{"id":"https://openalex.org/W4312372540","doi":"https://doi.org/10.1109/tase.2022.3220728","title":"One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring","display_name":"One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4312372540","doi":"https://doi.org/10.1109/tase.2022.3220728"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2022.3220728","doi":"https://doi.org/10.1109/tase.2022.3220728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2022.3220728","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-c","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"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 Transactions on Automation Science and Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.11251","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100386760","display_name":"Dandan Zhang","orcid":"https://orcid.org/0000-0001-7649-7605","observed_orcids":["https://orcid.org/0000-0001-7649-7605"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dandan Zhang","raw_affiliation_strings":["Department of Engineering Mathematics, University of Bristol, Bristol, U.K","Bristol Robotics Laboratory, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7649-7605","affiliations":[{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Bristol Robotics Laboratory, Bristol, U.K","institution_ids":["https://openalex.org/I4210161128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766818","display_name":"Wen Fan","orcid":"https://orcid.org/0009-0009-4239-1242","observed_orcids":["https://orcid.org/0009-0009-4239-1242"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wen Fan","raw_affiliation_strings":["Department of Engineering Mathematics, University of Bristol, Bristol, U.K","Bristol Robotics Laboratory, Bristol, U.K"],"raw_orcid":"https://orcid.org/0009-0009-4239-1242","affiliations":[{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Bristol Robotics Laboratory, Bristol, U.K","institution_ids":["https://openalex.org/I4210161128"]}]},{"author_position":"middle","author":{"id":null,"display_name":"John Lloyd","orcid":"https://orcid.org/0000-0002-5630-683X","observed_orcids":["https://orcid.org/0000-0002-5630-683X"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Lloyd","raw_affiliation_strings":["Department of Engineering Mathematics, University of Bristol, Bristol, U.K","Bristol Robotics Laboratory, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5630-683X","affiliations":[{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Bristol Robotics Laboratory, Bristol, U.K","institution_ids":["https://openalex.org/I4210161128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019906827","display_name":"Chenguang Yang","orcid":"https://orcid.org/0000-0001-5255-5559","observed_orcids":["https://orcid.org/0000-0001-5255-5559","https://orcid.org/0000-0001-6197-4595"]},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chenguang Yang","raw_affiliation_strings":["Bristol Robotics Laboratory, Bristol, U.K","Department of Engineering Design and Mathematics, University of the West of England, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5255-5559","affiliations":[{"raw_affiliation_string":"Bristol Robotics Laboratory, Bristol, U.K","institution_ids":["https://openalex.org/I4210161128"]},{"raw_affiliation_string":"Department of Engineering Design and Mathematics, University of the West of England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015897265","display_name":"Nathan F. Lepora","orcid":"https://orcid.org/0000-0001-5327-1523","observed_orcids":["https://orcid.org/0000-0001-5327-1523"]},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nathan F. Lepora","raw_affiliation_strings":["Department of Engineering Mathematics, University of Bristol, Bristol, U.K","Bristol Robotics Laboratory, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5327-1523","affiliations":[{"raw_affiliation_string":"Department of Engineering Mathematics, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Bristol Robotics Laboratory, Bristol, U.K","institution_ids":["https://openalex.org/I4210161128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.715,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.83256009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"541","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.5336999893188477,"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":0.5336999893188477,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.29420000314712524,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.1679999977350235,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/one-shot-learning","display_name":"one-shot learning","score":0.906000018119812},{"id":"https://openalex.org/keywords/progressive-learning","display_name":"progressive learning","score":0.9929999709129333},{"id":"https://openalex.org/keywords/visual-imitation-learning","display_name":"visual