{"id":"https://openalex.org/W2102515918","doi":"https://doi.org/10.1109/robot.2009.5152574","title":"Statistically integrated semiotics that enables mutual inference between linguistic and behavioral symbols for humanoid robots","display_name":"Statistically integrated semiotics that enables mutual inference between linguistic and behavioral symbols for humanoid robots","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2102515918","doi":"https://doi.org/10.1109/robot.2009.5152574","mag":"2102515918"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2009.5152574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2009.5152574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Automation","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/A5019765580","display_name":"Wataru Takano","orcid":"https://orcid.org/0000-0002-4846-3552"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"W. Takano","raw_affiliation_strings":["Mechano-Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","Mechano-Informatics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Japan"],"affiliations":[{"raw_affiliation_string":"Mechano-Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Mechano-Informatics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040633710","display_name":"Yoshihiko Nakamura","orcid":"https://orcid.org/0000-0001-7162-5102"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Nakamura","raw_affiliation_strings":["Mechano-Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","Mechano-Informatics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Japan"],"affiliations":[{"raw_affiliation_string":"Mechano-Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Mechano-Informatics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019765580"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":5.0065,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94908412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"646","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9962000250816345,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9962000250816345,"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/T12290","display_name":"Human Motion and Animation","score":0.9908000230789185,"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/T12090","display_name":"Language and cultural evolution","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7221649289131165},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7089065313339233},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5874413847923279},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.5615442395210266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443484783172607},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.5077880024909973},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5032791495323181},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4957481324672699},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.4943206310272217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47953152656555176},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.47161486744880676},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4210056662559509},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2871870696544647},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.25097769498825073},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12233653664588928},{"id":"https://openalex.org/keywords/comprehension-approach","display_name":"Comprehension approach","score":0.07791495323181152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221649289131165},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7089065313339233},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5874413847923279},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.5615442395210266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443484783172607},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.5077880024909973},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5032791495323181},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4957481324672699},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.4943206310272217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47953152656555176},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.47161486744880676},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4210056662559509},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2871870696544647},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.25097769498825073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12233653664588928},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.07791495323181152}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.2009.5152574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2009.5152574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W23665312","https://openalex.org/W165283731","https://openalex.org/W1526915519","https://openalex.org/W1982486572","https://openalex.org/W2034600737","https://openalex.org/W2097714468","https://openalex.org/W2097815751","https://openalex.org/W2109385289","https://openalex.org/W2128774515","https://openalex.org/W2134634502","https://openalex.org/W2145097496","https://openalex.org/W2148300948","https://openalex.org/W2328013031","https://openalex.org/W2543386152","https://openalex.org/W6600963065","https://openalex.org/W6606787761"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W1649222155","https://openalex.org/W1563618553","https://openalex.org/W2091333605","https://openalex.org/W3045475294","https://openalex.org/W2058802714","https://openalex.org/W2108131333","https://openalex.org/W2562952297","https://openalex.org/W138710363","https://openalex.org/W2102515918"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,25,30,40,46,50,55,68,71,79,92,97,108,117,120,129,132,170,175,180,187,190],"linguistic":[4,57,126],"model":[5,16,28,37,66,77,82,95,100,178,183],"based":[6],"on":[7,189],"symbolization":[8],"of":[9,18,21,42,70,91,125,128,145,151,159,166,174],"motion":[10,26,35,43,75,93,109,152,160,167,176],"patterns":[11,44,110,161,168],"for":[12,142],"humanoid":[13],"robots.":[14],"The":[15,34,63,74,89,122,154],"consists":[17],"two":[19,123],"kinds":[20,124],"stochastic":[22],"models":[23],":":[24],"language":[27,32,36,65,76,81,94,99,177,182],"and":[29,78,86,96,131,148,164,179],"natural":[31,64,80,98,181],"model.":[33],"stochastically":[38],"connects":[39],"symbols":[41],"to":[45,84,105,115,157],"morpheme":[47,146],"words":[48,147],"through":[49,172],"latent":[51],"states":[52],"which":[53],"represent":[54],"underlying":[56],"structure":[58],"such":[59],"as":[60,111,162],"semantic":[61],"contents.":[62],"represents":[67],"dynamics":[69],"word":[72],"classes.":[73],"correspond":[83],"semantics":[85],"syntax":[87],"respectively.":[88],"integration":[90,173],"allows":[101],"robots":[102],"not":[103],"only":[104],"linguistically":[106],"interpret":[107],"sentences":[112,163,171],"but":[113],"also":[114],"generate":[116],"motions":[118],"from":[119,169],"sentences.":[121],"processes":[127],"interpretation":[130,158],"generation":[133,165],"can":[134],"be":[135],"obtained":[136],"by":[137,186],"solving":[138],"search":[139,141],"problems:":[140],"a":[143,149],"sequence":[144],"symbol":[150],"pattern.":[153],"proposed":[155],"approach":[156],"is":[184],"validated":[185],"experiment":[188],"human":[191],"behavioral":[192],"data.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}