{"id":"https://openalex.org/W2131719673","doi":"https://doi.org/10.1163/1568553041738112","title":"Exact non-linear Bayesian parameter estimation for autonomous compliant motion","display_name":"Exact non-linear Bayesian parameter estimation for autonomous compliant motion","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2131719673","doi":"https://doi.org/10.1163/1568553041738112","mag":"2131719673"},"language":"en","primary_location":{"id":"doi:10.1163/1568553041738112","is_oa":false,"landing_page_url":"https://doi.org/10.1163/1568553041738112","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","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/A5109223221","display_name":"Tine Lefebvre","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Lefebvre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009116988","display_name":"Herman Bruyninckx","orcid":"https://orcid.org/0000-0003-3776-1025"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Bruyninckx","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006282526","display_name":"Joris De Schutter","orcid":"https://orcid.org/0000-0001-9619-5815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. De Schutter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3944,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.95742484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":"8","first_page":"787","last_page":"799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9988999962806702,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9988999962806702,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/kalman-filter","display_name":"Kalman filter","score":0.7521317005157471},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6794695258140564},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6380196213722229},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5275440216064453},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5188518762588501},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.51813143491745},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5082549452781677},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.49974799156188965},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.4934193193912506},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48518234491348267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45848557353019714},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42352089285850525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4198855757713318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32790470123291016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2836829423904419},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14153611660003662},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09316021203994751}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7521317005157471},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6794695258140564},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6380196213722229},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5275440216064453},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5188518762588501},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.51813143491745},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5082549452781677},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.49974799156188965},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.4934193193912506},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48518234491348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45848557353019714},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42352089285850525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4198855757713318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32790470123291016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2836829423904419},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14153611660003662},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09316021203994751},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1163/1568553041738112","is_oa":false,"landing_page_url":"https://doi.org/10.1163/1568553041738112","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/157941","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/157941/1/03PP100.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Robotics, vol. 18 (8), (787-799)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W185885492","https://openalex.org/W1601378499","https://openalex.org/W1607198972","https://openalex.org/W1646998587","https://openalex.org/W1993229253","https://openalex.org/W2055601837","https://openalex.org/W2099371695","https://openalex.org/W2099867508","https://openalex.org/W2105527660","https://openalex.org/W2121990344","https://openalex.org/W2143745423","https://openalex.org/W2147981032","https://openalex.org/W2152351276","https://openalex.org/W2154491775","https://openalex.org/W2319903578","https://openalex.org/W2916805411","https://openalex.org/W3140968660","https://openalex.org/W4247537702"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W80107739","https://openalex.org/W2020144404","https://openalex.org/W4372347353","https://openalex.org/W2162299404","https://openalex.org/W2103062922","https://openalex.org/W2370409284","https://openalex.org/W2132584457"],"abstract_inverted_index":{"This":[0,20],"paper":[1],"presents":[2],"theoretical":[3],"and":[4,13,35,41,71,91,109],"experimental":[5],"results":[6,100],"for":[7,74,92,101],"the":[8,44,102,105],"estimation":[9,29,46,103],"of":[10,68,82,96,104,111],"large":[11,39],"position":[12,40],"orientation":[14,42],"inaccuracies":[15],"during":[16,114],"force-controlled":[17],"compliant":[18,116],"motion.":[19],"is":[21,30,48,61,65,72],"a":[22,57,93],"significant":[23],"improvement":[24],"over":[25],"previous":[26],"results.":[27],"The":[28,63],"based":[31],"on":[32],"position,":[33],"velocity":[34],"force":[36],"measurements.":[37],"For":[38],"inaccuracies,":[43],"non-linear":[45,83],"problem":[47],"not":[49],"satisfactorily":[50],"solved":[51],"by":[52],"existing":[53],"Kalman":[54],"filters.":[55],"Therefore,":[56],"new":[58],"Bayesian":[59],"estimator":[60],"derived.":[62],"filter":[64],"derived":[66],"independently":[67],"our":[69],"application":[70],"valid":[73],"static":[75],"systems":[76],"(parameter":[77],"estimation)":[78],"with":[79],"any":[80],"kind":[81],"measurement":[84,89],"equation":[85],"subject":[86],"to":[87],"Gaussian":[88],"uncertainty":[90],"limited":[94],"class":[95],"dynamic":[97],"systems.":[98],"Experimental":[99],"inaccurately":[106],"known":[107],"positions":[108],"orientations":[110],"contacting":[112],"objects":[113],"autonomous":[115],"motion":[117],"are":[118],"presented.":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