imitation learning","score":0.8690000176429749},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.5889999866485596},{"id":"https://openalex.org/keywords/robotic-manipulation","display_name":"robotic manipulation","score":0.5669999718666077},{"id":"https://openalex.org/keywords/visual-motor-skills","display_name":"visuomotor skills","score":0.7940000295639038},{"id":"https://openalex.org/keywords/service-robots","display_name":"service robots","score":0.6299999952316284},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.34299999475479126},{"id":"https://openalex.org/keywords/conceptual-representation","display_name":"conceptual representation","score":0.43700000643730164},{"id":"https://openalex.org/keywords/action-generation","display_name":"action generation","score":0.8539999723434448}],"concepts":[{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5930648446083069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879361629486084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749639868736267},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5672767758369446},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5432939529418945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43464523553848267},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.422122597694397},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.41698282957077026},{"id":"https://openalex.org/C2775960376","wikidata":"https://www.wikidata.org/wiki/Q1435859","display_name":"Grippers","level":2,"score":0.4137158691883087},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.41345611214637756},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36857837438583374},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.357665479183197},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3544180393218994},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.26274967193603516},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.18106558918952942},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.163448303937912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16229820251464844},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0925191342830658},{"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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tase.2022.3220728","doi":"https://doi.org/10.1109/tase.2022.3220728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2022.3220728","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-c","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"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 Transactions on Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2204.11251","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.11251","pdf_url":"https://arxiv.org/pdf/2204.11251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:uwe-repository.worktribe.com:10226788","doi":null,"is_oa":true,"landing_page_url":"https://uwe-repository.worktribe.com/output/10226788","pdf_url":"https://uwe-repository.worktribe.com/preview/10226809/accepted%20version.pdf","source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/a5c4dbd1-2d7e-4dca-b458-d2f7c031fe35","doi":null,"is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/a5c4dbd1-2d7e-4dca-b458-d2f7c031fe35","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, D, Fan, W, Lloyd, J, Yang, C & Lepora, N F 2024, 'One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring', IEEE Transactions on Automation Science and Engineering, vol. 21, no. 1, pp. 541 - 554. https://doi.org/10.1109/TASE.2022.3220728","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2204.11251","doi":"https://doi.org/10.48550/arxiv.2204.11251","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2204.11251","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.11251","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.11251","pdf_url":"https://arxiv.org/pdf/2204.11251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312372540.pdf","grobid_xml":"https://content.openalex.org/works/W4312372540.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1986014385","https://openalex.org/W2012684621","https://openalex.org/W2064675550","https://openalex.org/W2066379939","https://openalex.org/W2123128796","https://openalex.org/W2194775991","https://openalex.org/W2298457129","https://openalex.org/W2432717477","https://openalex.org/W2478454054","https://openalex.org/W2531280530","https://openalex.org/W2552465644","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2595416481","https://openalex.org/W2598581049","https://openalex.org/W2604763608","https://openalex.org/W2626778328","https://openalex.org/W2755546070","https://openalex.org/W2758237641","https://openalex.org/W2773286355","https://openalex.org/W2790916667","https://openalex.org/W2895599712","https://openalex.org/W2896868419","https://openalex.org/W2908802515","https://openalex.org/W2915251