{"id":"https://openalex.org/W4310971128","doi":"https://doi.org/10.1109/iecon49645.2022.9968701","title":"Collision Avoidance Pathfinding of Multiple AGVs Considering Motion Uncertainties","display_name":"Collision Avoidance Pathfinding of Multiple AGVs Considering Motion Uncertainties","publication_year":2022,"publication_date":"2022-10-17","ids":{"openalex":"https://openalex.org/W4310971128","doi":"https://doi.org/10.1109/iecon49645.2022.9968701"},"language":"en","primary_location":{"id":"doi:10.1109/iecon49645.2022.9968701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968701","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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/A5043356374","display_name":"Mingxiao Chen","orcid":"https://orcid.org/0009-0007-6358-767X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingxiao Chen","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422253","display_name":"Shuting Wang","orcid":"https://orcid.org/0000-0001-5620-9151"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuting Wang","raw_affiliation_strings":["Guangdong Intelligent Robotics Institute,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Guangdong Intelligent Robotics Institute,Dongguan,China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355230","display_name":"Yifei Li","orcid":"https://orcid.org/0000-0003-3608-1917"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Li","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444617","display_name":"Li Hu","orcid":"https://orcid.org/0009-0007-9849-0800"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Li","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014022622","display_name":"Yuanlong Xie","orcid":"https://orcid.org/0000-0003-1158-1587"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlong Xie","raw_affiliation_strings":["Guangdong Intelligent Robotics Institute,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Guangdong Intelligent Robotics Institute,Dongguan,China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103233494","display_name":"Tifan Xiong","orcid":"https://orcid.org/0000-0003-3197-7909"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tifan Xiong","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043356374"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29937259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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"}},{"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/pathfinding","display_name":"Pathfinding","score":0.9390093088150024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6906521916389465},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.6434760689735413},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5643972158432007},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5573364496231079},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5565725564956665},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5399749875068665},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5220310688018799},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4948834776878357},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4856328070163727},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4422443211078644},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36223745346069336},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34827470779418945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32498496770858765},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.1971084475517273},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18441438674926758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16418981552124023},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0886046290397644}],"concepts":[{"id":"https://openalex.org/C25321074","wikidata":"https://www.wikidata.org/wiki/Q1969601","display_name":"Pathfinding","level":4,"score":0.9390093088150024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906521916389465},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.6434760689735413},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5643972158432007},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5573364496231079},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5565725564956665},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5399749875068665},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5220310688018799},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4948834776878357},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4856328070163727},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4422443211078644},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36223745346069336},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34827470779418945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32498496770858765},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.1971084475517273},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18441438674926758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16418981552124023},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0886046290397644},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon49645.2022.9968701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968701","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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":14,"referenced_works":["https://openalex.org/W126122642","https://openalex.org/W1969472392","https://openalex.org/W1973396716","https://openalex.org/W1989407213","https://openalex.org/W2090747326","https://openalex.org/W2152404340","https://openalex.org/W2241553860","https://openalex.org/W2541273873","https://openalex.org/W2988145053","https://openalex.org/W3037694644","https://openalex.org/W3080833149","https://openalex.org/W3143145403","https://openalex.org/W3203919486","https://openalex.org/W4214623371"],"related_works":["https://openalex.org/W4285687848","https://openalex.org/W4289994039","https://openalex.org/W2240526870","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W3005999311","https://openalex.org/W4381746183","https://openalex.org/W1978397348","https://openalex.org/W2118356379"],"abstract_inverted_index":{"The":[0,119],"multiple":[1,131],"automatic":[2],"guided":[3],"vehicles":[4],"(AGVs)":[5],"pathfinding":[6,54],"methods":[7],"that":[8,122,144],"do":[9],"not":[10,124],"consider":[11],"the":[12,15,42,49,70,81,91,104,108,134,146],"uncertainties":[13,136],"of":[14,52,67],"future":[16],"motion":[17,71,135],"state":[18],"may":[19],"lead":[20],"to":[21],"large-scale":[22],"congestion.":[23],"To":[24],"address":[25],"this":[26,28],"problem,":[27],"paper":[29],"proposes":[30],"an":[31,58],"improved":[32,59,110],"conflict-based":[33],"search":[34,79],"(CBS)":[35],"algorithm":[36,61,112],"with":[37,45,99],"a":[38,65,78,127,140],"load-information":[39],"map.":[40],"Firstly,":[41],"grid":[43],"map":[44,150],"load":[46,151],"information":[47],"and":[48,117,149],"evaluation":[50,147],"criteria":[51,148],"collision-free":[53,128],"is":[55,62,74,113],"constructed.":[56],"Then,":[57],"CBS":[60,111],"designed":[63],"under":[64,133],"set":[66],"constraints":[68],"on":[69,80],"states.":[72],"This":[73],"achieved":[75],"by":[76],"performing":[77],"constrained":[82],"conflict":[83],"tree":[84],"between":[85],"individual":[86],"robots":[87],"using":[88],"load-information-map":[89],"at":[90,103],"high":[92],"level":[93],"while":[94],"exploring":[95],"efficient":[96],"single-robot":[97],"searches":[98],"modified":[100],"penalty":[101],"function":[102],"low":[105],"level.":[106],"Finally,":[107],"proposed":[109],"tested":[114],"through":[115],"simulation":[116],"experiment.":[118],"results":[120],"show":[121],"it":[123],"only":[125],"finds":[126],"path":[129],"for":[130],"AGVs":[132],"but":[137],"also":[138],"obtains":[139],"comprehensive":[141],"optimal":[142],"solution":[143],"considers":[145],"simultaneously.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
