{"id":"https://openalex.org/W4408222617","doi":"https://doi.org/10.1109/robio64047.2024.10907742","title":"Research on Steel Plate Linear Heating Robot Based on Deep Q Network of Gradient Strategy Method","display_name":"Research on Steel Plate Linear Heating Robot Based on Deep Q Network of Gradient Strategy Method","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4408222617","doi":"https://doi.org/10.1109/robio64047.2024.10907742"},"language":"en","primary_location":{"id":"doi:10.1109/robio64047.2024.10907742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio64047.2024.10907742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100604714","display_name":"Zhiliang Zhang","orcid":"https://orcid.org/0000-0002-4935-5457"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhiliang Zhang","raw_affiliation_strings":["Mie University,Department of Engineering,Tsu, Mie,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mie University,Department of Engineering,Tsu, Mie,Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ryojun Ikeura","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryojun Ikeura","raw_affiliation_strings":["Mie University,Department of Engineering,Tsu, Mie,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mie University,Department of Engineering,Tsu, Mie,Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108265626","display_name":"Zheng Wang","orcid":"https://orcid.org/0009-0000-9368-631X"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Mie University,Department of Engineering,Tsu, Mie,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mie University,Department of Engineering,Tsu, Mie,Japan","institution_ids":["https://openalex.org/I178574317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178574317"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.2361000031232834,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.2361000031232834,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.2345000058412552,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13003","display_name":"Regional Development and Environment","score":0.22669999301433563,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5101392865180969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4352501928806305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31611087918281555}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5101392865180969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4352501928806305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31611087918281555}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio64047.2024.10907742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio64047.2024.10907742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":20,"referenced_works":["https://openalex.org/W1991642423","https://openalex.org/W1992870901","https://openalex.org/W2039375008","https://openalex.org/W2091410512","https://openalex.org/W2609658622","https://openalex.org/W2788862220","https://openalex.org/W2981373095","https://openalex.org/W3131869127","https://openalex.org/W4293097371","https://openalex.org/W4317746123","https://openalex.org/W4318334733","https://openalex.org/W4385302631","https://openalex.org/W4390777342","https://openalex.org/W4391384669","https://openalex.org/W4394822178","https://openalex.org/W4401270063","https://openalex.org/W4401692612","https://openalex.org/W6622040571","https://openalex.org/W6684205842","https://openalex.org/W6722067930"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,123],"heating":[1,35,43,65,78,100,106,119,139],"and":[2,22,36,54,66,75,111,146,168],"forming":[3,37,52,67,163],"process":[4,29,68,164],"of":[5,15,24,30,38,69,80,116,141,158,165,171],"hull":[6,25,39],"steel":[7,40,70,117,144,149,166],"plates":[8,71,167],"not":[9,96],"only":[10,97],"affects":[11,19],"the":[12,20,28,42,50,63,87,99,105,113,133,137,142,148,156,159,169],"hydrodynamic":[13],"performance":[14],"ships,":[16],"but":[17,102],"also":[18,103],"cycle":[21],"cost":[23],"construction.":[26],"In":[27],"3D":[31,160],"curved":[32,161],"surface":[33,162],"linear":[34,64,77,114,138],"plates,":[41],"line":[44,107,140],"planning":[45,115],"difficulties,":[46],"as":[47,49],"well":[48],"low":[51],"efficiency":[53],"precision":[55],"are":[56],"solved.":[57],"ANSYS":[58],"is":[59,91],"used":[60],"to":[61,72,135],"simulate":[62],"obtain":[73],"data,":[74],"a":[76,81,152],"model":[79,94],"deep":[82],"Q":[83],"network(DQN)":[84],"based":[85],"on":[86],"gradient":[88],"strategy":[89],"method":[90,129],"established.":[92],"This":[93],"can":[95,130],"plan":[98,136],"line,":[101],"optimize":[104],"in":[108],"real":[109],"time,":[110],"realize":[112,132],"plate":[118,145],"for":[120,155],"auxiliary":[121],"workers.":[122],"results":[124],"show":[125],"that":[126],"this":[127],"research":[128],"effectively":[131],"robot":[134],"target":[143],"heat":[147],"plate,":[150],"providing":[151],"new":[153],"solution":[154],"optimization":[157],"realization":[170],"semi-automation.":[172]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
