{"id":"https://openalex.org/W4322576861","doi":"https://doi.org/10.1109/tii.2023.3249751","title":"Learn to Rotate: Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning","display_name":"Learn to Rotate: Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning","publication_year":2023,"publication_date":"2023-02-27","ids":{"openalex":"https://openalex.org/W4322576861","doi":"https://doi.org/10.1109/tii.2023.3249751"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3249751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3249751","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.hud.ac.uk/ws/files/59427070/FINAL_VERSION.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052762094","display_name":"Peizhi Shi","orcid":"https://orcid.org/0000-0001-6724-282X"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Peizhi Shi","raw_affiliation_strings":["EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6724-282X","affiliations":[{"raw_affiliation_string":"EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K","institution_ids":["https://openalex.org/I1299528221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000457976","display_name":"Qunfen Qi","orcid":"https://orcid.org/0000-0001-5936-1714"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qunfen Qi","raw_affiliation_strings":["EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5936-1714","affiliations":[{"raw_affiliation_string":"EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K","institution_ids":["https://openalex.org/I1299528221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064890446","display_name":"Yuchu Qin","orcid":"https://orcid.org/0000-0002-5723-5519"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuchu Qin","raw_affiliation_strings":["EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5723-5519","affiliations":[{"raw_affiliation_string":"EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K","institution_ids":["https://openalex.org/I1299528221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030336313","display_name":"Fanlin Meng","orcid":"https://orcid.org/0000-0002-4866-0011"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I4210108888","display_name":"University Alliance","ror":"https://ror.org/020pnfy52","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210108888"]},{"id":"https://openalex.org/I87253917","display_name":"Manchester University","ror":"https://ror.org/02aswte26","country_code":"US","type":"education","lineage":["https://openalex.org/I87253917"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Fanlin Meng","raw_affiliation_strings":["Alliance Manchester Business School, University of Manchester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4866-0011","affiliations":[{"raw_affiliation_string":"Alliance Manchester Business School, University of Manchester, U.K","institution_ids":["https://openalex.org/I28407311","https://openalex.org/I87253917","https://openalex.org/I4210108888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065294218","display_name":"Shan Lou","orcid":"https://orcid.org/0000-0002-8426-5596"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shan Lou","raw_affiliation_strings":["EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8426-5596","affiliations":[{"raw_affiliation_string":"EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K","institution_ids":["https://openalex.org/I1299528221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019207615","display_name":"Paul J. Scott","orcid":"https://orcid.org/0000-0002-6092-3101"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul J. Scott","raw_affiliation_strings":["EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6092-3101","affiliations":[{"raw_affiliation_string":"EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K","institution_ids":["https://openalex.org/I1299528221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052852912","display_name":"Xiangqian Jiang","orcid":"https://orcid.org/0000-0001-7949-8507"},"institutions":[{"id":"https://openalex.org/I1299528221","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842","country_code":"GB","type":"government","lineage":["https://openalex.org/I1299528221","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiangqian Jiang","raw_affiliation_strings":["EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7949-8507","affiliations":[{"raw_affiliation_string":"EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K","institution_ids":["https://openalex.org/I1299528221"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5052762094"],"corresponding_institution_ids":["https://openalex.org/I1299528221"],"apc_list":null,"apc_paid":null,"fwci":1.1683,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76776419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"12","first_page":"11687","last_page":"11700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10653","display_name":"Robot Manipulation and Learning","score":0.995199978351593,"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/T12190","display_name":"Innovations