{"id":"https://openalex.org/W1982057826","doi":"https://doi.org/10.1109/iros.2014.6942622","title":"Object manifold learning with action features for active tactile object recognition","display_name":"Object manifold learning with action features for active tactile object recognition","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1982057826","doi":"https://doi.org/10.1109/iros.2014.6942622","mag":"1982057826"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2014.6942622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102022194","display_name":"Daisuke Tanaka","orcid":"https://orcid.org/0000-0002-3489-5792"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Tanaka","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042074952","display_name":"Takamitsu Matsubara","orcid":"https://orcid.org/0000-0003-3545-4814"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takamitsu Matsubara","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020381746","display_name":"Kentaro Ichien","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Ichien","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087612281","display_name":"Kenji Sugimoto","orcid":"https://orcid.org/0000-0002-5149-5643"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Sugimoto","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"608","last_page":"614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9962999820709229,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9962999820709229,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9933000206947327,"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":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7646462917327881},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6914129257202148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775200366973877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.596407413482666},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5540242195129395},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5490583777427673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5124693512916565},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.4802030324935913},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4735376238822937},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.4635882079601288},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44929730892181396},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4168328046798706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40632033348083496}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7646462917327881},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6914129257202148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775200366973877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.596407413482666},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5540242195129395},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5490583777427673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5124693512916565},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.4802030324935913},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4735376238822937},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.4635882079601288},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44929730892181396},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4168328046798706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40632033348083496},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2014.6942622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.65","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.65","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://genesis.naist.jp/~takam-m/IROS14Tanaka.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1746819321","https://openalex.org/W1972837991","https://openalex.org/W1976536305","https://openalex.org/W1985428381","https://openalex.org/W2030204236","https://openalex.org/W2046565838","https://openalex.org/W2052968995","https://openalex.org/W2054228171","https://openalex.org/W2080317558","https://openalex.org/W2114128011","https://openalex.org/W2115448812","https://openalex.org/W2123967136","https://openalex.org/W2136111243","https://openalex.org/W2138648596","https://openalex.org/W2151491017","https://openalex.org/W2166318210","https://openalex.org/W2168986765","https://openalex.org/W2296434941","https://openalex.org/W2415785883","https://openalex.org/W2901136733","https://openalex.org/W4211049957","https://openalex.org/W4246238737","https://openalex.org/W6677172227","https://openalex.org/W6678157427","https://openalex.org/W6680375596","https://openalex.org/W6697261684","https://openalex.org/W6716572672","https://openalex.org/W6756486208"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W2931531042","https://openalex.org/W1489327846","https://openalex.org/W4287375746","https://openalex.org/W3124275785"],"abstract_inverted_index":{"In":[0,40],"this":[1,64],"paper,":[2],"we":[3,43,66],"consider":[4],"an":[5,20,80,101],"object":[6,25,74,94,133],"recognition":[7],"problem":[8],"based":[9],"on":[10],"tactile":[11,29,73,104],"information":[12],"using":[13,110],"a":[14,68,85,120,173],"robot":[15,18],"hand.":[16],"The":[17],"performs":[19],"exploratory":[21,142],"action":[22,108,130],"to":[23,26,128,150],"the":[24,28,56,93,117,124,129,132,138,153,163],"obtain":[27],"information,":[30],"however,":[31],"poorly":[32],"designed":[33],"actions":[34,143],"may":[35],"not":[36],"be":[37,60,145],"sufficiently":[38],"informative.":[39],"contrast,":[41],"if":[42],"could":[44],"collect":[45,152],"sample":[46],"data":[47,106,126,154,171],"by":[48],"sequentially":[49],"performing":[50],"informative":[51],"actions,":[52],"i.e.,":[53],"active":[54,72,81],"learning,":[55],"required":[57],"time":[58],"would":[59],"drastically":[61],"reduced.":[62],"To":[63],"end,":[65],"propose":[67],"novel":[69],"approach":[70,77],"for":[71,155],"recognition.":[75,156],"Our":[76],"combines":[78],"both":[79],"learning":[82],"scheme":[83],"and":[84,107,131,148,172],"nonlinear":[86],"dimensionality":[87],"reduction":[88],"method.":[89],"We":[90,157],"first":[91],"extracts":[92],"manifold,":[95],"each":[96],"coordinate":[97],"of":[98,123,165],"which":[99],"represents":[100],"object,":[102],"from":[103],"sensor":[105],"features":[109],"Gaussian":[111],"Process":[112],"Latent":[113],"Variable":[114],"Models.":[115],"At":[116],"same":[118],"time,":[119],"probabilistic":[121],"model":[122],"observed":[125],"related":[127],"are":[134],"learned.":[135],"Then,":[136],"with":[137,169],"learned":[139],"model,":[140],"optimally-informative":[141],"can":[144],"computed":[146],"sequentially,":[147],"performed":[149],"efficiently":[151],"show":[158],"experimental":[159],"results":[160],"that":[161],"verify":[162],"effectiveness":[164],"our":[166],"proposed":[167],"method":[168],"synthetic":[170],"real":[174],"robot.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
