":[95],"examine":[97],"only":[98],"prior":[102],"binomial":[103],"outcomes.":[104],"Moreover,":[105],"our":[106,172],"function":[107,130],"estimator":[108,131],"uses":[109],"Wilson":[110],"Score":[111],"make":[113],"proper":[114],"estimates":[115],"success":[118],"probability":[119],"associated":[122],"uncertain":[123],"measure":[124],"sparsely":[126],"sampled":[127],"regions.":[128],"also":[132],"generalises":[133],"experiment":[135],"outcomes":[136],"neighbour":[139],"region":[140],"through":[141],"kernel":[142],"smoothing":[143],"integrating":[145],"Kernel":[146],"Density":[147],"Estimation.":[148],"Our":[149],"is":[151],"applied":[152],"real":[155],"industrial":[156],"task":[157],"with":[158],"significant":[159],"uncertainties,":[161],"where":[162],"sufficiently":[163],"robust":[164],"parameters":[166],"cannot":[167],"intuitively":[168],"chosen.":[170],"Using":[171],"approach,":[173],"robot":[176],"automatically":[177],"finds":[178],"reliable":[180],"solution.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
