{"id":"https://openalex.org/W4415159045","doi":"https://doi.org/10.23919/ecc65951.2025.11186935","title":"Intelligent Logistics in Semiconductor Manufacturing: AGV Path Planning Driven by 3D Spatiotemporal A* Algorithm","display_name":"Intelligent Logistics in Semiconductor Manufacturing: AGV Path Planning Driven by 3D Spatiotemporal A* Algorithm","publication_year":2025,"publication_date":"2025-06-24","ids":{"openalex":"https://openalex.org/W4415159045","doi":"https://doi.org/10.23919/ecc65951.2025.11186935"},"language":"en","primary_location":{"id":"doi:10.23919/ecc65951.2025.11186935","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc65951.2025.11186935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 European Control Conference (ECC)","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/A5111123346","display_name":"Xiaocan Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaocan Chai","raw_affiliation_strings":["Beijing Institute of Technology,School of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Automation,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024866488","display_name":"Runqi Chai","orcid":"https://orcid.org/0000-0003-4083-8863"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runqi Chai","raw_affiliation_strings":["Beijing Institute of Technology,School of Automation,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Automation,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070349528","display_name":"Senchun Chai","orcid":"https://orcid.org/0000-0003-1910-1795"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senchun Chai","raw_affiliation_strings":["Beijing Institute of Technology,School of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Automation,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaokai Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokai Qiu","raw_affiliation_strings":["Yandong Microelectronics Co., Ltd,Beijing,China,100176"],"affiliations":[{"raw_affiliation_string":"Yandong Microelectronics Co., Ltd,Beijing,China,100176","institution_ids":["https://openalex.org/I4210089056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111123346"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39927347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3317","last_page":"3318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9980999827384949,"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/T12176","display_name":"Optimization and Packing Problems","score":0.972100019454956,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.965499997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6949999928474426},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6783000230789185},{"id":"https://openalex.org/keywords/reachability","display_name":"Reachability","score":0.613099992275238},{"id":"https://openalex.org/keywords/semiconductor-device-fabrication","display_name":"Semiconductor device fabrication","score":0.5849999785423279},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5827999711036682},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/automated-guided-vehicle","display_name":"Automated guided vehicle","score":0.43799999356269836}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6949999928474426},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6783000230789185},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.613099992275238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852000117301941},{"id":"https://openalex.org/C66018809","wikidata":"https://www.wikidata.org/wiki/Q1570432","display_name":"Semiconductor device fabrication","level":3,"score":0.5849999785423279},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C2776068756","wikidata":"https://www.wikidata.org/wiki/Q1368584","display_name":"Automated guided vehicle","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C158485040","wikidata":"https://www.wikidata.org/wiki/Q4778119","display_name":"Any-angle path planning","level":4,"score":0.42660000920295715},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C2777869240","wikidata":"https://www.wikidata.org/wiki/Q1424398","display_name":"Flexible manufacturing system","level":3,"score":0.37779998779296875},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.373199999332428},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.301800012588501},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2937999963760376},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc65951.2025.11186935","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc65951.2025.11186935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2921410781","https://openalex.org/W3026401630","https://openalex.org/W3092124468","https://openalex.org/W3215464764","https://openalex.org/W4380989512","https://openalex.org/W4395448724"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,5,23,71,77,90,94,107,114,132,138,147,152],"semiconductor":[2,27,86,143],"manufacturing":[3,87,144,171],"industry,":[4],"path":[6,48,58,95,123,139,162],"planning":[7,59,140,163],"of":[8,85,109,151],"Automated":[9],"Guided":[10],"Vehicles":[11],"(AGVs)":[12],"is":[13],"directly":[14],"related":[15],"to":[16],"production":[17],"efficiency":[18,150],"and":[19,47,81,117,120,160],"logistics":[20,24,153,167],"costs.":[21],"However,":[22],"systems":[25,168],"inside":[26],"factories":[28],"typically":[29],"present":[30],"a":[31,63,100],"complex":[32,170],"multi-level":[33],"three-dimensional":[34,64,78,115],"environment,":[35],"constrained":[36],"by":[37,75],"factors":[38],"such":[39],"as":[40],"dense":[41],"equipment":[42],"distribution,":[43],"dynamic":[44,82],"task":[45],"generation,":[46],"conflicts.":[49],"To":[50],"address":[51],"this,":[52],"this":[53],"paper":[54],"proposes":[55],"an":[56,158],"AGV":[57],"method":[60,69],"based":[61],"on":[62],"spatiotemporal":[65,101],"A*":[66,73],"algorithm.":[67],"This":[68,155],"extends":[70],"traditional":[72],"algorithm":[74,134],"incorporating":[76],"spatial":[79],"characteristics":[80],"scheduling":[83],"requirements":[84],"environments,":[88,145],"introducing":[89],"time":[91,118],"dimension":[92],"into":[93],"search":[96],"process.":[97],"By":[98],"constructing":[99],"state":[102],"graph,":[103],"it":[104],"dynamically":[105],"evaluates":[106],"reachability":[108],"each":[110],"node":[111],"in":[112,142,169],"both":[113],"space":[116],"dimensions,":[119],"implements":[121],"efficient":[122,159],"optimization":[124],"with":[125],"conflict-avoidance":[126],"strategies.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"proposed":[133],"can":[135],"effectively":[136],"solve":[137],"problem":[141],"improving":[146],"overall":[148],"operational":[149],"system.":[154],"research":[156],"provides":[157],"practical":[161],"solution":[164],"for":[165],"intelligent":[166],"environments.":[172]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-14T00:00:00"}