{"id":"https://openalex.org/W4285194984","doi":"https://doi.org/10.1109/lra.2022.3180042","title":"Android as a Receptionist in a Shopping Mall Using Inverse Reinforcement Learning","display_name":"Android as a Receptionist in a Shopping Mall Using Inverse Reinforcement Learning","publication_year":2022,"publication_date":"2022-06-03","ids":{"openalex":"https://openalex.org/W4285194984","doi":"https://doi.org/10.1109/lra.2022.3180042"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2022.3180042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2022.3180042","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"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 Robotics and Automation Letters","raw_type":"journal-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/A5025153228","display_name":"Zhichao Chen","orcid":"https://orcid.org/0000-0002-1362-7940"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhichao Chen","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1362-7940","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011580159","display_name":"Yutaka Nakamura","orcid":"https://orcid.org/0000-0001-6307-5104"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Nakamura","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Osaka, Japan","Behavior Learning Research Team, Guardian Robot Project, RIKEN, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6307-5104","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Behavior Learning Research Team, Guardian Robot Project, RIKEN, Kyoto, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101425832","display_name":"Hiroshi Ishiguro","orcid":"https://orcid.org/0000-0002-0805-7648"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Ishiguro","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Osaka, Japan","Advanced Telecommunications Research Institute International, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4758,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81903671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"7","issue":"3","first_page":"7091","last_page":"7098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12128","display_name":"AI in Service Interactions","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/android","display_name":"Android (operating system)","score":0.6103459596633911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052035689353943},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.6041526198387146},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5429581999778748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2953031659126282}],"concepts":[{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6103459596633911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052035689353943},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6041526198387146},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5429581999778748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2953031659126282},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2022.3180042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2022.3180042","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1973545355","https://openalex.org/W1976587136","https://openalex.org/W2010740912","https://openalex.org/W2109485196","https://openalex.org/W2123076731","https://openalex.org/W2145339207","https://openalex.org/W2157105625","https://openalex.org/W2159539333","https://openalex.org/W2396848712","https://openalex.org/W2554972835","https://openalex.org/W2559085405","https://openalex.org/W2570651606","https://openalex.org/W2593626965","https://openalex.org/W2746553466","https://openalex.org/W2766706290","https://openalex.org/W2792643794","https://openalex.org/W2884064340","https://openalex.org/W2963277051","https://openalex.org/W3037164854","https://openalex.org/W3041202696","https://openalex.org/W3205142155","https://openalex.org/W4286904999","https://openalex.org/W4321231565","https://openalex.org/W6631190155","https://openalex.org/W6637967152","https://openalex.org/W6684338915","https://openalex.org/W6685444567","https://openalex.org/W6687681856","https://openalex.org/W6696380822","https://openalex.org/W6718092244","https://openalex.org/W6745347688","https://openalex.org/W6749029207","https://openalex.org/W6755946096","https://openalex.org/W6761908843","https://openalex.org/W6768425981","https://openalex.org/W6778161298","https://openalex.org/W6810653392"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"For":[0],"human-robot":[1],"interaction":[2],"(HRI),":[3],"it":[4],"is":[5,23],"difficult":[6],"to":[7,15,34,67,70,89],"hand-craft":[8],"all":[9],"the":[10,37,95,102,114,120],"rules":[11],"for":[12,43,134],"robots":[13],"owing":[14],"diverse":[16],"situations.":[17],"Therefore,":[18],"inverse":[19],"reinforcement":[20],"learning":[21,82],"(IRL)":[22],"a":[24,50,65,75,86,90,131],"potential":[25,115],"solution":[26],"that":[27,80,101,126],"helps":[28],"transfer":[29],"human":[30,92],"knowledge":[31],"about":[32],"interactions":[33],"robots.":[35],"However,":[36],"feasibility":[38],"of":[39,54,108,116],"practically":[40],"using":[41,60,135],"IRL":[42,61,84,117,136],"HRI":[44,52,122,139],"remains":[45],"unknown.":[46],"Here,":[47],"we":[48,99],"demonstrate":[49,113],"practical":[51],"application":[53],"IRL.":[55],"An":[56],"android":[57,81,103],"was":[58],"trained":[59],"and":[62],"acted":[63],"as":[64],"receptionist":[66],"encourage":[68],"visitors":[69],"practice":[71],"hand":[72],"hygiene":[73],"in":[74,118,137],"shopping":[76],"mall.":[77],"We":[78,124],"found":[79,100],"through":[83],"has":[85],"competitive":[87],"ability":[88],"well-trained":[91],"operator":[93],"on":[94],"reception":[96],"task.":[97],"Furthermore,":[98],"maintained":[104],"high":[105],"performance":[106],"regardless":[107],"customer":[109],"traffic.":[110],"Our":[111],"results":[112],"advancing":[119],"social":[121],"field.":[123],"anticipate":[125],"our":[127],"work":[128],"will":[129],"be":[130],"starting":[132],"point":[133],"future":[138],"applications.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
