{"id":"https://openalex.org/W4393241213","doi":"https://doi.org/10.1109/lra.2024.3382528","title":"Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling","display_name":"Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393241213","doi":"https://doi.org/10.1109/lra.2024.3382528"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2024.3382528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3382528","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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/A5083642462","display_name":"Morgan Windsor","orcid":"https://orcid.org/0000-0002-2945-2890"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Morgan Windsor","raw_affiliation_strings":["QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2945-2890","affiliations":[{"raw_affiliation_string":"QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056412871","display_name":"Alejandro Fontan","orcid":"https://orcid.org/0000-0002-5909-8415"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alejandro Fontan","raw_affiliation_strings":["QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5909-8415","affiliations":[{"raw_affiliation_string":"QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063647356","display_name":"Peter Pivonka","orcid":"https://orcid.org/0000-0001-9183-530X"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter Pivonka","raw_affiliation_strings":["QUT Centre for Biomedical Technologies, School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9183-530X","affiliations":[{"raw_affiliation_string":"QUT Centre for Biomedical Technologies, School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078340555","display_name":"Michael Milford","orcid":"https://orcid.org/0000-0002-5162-1793"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael J Milford","raw_affiliation_strings":["QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5162-1793","affiliations":[{"raw_affiliation_string":"QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":null,"apc_paid":null,"fwci":0.2864,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55052113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"9","issue":"5","first_page":"4591","last_page":"4598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9814000129699707,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9814000129699707,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9726999998092651,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9702000021934509,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.8538846969604492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223762035369873},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6104738712310791},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6008453965187073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5796709060668945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33870571851730347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.324370414018631},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1761203110218048},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.04818877577781677}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.8538846969604492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223762035369873},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6104738712310791},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6008453965187073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796709060668945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33870571851730347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.324370414018631},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1761203110218048},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.04818877577781677}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lra.2024.3382528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3382528","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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"},{"id":"pmh:oai:eprints.qut.edu.au:247868","is_oa":false,"landing_page_url":"http://purl.org/au-research/grants/arc/IC190100020","pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"Contribution to Journal"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G1927727213","display_name":null,"funder_award_id":"FL210100156","funder_id":"https://openalex.org/F4320320983","funder_display_name":"Queensland University of Technology"},{"id":"https://openalex.org/G3371149755","display_name":null,"funder_award_id":"IC190100020","funder_id":"https://openalex.org/F4320338255","funder_display_name":"ARC Industrial Transformation Training Centre for Uniquely Australian Foods"},{"id":"https://openalex.org/G4318604150","display_name":null,"funder_award_id":"IC190100020","funder_id":"https://openalex.org/F4320315885","funder_display_name":"Australian Government"},{"id":"https://openalex.org/G4422574053","display_name":null,"funder_award_id":"IC190100020","funder_id":"https://openalex.org/F4320320983","funder_display_name":"Queensland University of Technology"}],"funders":[{"id":"https://openalex.org/F2991578505","display_name":"Centre for Robotics, Queensland University of Technology","ror":null},{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320983","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752"},{"id":"https://openalex.org/F4320338255","display_name":"ARC Industrial Transformation Training Centre for Uniquely Australian Foods","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1588884749","https://openalex.org/W1970132064","https://openalex.org/W1991544872","https://openalex.org/W1994349244","https://openalex.org/W2005489441","https://openalex.org/W2097649661","https://openalex.org/W2151103935","https://openalex.org/W2412515392","https://openalex.org/W2584979312","https://openalex.org/W2761882052","https://openalex.org/W2768890541","https://openalex.org/W2801667201","https://openalex.org/W2810685774","https://openalex.org/W2888141594","https://openalex.org/W2932960505","https://openalex.org/W2963188159","https://openalex.org/W2963288137","https://openalex.org/W2964249569","https://openalex.org/W2968834426","https://openalex.org/W3003257820","https://openalex.org/W3004991469","https://openalex.org/W3009153702","https://openalex.org/W3009516594","https://openalex.org/W3046735138","https://openalex.org/W3085853000","https://openalex.org/W3094586482","https://openalex.org/W3102989311","https://openalex.org/W3130106235","https://openalex.org/W3176938482","https://openalex.org/W3193307836","https://openalex.org/W3204345677","https://openalex.org/W4205950794","https://openalex.org/W4285102526","https://openalex.org/W4285506369","https://openalex.org/W4294554810","https://openalex.org/W4383108614","https://openalex.org/W4383108783","https://openalex.org/W4383108891","https://openalex.org/W4385805054","https://openalex.org/W6713563955","https://openalex.org/W6768023648","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W4308623176","https://openalex.org/W2019696434","https://openalex.org/W2358078963","https://openalex.org/W2023249001"],"abstract_inverted_index":{"For":[0],"safety":[1],"critical":[2],"applications":[3],"the":[4,116],"ability":[5],"of":[6,82,118,195],"localization":[7,48,70,83,93,129,167,193],"systems":[8],"to":[9,40,89,161],"self-assess":[10],"their":[11],"own":[12],"performance":[13,49,94],"and":[14,97,111,150,202],"know":[15],"when":[16],"they":[17],"are":[18,80],"failing":[19],"is":[20,95,100],"as":[21,23,128,136],"important":[22],"absolute":[24],"accuracy.":[25,84],"Previous":[26],"methods":[27],"have":[28],"self-assessed":[29],"current":[30],"system":[31,71],"performance,":[32],"identifying":[33],"failure":[34,44,99,194],"after":[35],"it":[36],"occurs.":[37],"We":[38,85,102,131,169],"propose":[39,62],"instead":[41],"pre-emptively":[42],"avoid":[43],"by":[45,55,72],"predicting":[46],"likely":[47],"at":[50],"locations":[51],"not":[52],"yet":[53],"explored":[54],"a":[56,67,138,151,163,178,182],"robot.":[57],"To":[58],"achieve":[59],"this,":[60],"we":[61],"an":[63,119],"approach":[64,105,134],"for":[65,144,157,197,204],"supervising":[66],"target":[68],"object":[69],"modelling":[73],"trends":[74],"in":[75,115,146,185],"internal":[76],"pipeline":[77],"artifacts":[78],"that":[79,171],"predictive":[81],"use":[86,145],"this":[87],"model":[88],"predict":[90],"where":[91,98],"acceptable":[92],"possible":[96],"likely.":[101],"evaluate":[103],"our":[104,133,172,198,205],"with":[106],"both":[107,137],"off-line":[108],"recorded":[109],"datasets":[110],"live":[112],"robot":[113,164],"experiments":[114],"context":[117],"upper":[120],"limb":[121],"surgical":[122],"task":[123,159],"using":[124],"human":[125],"bone":[126],"phantoms":[127],"targets.":[130],"demonstrate":[132],"implemented":[135],"<italic":[139,152],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[140,153],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Long":[141],"Range":[142],"Predictor</i>":[143,155],"informing":[147],"future":[148],"planning,":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Next-Step":[154],",":[156],"ongoing":[158],"supervision":[160],"stop":[162],"before":[165],"reaching":[166],"failure.":[168],"show":[170],"method":[173],"provides":[174],"significant":[175],"improvement":[176],"over":[177],"naive":[179],"baseline":[180],"achieving":[181],"mean":[183],"increase":[184],"safe":[186],"path":[187],"length,":[188],"or":[189],"usable":[190],"workspace,":[191],"without":[192],"84.1%":[196],"long":[199],"range":[200],"predictor":[201],"102.1%":[203],"next-step":[206],"predictor.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}