{"id":"https://openalex.org/W2108131333","doi":"https://doi.org/10.1109/ichr.2008.4755976","title":"Integrating whole body motion primitives and natural language for humanoid robots","display_name":"Integrating whole body motion primitives and natural language for humanoid robots","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2108131333","doi":"https://doi.org/10.1109/ichr.2008.4755976","mag":"2108131333"},"language":"en","primary_location":{"id":"doi:10.1109/ichr.2008.4755976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichr.2008.4755976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots","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":["University of Tokyo, Japan","University of Tokyo, Tokyo,"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"University of Tokyo, Tokyo,","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":["University of Tokyo, Japan","University of Tokyo, Tokyo,"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"University of Tokyo, Tokyo,","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":2.0427,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87553417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9983999729156494,"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":0.9983999729156494,"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":0.996999979019165,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9962999820709229,"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":0.7812279462814331},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.7672007083892822},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6584994196891785},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6213555932044983},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.5771369934082031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5733840465545654},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5720846056938171},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5160140991210938},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4988412857055664},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.4645155966281891},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4244408905506134},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4183276891708374},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4133240580558777},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.33158692717552185},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18500927090644836},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1451474130153656},{"id":"https://openalex.org/keywords/comprehension-approach","display_name":"Comprehension approach","score":0.09879380464553833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812279462814331},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.7672007083892822},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6584994196891785},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6213555932044983},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.5771369934082031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5733840465545654},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5720846056938171},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5160140991210938},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4988412857055664},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.4645155966281891},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4244408905506134},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4183276891708374},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4133240580558777},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.33158692717552185},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18500927090644836},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1451474130153656},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.09879380464553833}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichr.2008.4755976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichr.2008.4755976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W23665312","https://openalex.org/W165283731","https://openalex.org/W229479180","https://openalex.org/W1526915519","https://openalex.org/W1982486572","https://openalex.org/W2034600737","https://openalex.org/W2097714468","https://openalex.org/W2097815751","https://openalex.org/W2108794515","https://openalex.org/W2128774515","https://openalex.org/W2145097496","https://openalex.org/W2148300948","https://openalex.org/W2543386152","https://openalex.org/W4211112268","https://openalex.org/W6600963065","https://openalex.org/W6606787761"],"related_works":["https://openalex.org/W875474545","https://openalex.org/W2394860946","https://openalex.org/W2183673572","https://openalex.org/W2913520953","https://openalex.org/W3075498906","https://openalex.org/W3213549959","https://openalex.org/W143910215","https://openalex.org/W4387896144","https://openalex.org/W3129739276","https://openalex.org/W2364063174"],"abstract_inverted_index":{"This":[0,27],"paper":[1],"describes":[2],"the":[3,42,65,69,75,79,90,106,119,124,145,152,156,161,167],"novel":[4],"approach":[5],"to":[6,19,112],"integration":[7,162],"of":[8,14,25,30,118,131,151],"natural":[9,38,83,107,125,157],"language":[10,35,39,44,84,103,108,121,126,154,158],"processing":[11],"and":[12,37,72,105,114,123,137,160],"symbolization":[13],"motion":[15,34,43,53,66,102,120,132,153,172],"patterns":[16,54,133],"in":[17],"order":[18,87],"allow":[20],"for":[21,144],"humanoid":[22],"robotpsilas":[23],"acquisition":[24],"language.":[26],"framework":[28],"consists":[29],"two":[31],"models":[32],":":[33],"model":[36,85,104,109,122,127,159],"model.":[40,100],"In":[41],"model,":[45,155],"morpheme":[46,80,91],"words":[47,92],"are":[48,110],"stochastically":[49],"associated":[50],"with":[51],"symbolized":[52],"via":[55,93],"latent":[56,70,76],"variables.":[57],"The":[58,82,101,141,149],"association":[59],"is":[60,147,163],"defined":[61],"by":[62,96,134,165],"probability":[63,73],"that":[64,74],"pattern":[67],"generates":[68,78],"variable":[71,77],"word.":[81],"represents":[86],"relation":[88],"among":[89],"word":[94],"classes":[95],"using":[97],"hidden":[98],"Markov":[99],"equivalent":[111],"semantics":[113],"syntax":[115],"respectively.":[116],"Integration":[117],"achieves":[128],"linguistic":[129],"interpretation":[130],"composing":[135],"semantically":[136],"syntactically":[138],"appropriate":[139],"sentence.":[140],"efficient":[142],"algorithm":[143,169],"composition":[146],"proposed.":[148],"validity":[150],"demonstrated":[164],"testing":[166],"implemented":[168],"on":[170],"human":[171],"data.":[173]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
