{"id":"https://openalex.org/W4386869735","doi":"https://doi.org/10.1109/lra.2023.3316896","title":"Improving Robot Proficiency Self-Assessment Via Meta-Assessment","display_name":"Improving Robot Proficiency Self-Assessment Via Meta-Assessment","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386869735","doi":"https://doi.org/10.1109/lra.2023.3316896"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2023.3316896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2023.3316896","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5066624236","display_name":"Xuan Cao","orcid":"https://orcid.org/0000-0002-7211-6999"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Cao","raw_affiliation_strings":["Computer Science Department, Brigham Young University, Provo, UT, USA"],"raw_orcid":"https://orcid.org/0000-0002-7211-6999","affiliations":[{"raw_affiliation_string":"Computer Science Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059420501","display_name":"Jacob W. Crandall","orcid":"https://orcid.org/0000-0002-5602-4146"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob W. Crandall","raw_affiliation_strings":["Computer Science Department, Brigham Young University, Provo, UT, USA"],"raw_orcid":"https://orcid.org/0000-0002-5602-4146","affiliations":[{"raw_affiliation_string":"Computer Science Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077345598","display_name":"Michael A. Goodrich","orcid":"https://orcid.org/0000-0002-2489-5705"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael A. Goodrich","raw_affiliation_strings":["Computer Science Department, Brigham Young University, Provo, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100005738"],"apc_list":null,"apc_paid":null,"fwci":0.5468,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77956432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9936000108718872,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6389694809913635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.573077917098999},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5175727605819702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5127092599868774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36323055624961853},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11019954085350037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10905405879020691}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6389694809913635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.573077917098999},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5175727605819702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5127092599868774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36323055624961853},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11019954085350037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10905405879020691},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2023.3316896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2023.3316896","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3336173364","display_name":null,"funder_award_id":"N00014-16-1-3025","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7953641807","display_name":null,"funder_award_id":"N00014-18-1-2503","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W612372977","https://openalex.org/W1598033630","https://openalex.org/W1618905105","https://openalex.org/W1719489212","https://openalex.org/W1963934847","https://openalex.org/W1988790447","https://openalex.org/W1990212011","https://openalex.org/W2095705004","https://openalex.org/W2098824882","https://openalex.org/W2101234009","https://openalex.org/W2130656620","https://openalex.org/W2164411961","https://openalex.org/W2254249950","https://openalex.org/W2531327146","https://openalex.org/W2548077621","https://openalex.org/W2626967530","https://openalex.org/W2765407302","https://openalex.org/W2786712888","https://openalex.org/W2792955190","https://openalex.org/W2911964244","https://openalex.org/W2933254221","https://openalex.org/W2956805085","https://openalex.org/W2963238274","https://openalex.org/W2964339591","https://openalex.org/W2970121940","https://openalex.org/W2970565181","https://openalex.org/W2979585146","https://openalex.org/W3004865641","https://openalex.org/W3035059588","https://openalex.org/W3035600444","https://openalex.org/W3038235410","https://openalex.org/W3102961490","https://openalex.org/W3111980464","https://openalex.org/W4223977507","https://openalex.org/W4224057949","https://openalex.org/W4232919069","https://openalex.org/W4285102526","https://openalex.org/W4287865413","https://openalex.org/W4366492961","https://openalex.org/W4383108402","https://openalex.org/W6617145748","https://openalex.org/W6635717444","https://openalex.org/W6636501900","https://openalex.org/W6674330103","https://openalex.org/W6675354045","https://openalex.org/W6684488266","https://openalex.org/W6691692454","https://openalex.org/W6728622933","https://openalex.org/W6729106125","https://openalex.org/W6730042731","https://openalex.org/W6739651123","https://openalex.org/W6745136726","https://openalex.org/W6748163547","https://openalex.org/W6761586423","https://openalex.org/W6772650050","https://openalex.org/W6773813882","https://openalex.org/W6780663757","https://openalex.org/W6786212429","https://openalex.org/W6810300553"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Proficiency":[0],"self-assessment":[1],"(PSA),":[2],"which":[3,31],"is":[4,16,66,74,76,132,144,212],"the":[5,33,47,63,71,80,92,96,103,106,109,119,122,124,135,151,154,179,185,207,218,223,228],"ability":[6],"to":[7,46,87],"estimate":[8],"how":[9],"likely":[10],"one":[11],"can":[12],"complete":[13,40],"a":[14,17,36,41,84,139,164,169,173],"task,":[15],"beneficial":[18],"property":[19],"for":[20,29],"autonomous":[21],"robots.":[22],"Prior":[23],"work":[24],"developed":[25],"theassumption-alignment":[26],"tracking(AAT)":[27],"method":[28],"PSA,":[30],"estimates":[32],"probability":[34,69,98],"that":[35,60,70,178],"robot":[37,125],"will":[38],"successfully":[39],"task.":[42],"This":[43],"paper":[44],"refers":[45],"prediction":[48,65,73],"made":[49,101],"by":[50,102,146,150,172,227],"AAT":[51],"as":[52,188,190],"thefirst-level":[53],"assessment(FLA),":[54],"and":[55,113,117,168,196],"further":[56],"proposes":[57],"asecond-level":[58],"assessment(SLA)":[59],"determines":[61],"whether":[62],"FLA":[64,72,186,208],"correct.":[67],"The":[68,129],"correct":[75],"conditioned":[77],"on":[78,134],"fourfeatures:(1)":[79],"mean":[81],"distance":[82],"from":[83],"test":[85],"sample":[86],"its":[88,114],"nearest":[89],"neighbors":[90],"in":[91],"training":[93],"set;":[94],"(2)":[95],"predicted":[97],"of":[99,121,220,222],"success":[100],"FLA;":[104],"(3)":[105],"ratio":[107],"between":[108],"robot's":[110],"current":[111],"performance":[112,115],"standard;":[116],"(4)":[118],"percentage":[120],"task":[123,167,171],"has":[126],"already":[127],"completed.":[128],"SLA":[130,180,229],"model":[131,181,187],"trained":[133],"four":[136,224],"features":[137,225],"using":[138,159],"Random":[140],"Forest":[141],"algorithm.":[142],"It":[143],"evaluated":[145],"two":[147],"metrics:discriminability,":[148],"measured":[149,158],"area":[152],"under":[153],"ROC":[155],"curve,":[156],"andcalibration,":[157],"expected":[160],"calibration":[161,192,195],"error.":[162],"On":[163],"simulated":[165],"navigation":[166],"manipulation":[170],"Sawyer":[174],"robot,":[175],"results":[176],"demonstrate":[177],"not":[182],"only":[183],"calibrates":[184],"well":[189],"existing":[191],"methods":[193],"(Platt":[194],"isotonic":[197],"regression),":[198],"but":[199],"also":[200,216],"produces":[201],"very":[202],"high":[203],"discriminability":[204,211],"even":[205],"if":[206],"model's":[209],"original":[210],"much":[213],"lower.":[214],"Results":[215],"indicate":[217],"usefulness":[219],"each":[221],"used":[226],"model.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}