in Concrete and Construction Materials","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8443691730499268},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.7002323865890503},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6840296983718872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417042016983032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.569782018661499},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5567662715911865},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5432599186897278},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47302818298339844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4633622169494629},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.458853542804718},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4363196790218353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18934375047683716},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1461057960987091}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8443691730499268},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.7002323865890503},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6840296983718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417042016983032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.569782018661499},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5567662715911865},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5432599186897278},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47302818298339844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4633622169494629},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.458853542804718},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4363196790218353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18934375047683716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1461057960987091},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tii.2023.3249751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3249751","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/3b7a5d09-444e-4432-92c6-f0c7b786fd9e","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/3b7a5d09-444e-4432-92c6-f0c7b786fd9e","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,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Shi, P, Qi, Q, Qin, Y, Meng, F, Lou, S, Scott, P J & Jiang, X 2023, 'Learn to rotate : Part orientation for reducing support volume via generalizable reinforcement learning', IEEE Transactions on Industrial Informatics, vol. 19, no. 12, pp. 11687-11700. https://doi.org/10.1109/TII.2023.3249751","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:openaire/bfee54d9-4cf8-49f9-9313-0f101d299869","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/bfee54d9-4cf8-49f9-9313-0f101d299869","pdf_url":"https://pure.hud.ac.uk/ws/files/59427070/FINAL_VERSION.pdf","source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"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":"Shi, P, Qi, Q, Qin, Y, Meng, F, Lou, S, Scott, P & Jiang, J 2023, 'Learn to Rotate : Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning', IEEE Transactions on Industrial Informatics, vol. 19, no. 12, 10054468, pp. 11687-11700. https://doi.org/10.1109/TII.2023.3249751","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/218b6f4b-bbe2-4611-93ff-92044a5654d7","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/218b6f4b-bbe2-4611-93ff-92044a5654d7","pdf_url":"https://pure.manchester.ac.uk/ws/files/253223626/FINAL_VERSION.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"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":"Shi, P, Qi, Q, Qin, Y, Meng, F, Lou, S, Scotting, P J & Jiang, X 2023, 'Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning', IEEE Transactions on Industrial Informatics, vol. 19, no. 12, pp. 11687 - 11700. https://doi.org/10.1109/tii.2023.3249751","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/bfee54d9-4cf8-49f9-9313-0f101d299869","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/bfee54d9-4cf8-49f9-9313-0f101d299869","pdf_url":"https://pure.hud.ac.uk/ws/files/59427070/FINAL_VERSION.pdf","source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"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":"Shi, P, Qi, Q, Qin, Y, Meng, F, Lou, S, Scott, P & Jiang, J 2023, 'Learn to Rotate : Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning', IEEE Transactions on Industrial Informatics, vol. 19, no. 12, 10054468, pp. 11687-11700. https://doi.org/10.1109/TII.2023.3249751","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2409345607","display_name":null,"funder_award_id":"EP/R024162/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4286143418","display_name":"Measurement and characterisation of additively manufactured surface texture","funder_award_id":"EP/S000453/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6137072339","display_name":"Future Advanced Metrology Hub","funder_award_id":"EP/P006930/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G753224229","display_name":"A semantic infrastructure for advanced manufacturing","funder_award_id":"EP/S001328/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8901220836","display_name":"Manufacturing Fellowship Extension in: Controlling geometrical variability of products in the digital and smart manufacturing era","funder_award_id":"EP/R024162/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G972211345","display_name":null,"funder_award_id":"EP/S000453/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322576861.pdf","grobid_xml":"https://content.openalex.org/works/W4322576861.