{"id":"https://openalex.org/W4411040846","doi":"https://doi.org/10.1080/01691864.2025.2506513","title":"Generating drawing/grinding trajectories based on hierarchical CVAE","display_name":"Generating drawing/grinding trajectories based on hierarchical CVAE","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4411040846","doi":"https://doi.org/10.1080/01691864.2025.2506513"},"language":"en","primary_location":{"id":"doi:10.1080/01691864.2025.2506513","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2025.2506513","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2025.2506513?needAccess=true","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2025.2506513?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061384413","display_name":"Masahiro Aita","orcid":null},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Aita","raw_affiliation_strings":["Saitama University","Graduate School of Science and Technology, Saitama University, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saitama University","institution_ids":["https://openalex.org/I72253084"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055431913","display_name":"Yuya Nogi","orcid":"https://orcid.org/0000-0003-2201-5660"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuya Nogi","raw_affiliation_strings":["Saitama University","Graduate School of Science and Technology, Saitama University, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saitama University","institution_ids":["https://openalex.org/I72253084"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027541581","display_name":"Keito Sugawara","orcid":"https://orcid.org/0000-0002-1173-2237"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keito Sugawara","raw_affiliation_strings":["Saitama University","Graduate School of Science and Technology, Saitama University, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saitama University","institution_ids":["https://openalex.org/I72253084"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065050034","display_name":"Sho Sakaino","orcid":"https://orcid.org/0000-0002-5182-5649"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sho Sakaino","raw_affiliation_strings":["University of Tsukuba","Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, IbarakiJapan"],"raw_orcid":"https://orcid.org/0000-0002-5182-5649","affiliations":[{"raw_affiliation_string":"University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, IbarakiJapan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017159721","display_name":"Toshiaki Tsuji","orcid":"https://orcid.org/0000-0002-4532-4514"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshiaki Tsuji","raw_affiliation_strings":["Saitama University","Graduate School of Science and Technology, Saitama University, Saitama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4532-4514","affiliations":[{"raw_affiliation_string":"Saitama University","institution_ids":["https://openalex.org/I72253084"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017159721"],"corresponding_institution_ids":["https://openalex.org/I72253084"],"apc_list":null,"apc_paid":null,"fwci":1.757,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84675017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"39","issue":"10","first_page":"578","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9980000257492065,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9398000240325928,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/computer-science","display_name":"Computer science","score":0.5126751661300659},{"id":"https://openalex.org/keywords/grinding","display_name":"Grinding","score":0.5019001960754395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46142393350601196},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30040979385375977},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.15248796343803406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5126751661300659},{"id":"https://openalex.org/C2777571299","wikidata":"https://www.wikidata.org/wiki/Q3680646","display_name":"Grinding","level":2,"score":0.5019001960754395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46142393350601196},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30040979385375977},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.15248796343803406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01691864.2025.2506513","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2025.2506513","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2025.2506513?needAccess=true","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/01691864.2025.2506513","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2025.2506513","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2025.2506513?needAccess=true","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321034","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411040846.pdf","grobid_xml":"https://content.openalex.org/works/W4411040846.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1837533429","https://openalex.org/W1971890413","https://openalex.org/W1986014385","https://openalex.org/W1996980701","https://openalex.org/W2096323098","https://openalex.org/W2130726249","https://openalex.org/W2167647761","https://openalex.org/W2726011967","https://openalex.org/W2797471289","https://openalex.org/W2963047498","https://openalex.org/W2964055695","https://openalex.org/W2978002118","https://openalex.org/W3008638899","https://openalex.org/W3015625764","https://openalex.org/W3090359064","https://openalex.org/W3091340437","https://openalex.org/W3104601631","https://openalex.org/W3117530417","https://openalex.org/W3205745479","https://openalex.org/W4214501175","https://openalex.org/W4367280801","https://openalex.org/W4393906060"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2558687676","https://openalex.org/W2055172913","https://openalex.org/W4310396753","https://openalex.org/W2388159328","https://openalex.org/W2794371967","https://openalex.org/W2891601994","https://openalex.org/W3037101354"],"abstract_inverted_index":{"In":[0,79],"this":[1],"study,":[2],"we":[3,81],"propose":[4],"a":[5,31,60],"method":[6],"to":[7,37,87],"model":[8],"the":[9,15,54,72,76,97,101,106],"local":[10,45],"and":[11,46,68],"global":[12,47],"features":[13],"of":[14,56,63,75,103],"drawing/grinding":[16],"trajectory":[17],"with":[18,40,59],"hierarchical":[19,32,50],"Variational":[20],"Autoencoders":[21],"(VAEs).":[22],"By":[23],"combining":[24],"two":[25,107],"separately":[26],"trained":[27],"VAE":[28],"models":[29],"in":[30,96,105],"structure,":[33],"it":[34,84],"is":[35,85],"possible":[36,86],"generate":[38,88],"trajectories":[39,58],"high":[41],"reproducibility":[42],"for":[43],"both":[44],"features.":[48],"The":[49,66],"generation":[51,55],"network":[52],"enables":[53],"high-dimensional":[57],"small":[61],"amount":[62],"training":[64],"data.":[65],"simulation":[67],"experimental":[69],"results":[70],"demonstrate":[71],"generalization":[73],"performance":[74],"proposed":[77],"method.":[78],"addition,":[80],"confirmed":[82],"that":[83],"new":[89],"trajectories,":[90],"which":[91],"have":[92],"never":[93],"been":[94],"learned":[95],"past,":[98],"by":[99],"changing":[100],"combination":[102],"labels":[104],"layers.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}