{"id":"https://openalex.org/W4312583016","doi":"https://doi.org/10.1109/icdl53763.2022.9962185","title":"Feedback-Driven Incremental Imitation Learning Using Sequential VAE","display_name":"Feedback-Driven Incremental Imitation Learning Using Sequential VAE","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4312583016","doi":"https://doi.org/10.1109/icdl53763.2022.9962185"},"language":"en","primary_location":{"id":"doi:10.1109/icdl53763.2022.9962185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdl53763.2022.9962185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Development and Learning (ICDL)","raw_type":"proceedings-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/A5070799483","display_name":"Gabriela \u0160ejnov\u00e1","orcid":"https://orcid.org/0000-0002-0045-6425"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Gabriela Sejnova","raw_affiliation_strings":["Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University,Prague,Czech Republic","Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University,Prague,Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065125599","display_name":"Karla \u0160t\u011bp\u00e1nov\u00e1","orcid":"https://orcid.org/0000-0003-4239-2092"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Karla Stepanova","raw_affiliation_strings":["Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University,Prague,Czech Republic","Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University,Prague,Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070799483"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.302,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55500475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"238","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9930999875068665,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9930999875068665,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9858999848365784,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7838211059570312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7620253562927246},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.7047484517097473},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6534377336502075},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6180188655853271},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5907478332519531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5279516577720642},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5044053792953491},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.43354180455207825},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4272919297218323},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.16744348406791687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7838211059570312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7620253562927246},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.7047484517097473},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6534377336502075},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6180188655853271},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5907478332519531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5279516577720642},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5044053792953491},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.43354180455207825},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4272919297218323},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.16744348406791687},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdl53763.2022.9962185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdl53763.2022.9962185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Development and Learning (ICDL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2007339694","https://openalex.org/W2559085405","https://openalex.org/W2560647685","https://openalex.org/W2735089625","https://openalex.org/W2963559848","https://openalex.org/W2964030995","https://openalex.org/W2964157221","https://openalex.org/W2980999634","https://openalex.org/W2982593362","https://openalex.org/W3034650337","https://openalex.org/W3100197791","https://openalex.org/W3128707967","https://openalex.org/W3153832461","https://openalex.org/W3177032574","https://openalex.org/W3211362147","https://openalex.org/W4240805545","https://openalex.org/W4298857780","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6738602802","https://openalex.org/W6741115023","https://openalex.org/W6750697680","https://openalex.org/W6763411897","https://openalex.org/W6767099637","https://openalex.org/W6778051727","https://openalex.org/W6784591795","https://openalex.org/W6803552947"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2913184176"],"abstract_inverted_index":{"Variational":[0],"Autoencoders":[1],"(VAEs)":[2],"have":[3],"attracted":[4],"a":[5,40,70,128],"lot":[6],"of":[7,19,49,61,68,101,108,131],"attention":[8],"from":[9,38,74],"the":[10,33,46,50,58,66,102,117,124],"machine":[11],"learning":[12,22,37,109],"community":[13],"in":[14,21,76,81,105],"recent":[15],"years.":[16],"The":[17,99],"usage":[18],"VAEs":[20],"by":[23],"demonstration":[24,75],"and":[25,43,87,97,114],"robotics":[26],"is":[27,110],"still":[28],"very":[29],"restricted":[30],"due":[31,44],"to":[32,45],"need":[34],"for":[35,65,93],"effective":[36],"only":[39],"few":[41],"examples":[42],"difficult":[47],"evaluation":[48],"reconstruction":[51],"quality.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"utilize":[57],"current":[59],"models":[60],"conditional":[62],"variational":[63],"autoencoders":[64],"purpose":[67],"teaching":[69],"robot":[71,119,125],"simple":[72],"actions":[73,133],"an":[77],"incremental":[78],"fashion.":[79],"We":[80,121],"detail":[82],"evaluate":[83],"various":[84],"training":[85],"approaches":[86],"define":[88],"parameters":[89],"that":[90,123],"are":[91],"important":[92],"enabling":[94],"high-quality":[95],"samples":[96,104],"reconstructions.":[98],"quality":[100,130],"generated":[103,132],"different":[106],"stages":[107],"evaluated":[111],"both":[112],"quantitatively":[113],"qualitatively":[115],"on":[116],"humanoid":[118],"Pepper.":[120],"show":[122],"can":[126],"reach":[127],"reasonable":[129],"already":[134],"after":[135],"20":[136],"observed":[137],"samples.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
