{"id":"https://openalex.org/W2912215027","doi":"https://doi.org/10.1109/access.2019.2894626","title":"A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot","display_name":"A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2912215027","doi":"https://doi.org/10.1109/access.2019.2894626","mag":"2912215027"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2894626","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894626","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625490.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625490.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042054600","display_name":"Jianya Yuan","orcid":"https://orcid.org/0000-0003-1435-7505"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianya Yuan","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1435-7505","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740072","display_name":"Hongjian Wang","orcid":"https://orcid.org/0000-0003-1187-0135"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Wang","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082977792","display_name":"Changjian Lin","orcid":"https://orcid.org/0000-0003-1521-0193"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Lin","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101643689","display_name":"Dawei Liu","orcid":"https://orcid.org/0009-0005-1253-3351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dawei Liu","raw_affiliation_strings":["Qingdao Topscomm Communication Co., Ltd., Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Topscomm Communication Co., Ltd., Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101960451","display_name":"Dan Yu","orcid":"https://orcid.org/0000-0002-7698-3037"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Yu","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042054600"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.0823,"has_fulltext":true,"cited_by_count":83,"citation_normalized_percentile":{"value":0.95129599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"15140","last_page":"15151"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874819040298462},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6603989005088806},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6552039384841919},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.621281087398529},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4284498691558838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4175875782966614},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3942317068576813},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28370290994644165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1622612178325653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874819040298462},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6603989005088806},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6552039384841919},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.621281087398529},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4284498691558838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4175875782966614},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3942317068576813},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28370290994644165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1622612178325653}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2894626","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894626","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625490.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c3861ab3c8ed465a9088c844a5434413","is_oa":true,"landing_page_url":"https://doaj.org/article/c3861ab3c8ed465a9088c844a5434413","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 15140-15151 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2894626","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894626","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625490.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1081757666","display_name":null,"funder_award_id":"F2015035","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G2613986417","display_name":null,"funder_award_id":"61633008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4491844461","display_name":null,"funder_award_id":"F2015035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G746292463","display_name":null,"funder_award_id":"51609046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912215027.pdf","grobid_xml":"https://content.openalex.org/works/W2912215027.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W82800091","https://openalex.org/W1617861041","https://openalex.org/W1968975597","https://openalex.org/W1983972263","https://openalex.org/W2013724094","https://openalex.org/W2026535857","https://openalex.org/W2039167866","https://openalex.org/W2082279538","https://openalex.org/W2100561003","https://openalex.org/W2143508399","https://openalex.org/W2145339207","https://openalex.org/W2157678966","https://openalex.org/W2235553398","https://openalex.org/W2255466643","https://openalex.org/W2374314976","https://openalex.org/W2410991046","https://openalex.org/W2530263920","https://openalex.org/W2562163136","https://openalex.org/W2563244137","https://openalex.org/W2565555125","https://openalex.org/W2581596705","https://openalex.org/W2604842041","https://openalex.org/W2738638683","https://openalex.org/W2746411854","https://openalex.org/W2764190863","https://openalex.org/W2888241724","https://openalex.org/W2906436642","https://openalex.org/W2963428623","https://openalex.org/W2963864421","https://openalex.org/W4298044667","https://openalex.org/W4298857966","https://openalex.org/W4301501993","https://openalex.org/W4302570325","https://openalex.org/W6637199516","https://openalex.org/W6677311850","https://openalex.org/W6684205842","https://openalex.org/W6736155649","https://openalex.org/W6757914073"],"related_works":["https://openalex.org/W2122871747","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W1980828932","https://openalex.org/W2161428574","https://openalex.org/W3114279067","https://openalex.org/W1972453571","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W2359600231"],"abstract_inverted_index":{"A":[0,30],"dynamic":[1],"path":[2,20,158,167,179],"planning":[3,21,168,180],"method":[4,113,172],"based":[5],"on":[6],"a":[7,23,41,156],"gated":[8],"recurrent":[9],"unit-recurrent":[10],"neural":[11,32],"network":[12,33,119,152],"model":[13,49,120,153],"is":[14,37,114,173],"proposed":[15,171],"for":[16],"the":[17,47,52,55,89,95,99,109,117,123,130,133,138,151,170,177,185],"problem":[18],"of":[19,22,54,108,137],"mobile":[24,139],"robot":[25,56,140,186],"in":[26,129,159,184],"an":[27,73,79,160],"unknown":[28,161],"space.":[29],"deep":[31],"with":[34,164],"sensor":[35],"input":[36,126],"used":[38],"to":[39,46,50,87,121,182],"generate":[40],"new":[42],"control":[43,51],"strategy":[44],"output":[45,128],"physical":[48],"movement":[53],"and":[57,64,78,98,127,135,146],"thus":[58],"achieve":[59],"collision":[60],"avoidance":[61],"behavior.":[62],"Inputs":[63],"tags":[65],"are":[66,103,141],"derived":[67],"from":[68],"sample":[69,131],"sets":[70],"generated":[71],"by":[72],"improved":[74,80],"artificial":[75,110],"potential":[76,111],"field":[77,106,112],"ant":[81,90],"colony":[82,91],"optimization":[83],"algorithm.":[84],"In":[85],"order":[86],"make":[88],"algorithm":[92],"converge":[93],"quickly,":[94],"pheromone":[96],"trail":[97],"state":[100],"transition":[101],"probability":[102],"improved.":[104],"The":[105,143],"function":[107],"modified.":[115],"Using":[116],"end-to-end":[118],"learn":[122],"mapping":[124],"between":[125],"data,":[132],"direction":[134],"speed":[136],"obtained.":[142],"simulation":[144],"experiments":[145],"realistic":[147],"simulations":[148],"show":[149],"that":[150],"can":[154],"plan":[155],"reasonable":[157],"environment.":[162],"Compared":[163],"other":[165],"traditional":[166,178],"algorithms,":[169],"more":[174],"robust":[175],"than":[176],"algorithms":[181],"differences":[183],"structure.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}