{"id":"https://openalex.org/W2910645997","doi":"https://doi.org/10.1109/iros.2018.8594352","title":"Distributed Deep Reinforcement Learning based Indoor Visual Navigation","display_name":"Distributed Deep Reinforcement Learning based Indoor Visual Navigation","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910645997","doi":"https://doi.org/10.1109/iros.2018.8594352","mag":"2910645997"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5048721708","display_name":"Shih-Hsi Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Hsi Hsu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025283623","display_name":"Shao-Hung Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shao-Hung Chan","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071332232","display_name":"Ping-Tsang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Tsang Wu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555874","display_name":"Kun Xiao","orcid":"https://orcid.org/0000-0001-6588-0457"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Xiao","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101925654","display_name":"Li\u2010Chen Fu","orcid":"https://orcid.org/0000-0002-6947-7646"},"institutions":[{"id":"https://openalex.org/I29365675","display_name":"National Taiwan University of Arts","ror":"https://ror.org/00wy14q17","country_code":"TW","type":"education","lineage":["https://openalex.org/I29365675"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Chen Fu","raw_affiliation_strings":["Director of NTU Center for Artificial Intelligence & Advanced Robotics, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Director of NTU Center for Artificial Intelligence & Advanced Robotics, Taipei, Taiwan","institution_ids":["https://openalex.org/I29365675"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2532","last_page":"2537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7924954295158386},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7310224175453186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001634001731873},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5950810313224792},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5398504137992859},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5394808053970337},{"id":"https://openalex.org/keywords/doors","display_name":"Doors","score":0.5010230541229248},{"id":"https://openalex.org/keywords/mobile-robot-navigation","display_name":"Mobile robot navigation","score":0.4946751296520233},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.48175525665283203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4198414385318756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39913904666900635},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34412631392478943},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33755552768707275},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.19741681218147278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12652522325515747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924954295158386},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7310224175453186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001634001731873},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5950810313224792},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5398504137992859},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5394808053970337},{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.5010230541229248},{"id":"https://openalex.org/C26990112","wikidata":"https://www.wikidata.org/wiki/Q6887224","display_name":"Mobile robot navigation","level":5,"score":0.4946751296520233},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.48175525665283203},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4198414385318756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39913904666900635},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34412631392478943},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33755552768707275},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.19741681218147278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12652522325515747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8594352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":22,"referenced_works":["https://openalex.org/W1590697402","https://openalex.org/W1977046922","https://openalex.org/W2029143333","https://openalex.org/W2064675550","https://openalex.org/W2080834001","https://openalex.org/W2136655611","https://openalex.org/W2138294682","https://openalex.org/W2139972052","https://openalex.org/W2171028727","https://openalex.org/W2260756217","https://openalex.org/W2418628973","https://openalex.org/W2460657278","https://openalex.org/W2522340145","https://openalex.org/W2565555125","https://openalex.org/W2567020712","https://openalex.org/W2593841437","https://openalex.org/W2950560044","https://openalex.org/W2950872548","https://openalex.org/W2951660448","https://openalex.org/W2962887844","https://openalex.org/W2963019567","https://openalex.org/W2964043796"],"related_works":["https://openalex.org/W2093507260","https://openalex.org/W2562628082","https://openalex.org/W2378318959","https://openalex.org/W2083994890","https://openalex.org/W2369541203","https://openalex.org/W2360994936","https://openalex.org/W3081536868","https://openalex.org/W2523265608","https://openalex.org/W2122735287","https://openalex.org/W2324656256"],"abstract_inverted_index":{"Recently,":[0],"as":[1],"the":[2,13,17,30,43,74,86,96,114,126],"rise":[3],"of":[4,62,78,88],"deep":[5,99],"reinforcement":[6,100],"learning,":[7],"it":[8,58],"not":[9],"only":[10],"can":[11,28,108],"help":[12],"robot":[14,89],"to":[15,21,46,66,91],"convert":[16],"complicated":[18],"environment":[19,53,65,117],"scene":[20],"motor":[22],"control":[23],"command":[24],"directly":[25],"but":[26],"also":[27],"accomplish":[29],"navigation":[31,48,93,112,137],"task":[32],"properly.":[33],"In":[34,125],"this":[35],"paper,":[36],"we":[37,128],"propose":[38],"a":[39],"novel":[40],"structure,":[41],"where":[42],"objective":[44],"is":[45],"achieve":[47,109],"in":[49,102,113,140],"large-scale":[50,116],"indoor":[51,64,75,110],"complex":[52,68,92],"without":[54,118],"pre-constructed":[55],"map.":[56],"Generally,":[57],"requires":[59],"good":[60],"understanding":[61],"such":[63],"make":[67],"spatial":[69],"perception":[70],"possible,":[71],"especially":[72],"when":[73],"space":[76],"consists":[77],"many":[79],"walls":[80],"and":[81,122,142],"doors":[82],"which":[83],"might":[84],"block":[85],"view":[87],"leading":[90],"path.":[94],"By":[95],"proposed":[97,131],"distributed":[98],"learning":[101],"different":[103],"local":[104],"regions,":[105],"our":[106,130],"method":[107,132],"visual":[111],"aforementioned":[115],"extra":[119],"map":[120],"information":[121],"human":[123],"instruction.":[124],"experiments,":[127],"validate":[129],"by":[133],"conducting":[134],"highly":[135],"promising":[136],"tasks":[138],"both":[139],"simulation":[141],"real":[143],"environments.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