461","https://openalex.org/W2918619665","https://openalex.org/W2962793481","https://openalex.org/W2962860923","https://openalex.org/W2963094133","https://openalex.org/W2963444790","https://openalex.org/W2963669336","https://openalex.org/W2976205474","https://openalex.org/W2996086858","https://openalex.org/W3003592386","https://openalex.org/W3012303644","https://openalex.org/W3034942609","https://openalex.org/W3091905774","https://openalex.org/W3101780148","https://openalex.org/W3129417521","https://openalex.org/W3162734126","https://openalex.org/W3177021459","https://openalex.org/W3206232542","https://openalex.org/W3214952050","https://openalex.org/W4207069129","https://openalex.org/W4210370593","https://openalex.org/W4224938351","https://openalex.org/W4287118130","https://openalex.org/W4307234290"],"related_works":["https://openalex.org/W4224929312","https://openalex.org/W3162734126","https://openalex.org/W4312297897","https://openalex.org/W4399373864","https://openalex.org/W7204675980","https://openalex.org/W7220866142","https://openalex.org/W7133192311","https://openalex.org/W2755546070","https://openalex.org/W2942459156","https://openalex.org/W6931566050"],"abstract_inverted_index":{"Traditional":[0],"deep":[1,123,166],"learning-based":[2],"visual":[3],"imitation":[4,80,107,124,167],"learning":[5,41,50,58,67,81,108,168,204,302],"techniques":[6],"require":[7],"a":[8,34,38,48,56,77,202,294],"large":[9],"amount":[10],"of":[11,44,196,245,273],"demonstration":[12,181],"data":[13,182,317],"for":[14,52,60,69,115,122,169,210,255,325],"model":[15],"training,":[16],"and":[17,63,118,143,172,179,213,221,263,289,319],"the":[18,99,128,147,152,174,224,234,243,286,291,310],"pre-trained":[19],"models":[20],"are":[21,177],"difficult":[22],"to":[23,25,76,91,130,158,193,200,216,227,241,258,277,280,307],"adapt":[24],"new":[26,131],"scenarios.":[27],"To":[28],"address":[29],"these":[30],"limitations,":[31],"we":[32],"propose":[33],"unified":[35],"framework":[36],"using":[37,298],"novel":[39,139],"progressive":[40,203,301],"approach":[42,74],"comprised":[43],"three":[45],"phases:":[46],"i)":[47],"coarse":[49],"phase":[51,59,68],"concept":[53],"representation,":[54],"ii)":[55],"fine":[57],"action":[61],"generation,":[62],"iii)":[64],"an":[65,88,111,239,252],"imaginary":[66],"domain":[70],"adaptation.":[71],"Overall,":[72],"this":[73,197,274],"leads":[75],"one-shot":[78],"domain-adaptive":[79],"framework.":[82],"We":[83,149,232,304],"use":[84,233],"robotic":[85,170,235],"pouring":[86,236,250,287],"as":[87,135,238,285],"example":[89,240],"task":[90,116,237],"evaluate":[92],"its":[93],"effectiveness.":[94],"Our":[95],"results":[96],"show":[97,308],"that":[98,151,164,309],"method":[100,154,312],"has":[101,313],"several":[102],"advantages":[103],"over":[104],"contemporary":[105],"end-to-end":[106],"approaches,":[109],"including":[110],"improved":[112],"success":[113,296],"rate":[114,297],"execution":[117],"more":[119],"efficient":[120],"training":[121],"learning.":[125],"In":[126],"addition,":[127],"generalizability":[129],"domains":[132],"is":[133,155,183,199,251,276,323],"improved,":[134],"demonstrated":[136],"here":[137],"with":[138,230,293],"backgrounds,":[140],"target":[141,175],"containers,":[142],"granule":[144],"combinations":[145],"in":[146,268,329],"experiment.":[148],"believe":[150],"proposed":[153,247,300,311],"broadly":[156],"applicable":[157],"various":[159,330],"industrial":[160,214],"or":[161],"domestic":[162],"applications":[163],"involve":[165],"manipulation,":[171],"where":[173],"scenarios":[176,229],"diverse":[178],"human":[180,219],"limited.":[184],"For":[185],"project":[186],"video,":[187],"please":[188],"check":[189],"our":[190,246,299],"website:https://sites.google.com/view/imitation-learning-tase2022.":[191],"Note":[192],"Practitioners\u2014The":[194],"motivation":[195],"paper":[198],"develop":[201],"framework,":[205],"which":[206],"can":[207,264],"be":[208],"used":[209],"both":[211],"service":[212,256],"robots":[215,257,279,327],"learn":[217],"from":[218],"demonstrations,":[220],"then":[222],"transfer":[223],"learned":[225],"skill":[226,254],"different":[228],"ease.":[231],"demonstrate":[242],"effectiveness":[244],"method,":[248],"since":[249],"essential":[253],"assist":[259],"humans\u2019":[260],"daily":[261],"lives,":[262],"benefit":[265],"robot":[266],"automation":[267],"wet-lab":[269],"industries.":[270],"The":[271],"aim":[272],"research":[275],"enable":[278],"obtain":[281],"visuomotor":[282],"skills":[283],"(such":[284],"skill),":[288],"accomplish":[290],"tasks":[292],"high":[295,316],"method.":[303],"conducted":[305],"experiments":[306],"good":[314],"performance,":[315],"efficiency":[318],"evident":[320],"generalizability.":[321],"This":[322],"significant":[324],"intelligent":[326],"working":[328],"practical":[331],"applications.":[332]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-01-04T00:00:00"}
