{"id":"https://openalex.org/W2774368367","doi":"https://doi.org/10.1109/iros.2017.8205956","title":"Recursive neural network based semantic navigation of an autonomous mobile robot through understanding human verbal instructions","display_name":"Recursive neural network based semantic navigation of an autonomous mobile robot through understanding human verbal instructions","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2774368367","doi":"https://doi.org/10.1109/iros.2017.8205956","mag":"2774368367"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8205956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8205956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5113503581","display_name":"Ren C. Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ren C. Luo","raw_affiliation_strings":["Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058193890","display_name":"Chang-Jiun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Jiun Chen","raw_affiliation_strings":["School of Engineering and Applied Science, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6123,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71483636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1519","last_page":"1524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.998199999332428,"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/T13382","display_name":"Robotics and Automated Systems","score":0.998199999332428,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9977999925613403,"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":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.8259538412094116},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6591947674751282},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6552047729492188},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.606759250164032},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5612603425979614},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5492656826972961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5412418842315674},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42003798484802246},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07845747470855713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259538412094116},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6591947674751282},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6552047729492188},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.606759250164032},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5612603425979614},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5492656826972961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412418842315674},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42003798484802246},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07845747470855713},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2017.8205956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8205956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1509232102","https://openalex.org/W1554244739","https://openalex.org/W2012993976","https://openalex.org/W2016503088","https://openalex.org/W2017669754","https://openalex.org/W2018016352","https://openalex.org/W2019385942","https://openalex.org/W2034936723","https://openalex.org/W2117892041","https://openalex.org/W2122986079","https://openalex.org/W2136556525","https://openalex.org/W2141936687","https://openalex.org/W2159885489","https://openalex.org/W2167147881","https://openalex.org/W2214329760","https://openalex.org/W2244203411","https://openalex.org/W2250539671","https://openalex.org/W2345829113","https://openalex.org/W2402652555","https://openalex.org/W2411093439","https://openalex.org/W2562913593","https://openalex.org/W2565555125","https://openalex.org/W3186014234","https://openalex.org/W6655285449"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W1569283511","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2391251536","https://openalex.org/W2967743314","https://openalex.org/W2606825221","https://openalex.org/W2184085865","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3,74],"aim":[4],"to":[5,9,15,47,69,81,101,105,129],"implement":[6],"the":[7,31,49,71,76,83,87,124,130,139],"ability":[8],"navigate":[10,52,128],"through":[11],"unknown":[12,55],"environments":[13],"according":[14,104],"some":[16],"given":[17],"instructions":[18,33],"on":[19],"mobile":[20,50],"robots.":[21],"We":[22],"proposed":[23],"a":[24],"Recursive":[25],"Neural":[26],"Network":[27],"model,":[28],"which":[29],"takes":[30],"user":[32],"and":[34,43,64,116,120],"data":[35],"acquired":[36],"by":[37],"laser":[38],"range":[39],"finder":[40],"as":[41,95],"input,":[42],"outputs":[44],"control":[45],"velocities":[46],"make":[48],"robot":[51,125],"in":[53],"an":[54],"indoor":[56],"environment.":[57],"Instructions":[58],"are":[59],"using":[60],"commonly":[61],"verbal":[62],"expressions,":[63],"instead":[65],"of":[66,78,107],"establishing":[67],"models":[68],"represent":[70],"semantic":[72],"meanings,":[73],"use":[75],"concept":[77],"word":[79],"vectors":[80],"feed":[82],"information":[84],"directly":[85],"into":[86],"neural":[88],"network":[89],"models.":[90],"Using":[91],"human-controlled":[92],"navigating":[93],"records":[94],"training":[96],"data,":[97],"robots":[98],"learn":[99],"how":[100],"execute":[102],"navigations":[103],"various":[106],"different":[108],"instructions.":[109],"Experiments":[110],"were":[111],"conducted":[112],"under":[113],"both":[114],"simulation":[115],"real":[117],"world":[118],"environments,":[119],"results":[121],"show":[122],"that":[123],"can":[126],"successfully":[127],"goal":[131],"positions":[132],"without":[133],"having":[134],"any":[135],"prior":[136],"knowledge":[137],"about":[138],"environments.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}