{"id":"https://openalex.org/W2908515639","doi":"https://doi.org/10.1109/icarcv.2018.8581080","title":"Learning Under-Specified Object Manipulations from Human Demonstrations","display_name":"Learning Under-Specified Object Manipulations from Human Demonstrations","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908515639","doi":"https://doi.org/10.1109/icarcv.2018.8581080","mag":"2908515639"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2018.8581080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5005099484","display_name":"Kun Qian","orcid":"https://orcid.org/0000-0002-6765-9446"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Qian","raw_affiliation_strings":["School of Automation, Ministry of Education, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691529","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-9247-4531"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["School of Automation, Ministry of Education, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102875770","display_name":"Ge Gao","orcid":"https://orcid.org/0000-0002-3227-6015"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Gao","raw_affiliation_strings":["School of Automation, Ministry of Education, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386863","display_name":"Fang Fang","orcid":"https://orcid.org/0000-0002-5445-0766"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Fang","raw_affiliation_strings":["School of Automation, Ministry of Education, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101968413","display_name":"Xudong Ma","orcid":"https://orcid.org/0000-0001-9937-7059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xudong Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1521,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54537061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1936","last_page":"1941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9994000196456909,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.8463239669799805},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.7771162390708923},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7448397874832153},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6602564454078674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6417449712753296},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5709633827209473},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5457425117492676},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5354338884353638},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5127928853034973},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5106270909309387},{"id":"https://openalex.org/keywords/programming-by-demonstration","display_name":"Programming by demonstration","score":0.4801351726055145},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.46035927534103394},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.4289245009422302},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4201411306858063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33693206310272217},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.30691075325012207},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1859067976474762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8463239669799805},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.7771162390708923},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7448397874832153},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6602564454078674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6417449712753296},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5709633827209473},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5457425117492676},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5354338884353638},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5127928853034973},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5106270909309387},{"id":"https://openalex.org/C2779038628","wikidata":"https://www.wikidata.org/wiki/Q7248497","display_name":"Programming by demonstration","level":3,"score":0.4801351726055145},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.46035927534103394},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.4289245009422302},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4201411306858063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33693206310272217},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.30691075325012207},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1859067976474762},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2018.8581080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W152645600","https://openalex.org/W1837533429","https://openalex.org/W1903836554","https://openalex.org/W2017695267","https://openalex.org/W2031248101","https://openalex.org/W2031691294","https://openalex.org/W2119709400","https://openalex.org/W2144994235","https://openalex.org/W2146055337","https://openalex.org/W2149173366","https://openalex.org/W2153396823","https://openalex.org/W2169393274","https://openalex.org/W2570079669","https://openalex.org/W2766578458","https://openalex.org/W6731572993"],"related_works":["https://openalex.org/W2559881192","https://openalex.org/W2901891836","https://openalex.org/W4388624165","https://openalex.org/W2621386530","https://openalex.org/W2148892780","https://openalex.org/W3097029141","https://openalex.org/W2586362452","https://openalex.org/W2157119315","https://openalex.org/W2144547600","https://openalex.org/W4312312060"],"abstract_inverted_index":{"Learning":[0],"by":[1],"Demonstration":[2],"(LbD)":[3],"allows":[4],"robots":[5],"to":[6,21,47,56,76],"acquire":[7],"manipulation":[8],"skills":[9],"through":[10],"human":[11,31,61,82],"demonstration.":[12],"In":[13],"this":[14],"regard,":[15],"it":[16],"is":[17],"a":[18],"challenging":[19],"task":[20],"perceive":[22],"spatial-temporal":[23],"relations":[24],"between":[25],"sub-activities":[26],"and":[27,91],"object":[28],"affordance":[29],"in":[30,84,106],"demonstrations,":[32],"especially":[33],"when":[34],"they":[35],"are":[36,74,95],"under-specified.":[37],"This":[38],"work":[39],"extends":[40],"the":[41,58,92,100,103],"Probability":[42],"Graph":[43],"Model":[44],"based":[45],"methods":[46],"incorporate":[48],"high-level":[49],"demonstration":[50,62,83],"classification.":[51],"We":[52],"propose":[53],"an":[54],"approach":[55],"model":[57],"semantics":[59],"of":[60,102],"using":[63],"Programming":[64],"Domain":[65],"Description":[66],"Language":[67],"(PDDL).":[68],"Therefore,":[69],"hidden":[70],"motion":[71],"primitives":[72],"that":[73],"impossible":[75],"be":[77,89,112],"learned":[78],"directly":[79],"from":[80],"observing":[81],"noisy":[85],"video":[86],"data":[87],"can":[88,111],"inferred":[90],"robot's":[93,115],"plans":[94],"refined.":[96],"Experimental":[97],"results":[98],"validate":[99],"effectiveness":[101],"proposed":[104],"method,":[105],"which":[107],"more":[108],"refined":[109],"scripts":[110],"generated":[113],"for":[114],"execution.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
