{"id":"https://openalex.org/W2132403296","doi":"https://doi.org/10.1109/icsmc.2007.4413796","title":"The role of prediction in structured learning of partner robots","display_name":"The role of prediction in structured learning of partner robots","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2132403296","doi":"https://doi.org/10.1109/icsmc.2007.4413796","mag":"2132403296"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4413796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","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/A5088720541","display_name":"Naoyuki Kubota","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Department of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","Tokyo Metropolitan University [Tokyo]"],"affiliations":[{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Tokyo Metropolitan University [Tokyo]","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103423057","display_name":"Kenichiro Nishida","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenichiro Nishida","raw_affiliation_strings":["Department of Mechanical Engineering, Tokyo Metropolitan University, Hino, Tokyo, Japan","Department of Mechanical Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, 191-0065, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, 191-0065, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072335844","display_name":"Hiroyuki Masuta","orcid":"https://orcid.org/0000-0002-8609-5746"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Masuta","raw_affiliation_strings":["Department of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","Department of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, 191-0065, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, 191-0065, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088720541"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":1.8774,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88258549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"1901","last_page":"1906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9973000288009644,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9940000176429749,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9848999977111816,"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/computer-science","display_name":"Computer science","score":0.7108075022697449},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6863242387771606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45447593927383423},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40151822566986084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3451927900314331}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108075022697449},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6863242387771606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45447593927383423},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40151822566986084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3451927900314331}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2007.4413796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1495622954","https://openalex.org/W1503962455","https://openalex.org/W1517850710","https://openalex.org/W1530087215","https://openalex.org/W1554944419","https://openalex.org/W1985125279","https://openalex.org/W1987193542","https://openalex.org/W1998316273","https://openalex.org/W2021410644","https://openalex.org/W2105315608","https://openalex.org/W2129350984","https://openalex.org/W2171033594","https://openalex.org/W2913907444","https://openalex.org/W3023912307","https://openalex.org/W4245176872","https://openalex.org/W4312982345","https://openalex.org/W6759079918"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"the":[3,8,12,39,46,57,74,83,88,95,102,106,116,127,134],"role":[4],"of":[5,16,41,108,118,136],"prediction":[6,89],"in":[7,64,82,101],"structured":[9,119],"learning":[10,107],"for":[11,22,33],"prediction-based":[13,96],"perceptual":[14,20,36,84,97],"system":[15,21,85,104],"partner":[17,24],"robots.":[18],"The":[19,43,76],"a":[23,130],"robot":[25,44,77],"must":[26],"perform":[27],"many":[28,31],"functions":[29,110],"with":[30,66,129],"parameters":[32,53,58,113],"extracting":[34],"necessary":[35],"information":[37],"from":[38],"viewpoint":[40],"embodiment.":[42],"requires":[45],"learnability":[47],"and":[48,62],"adaptability":[49],"to":[50,73,132],"regulate":[51],"these":[52],"by":[54,86,111],"itself,":[55],"because":[56],"cannot":[59],"be":[60],"pre-defined":[61],"fixed":[63],"communication":[65],"human.":[67],"Predictive":[68],"capability":[69],"is":[70],"also":[71],"required":[72],"robot.":[75],"can":[78],"use":[79],"each":[80],"function":[81,100],"reflecting":[87],"result":[90],"efficiently.":[91],"Therefore":[92],"we":[93,122],"propose":[94],"system.":[98],"Each":[99],"proposed":[103,138],"enhances":[105],"other":[109],"regulating":[112],"based":[114],"on":[115,126],"concept":[117],"learning.":[120],"Finally,":[121],"show":[123],"experimental":[124],"results":[125],"interaction":[128],"human":[131],"discuss":[133],"effectiveness":[135],"our":[137],"method.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}