{"id":"https://openalex.org/W4382935673","doi":"https://doi.org/10.23919/acc55779.2023.10156342","title":"An Optimization-Based Human Behavior Modeling and Prediction for Human-Robot Collaborative Disassembly","display_name":"An Optimization-Based Human Behavior Modeling and Prediction for Human-Robot Collaborative Disassembly","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4382935673","doi":"https://doi.org/10.23919/acc55779.2023.10156342"},"language":"en","primary_location":{"id":"doi:10.23919/acc55779.2023.10156342","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc55779.2023.10156342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103013059","display_name":"Sibo Tian","orcid":"https://orcid.org/0009-0000-5788-5848"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sibo Tian","raw_affiliation_strings":["University at Buffalo,Department of Mechanical and Aerospace Engineering,Buffalo,NY,USA,14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Department of Mechanical and Aerospace Engineering,Buffalo,NY,USA,14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025952499","display_name":"Xiao Liang","orcid":"https://orcid.org/0000-0003-4788-8759"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Liang","raw_affiliation_strings":["University at Buffalo,Structural and Environmental Engineering,Department of Civil,Buffalo,NY,USA,14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Structural and Environmental Engineering,Department of Civil,Buffalo,NY,USA,14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066836550","display_name":"Minghui Zheng","orcid":"https://orcid.org/0000-0002-1460-3246"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minghui Zheng","raw_affiliation_strings":["University at Buffalo,Department of Mechanical and Aerospace Engineering,Buffalo,NY,USA,14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Department of Mechanical and Aerospace Engineering,Buffalo,NY,USA,14260","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":8.1828,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.98661952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3356","last_page":"3361"},"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9957000017166138,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.7087693214416504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6252195835113525},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5530776977539062},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4993553161621094},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48846402764320374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47327089309692383},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4557889699935913},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4549647271633148},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4397532343864441},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.42356887459754944},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.4210216999053955},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41747602820396423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087693214416504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6252195835113525},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5530776977539062},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4993553161621094},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48846402764320374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47327089309692383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4557889699935913},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4549647271633148},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4397532343864441},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.42356887459754944},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.4210216999053955},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41747602820396423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc55779.2023.10156342","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc55779.2023.10156342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1496321300","https://openalex.org/W1527702126","https://openalex.org/W1735317348","https://openalex.org/W1801976851","https://openalex.org/W1924770834","https://openalex.org/W1994648061","https://openalex.org/W2007499012","https://openalex.org/W2019965290","https://openalex.org/W2064675550","https://openalex.org/W2082142320","https://openalex.org/W2098774185","https://openalex.org/W2099893201","https://openalex.org/W2101821104","https://openalex.org/W2209116470","https://openalex.org/W2290104316","https://openalex.org/W2418222507","https://openalex.org/W2606517404","https://openalex.org/W2964203186","https://openalex.org/W2991138762","https://openalex.org/W3037606473","https://openalex.org/W3112153464","https://openalex.org/W4205123165","https://openalex.org/W4211147391","https://openalex.org/W4285238495","https://openalex.org/W4285812978","https://openalex.org/W6638440308","https://openalex.org/W6640212811","https://openalex.org/W6674884181","https://openalex.org/W6688386007","https://openalex.org/W6696380822"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W2371138613","https://openalex.org/W4360995134","https://openalex.org/W2048963458","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2961415091"],"abstract_inverted_index":{"To":[0],"achieve":[1],"a":[2,54,73,131],"safe":[3],"and":[4,24,42,86,145],"seamless":[5],"human-robot":[6],"collaboration":[7],"in":[8],"intelligent":[9],"remanufacturing,":[10],"robot":[11],"agents":[12],"should":[13],"be":[14],"able":[15],"to":[16,58,109,150,159],"understand":[17],"human":[18,21,35,51,98,117,120,162],"behaviors,":[19],"predict":[20],"future":[22],"motion,":[23,85],"incorporate":[25],"motion":[26,66,121,163],"prediction":[27,36,122,164],"into":[28],"their":[29],"planning":[30],"process.":[31],"While":[32],"most":[33],"existing":[34],"algorithms":[37],"suffer":[38],"from":[39,115],"poor":[40],"generalization":[41],"huge":[43],"training":[44],"data":[45],"requirements,":[46],"this":[47,151],"paper":[48],"models":[49],"the":[50,65,84,88,111,147],"agent":[52],"as":[53,78],"rational":[55],"model":[56],"seeking":[57],"minimize":[59],"an":[60,127,138],"unknown":[61],"cost":[62,113,133],"function":[63,114],"along":[64],"trajectory.":[67],"With":[68],"such":[69,77],"modeling,":[70],"we":[71],"design":[72],"set":[74],"of":[75],"features,":[76],"collision":[79],"avoidance,":[80],"maintaining":[81],"comfort":[82],"during":[83,100],"reaching":[87],"goal":[89],"point":[90],"without":[91],"too":[92],"much":[93],"detour,":[94],"that":[95],"could":[96],"capture":[97],"intents":[99],"HRC.":[101],"Maximum-Entropy":[102],"inverse":[103],"reinforcement":[104],"learning":[105],"is":[106,123],"then":[107],"leveraged":[108],"learn":[110],"underlying":[112],"noisy":[116],"demonstrations.":[118],"The":[119],"obtained":[124],"by":[125],"solving":[126],"optimization":[128],"problem":[129],"with":[130],"learned":[132],"function.":[134],"We":[135],"particularly":[136],"build":[137],"HRC":[139],"dataset":[140],"for":[141],"human-robot-collaborative":[142],"disassembly":[143],"tasks":[144],"applied":[146],"proposed":[148],"algorithm":[149],"new":[152],"dataset.":[153],"Experimental":[154],"studies":[155],"are":[156],"extensively":[157],"conducted":[158],"validate":[160],"our":[161],"model.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