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W639881615","https://openalex.org/W2059546105","https://openalex.org/W2098755193","https://openalex.org/W2168082768","https://openalex.org/W2324508853","https://openalex.org/W2396935036","https://openalex.org/W2546974927","https://openalex.org/W2575705757","https://openalex.org/W2609356747","https://openalex.org/W2615166250","https://openalex.org/W2736601468","https://openalex.org/W2737031543","https://openalex.org/W2811020057","https://openalex.org/W2890746956","https://openalex.org/W2903832848","https://openalex.org/W2930863966","https://openalex.org/W2944024271","https://openalex.org/W2950069298","https://openalex.org/W2966213627","https://openalex.org/W2978886585","https://openalex.org/W2981030070","https://openalex.org/W2990747716","https://openalex.org/W3000983008","https://openalex.org/W3017237679","https://openalex.org/W3026363783","https://openalex.org/W3032788802","https://openalex.org/W3108462833","https://openalex.org/W3160052456","https://openalex.org/W3199887198","https://openalex.org/W3203076355","https://openalex.org/W3209493138","https://openalex.org/W3217122878","https://openalex.org/W4226072403","https://openalex.org/W4315487473","https://openalex.org/W4389976716","https://openalex.org/W6675999342","https://openalex.org/W6683526187","https://openalex.org/W6712518083","https://openalex.org/W6741002519","https://openalex.org/W6754248707","https://openalex.org/W6771750343","https://openalex.org/W6787959036","https://openalex.org/W6789380839","https://openalex.org/W6802977921","https://openalex.org/W6811267125"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W4246278799","https://openalex.org/W2909957174","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"In":[0],"design":[1],"for":[2,77],"additive":[3],"manufacturing,":[4],"an":[5,68,88,131],"essential":[6],"task":[7],"is":[8,26,90,121,128,197],"to":[9,19,34,85,110,129,144,159,167,199,203,214,225,234],"determine":[10],"the":[11,29,36,49,73,98,111,126,161,169,183,201,205,211,217,229,237],"optimal":[12,37,74],"build":[13,130],"orientation":[14,32,38,105,118,176],"of":[15,134,174,192],"a":[16,40,78,122,153,164],"part":[17,31,104,117,175],"according":[18],"one":[20],"or":[21],"multiple":[22],"factors.":[23],"Heuristic":[24],"search":[25,75,231],"used":[27],"by":[28],"most":[30],"methods":[33,106],"select":[35],"from":[39],"large":[41],"solution":[42,220],"space.":[43],"Search":[44],"algorithms":[45],"occasionally":[46],"converge":[47],"towards":[48],"local":[50,206],"optimum":[51],"and":[52,58,163,172,194,233],"waste":[53],"considerable":[54],"time":[55],"on":[56,186,222],"trial":[57],"error.":[59],"This":[60,120],"issue":[61],"could":[62],"be":[63,108],"addressed":[64],"if":[65],"there":[66],"was":[67,242],"intelligent":[69],"agent":[70,89,132],"that":[71,182],"knew":[72],"path":[76],"given":[79],"3D":[80,137],"model.":[81],"A":[82],"straightforward":[83],"method":[84,185],"construct":[86],"such":[87],"reinforcement":[91,155],"learning":[92,113,156],"(RL).":[93],"By":[94],"adopting":[95],"this":[96,150],"idea,":[97],"time-consuming":[99],"online":[100],"searches":[101],"in":[102,146,190,210,239],"existing":[103,212],"will":[107],"moved":[109],"offline":[112],"stage,":[114],"potentially":[115],"improving":[116],"performance.":[119],"challenging":[123],"problem":[124],"because":[125],"goal":[127],"capable":[133],"rotating":[135],"arbitrary":[136],"models,":[138],"whereas":[139],"RL":[140],"agents":[141],"frequently":[142],"struggle":[143],"generalize":[145,235],"new":[147],"scenarios.":[148],"Therefore,":[149],"paper":[151],"suggests":[152],"generalizable":[154],"(GRL)":[157],"framework":[158],"train":[160],"agent,":[162],"GRL":[165],"benchmark":[166],"support":[168],"training,":[170],"testing,":[171],"comparison":[173],"approaches.":[177],"Experimental":[178],"results":[179],"de-":[180],"monstrate":[181],"proposed":[184],"average":[187,223],"outperforms":[188],"others":[189],"terms":[191],"effectiveness":[193],"efficiency.":[195],"It":[196],"proved":[198],"have":[200],"potential":[202],"solve":[204],"minima":[207],"problems":[208],"raised":[209],"approaches,":[213],"swiftly":[215],"discover":[216],"global":[218],"(sub-)optimal":[219],"(i.e.,":[221],"2.62\u00d7":[224],"229.00\u00d7":[226],"faster":[227],"than":[228],"random":[230],"algorithm),":[232],"beyond":[236],"environment":[238],"which":[240],"it":[241],"trained.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2025-10-10T00:00:00"}