{"id":"https://openalex.org/W2137930277","doi":"https://doi.org/10.1109/iros.2008.4650794","title":"Active sensing based dynamical object feature extraction","display_name":"Active sensing based dynamical object feature extraction","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2137930277","doi":"https://doi.org/10.1109/iros.2008.4650794","mag":"2137930277"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2008.4650794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4650794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5002501266","display_name":"Shun Nishide","orcid":"https://orcid.org/0009-0004-0461-8606"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"S. Nishide","raw_affiliation_strings":["Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055922202","display_name":"Tetsuya Ogata","orcid":"https://orcid.org/0000-0001-7015-0379"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ogata","raw_affiliation_strings":["Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057640764","display_name":"Ryunosuke Yokoya","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"R. Yokoya","raw_affiliation_strings":["Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Dept. of Intell. Sci. & Technol., Kyoto Univ., Kyoto#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000727773","display_name":"Jun Tani","orcid":"https://orcid.org/0000-0002-9131-9206"},"institutions":[{"id":"https://openalex.org/I4210128938","display_name":"RIKEN Advanced Science Institute","ror":"https://ror.org/030vbmf58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210128938"]},{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"J. Tani","raw_affiliation_strings":["Brain Science Institute, RIKEN, Saitama, Japan","Science Institute, RIKEN, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Brain Science Institute, RIKEN, Saitama, Japan","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"Science Institute, RIKEN, Saitama, Japan","institution_ids":["https://openalex.org/I4210128938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049614400","display_name":"Kazunori Komatani","orcid":"https://orcid.org/0000-0002-6052-600X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Komatani","raw_affiliation_strings":["Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005141184","display_name":"Hiroshi G. Okuno","orcid":"https://orcid.org/0000-0002-8704-4318"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H.G. Okuno","raw_affiliation_strings":["Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002501266"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.8278,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80074729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9900000095367432,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.977400004863739,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.78859543800354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430348992347717},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7175014019012451},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6674948930740356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6140391826629639},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5975745916366577},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5540096163749695},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5156532526016235},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4929542541503906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49174144864082336},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48160216212272644},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4566487669944763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08032858371734619}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.78859543800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430348992347717},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7175014019012451},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6674948930740356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6140391826629639},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5975745916366577},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5540096163749695},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5156532526016235},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4929542541503906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49174144864082336},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48160216212272644},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4566487669944763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08032858371734619},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2008.4650794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4650794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.141.6654","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.6654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://winnie.kuis.kyoto-u.ac.jp/~okuno/paper/IROS08-Nishide.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":27,"referenced_works":["https://openalex.org/W1530087215","https://openalex.org/W1877909125","https://openalex.org/W1933657216","https://openalex.org/W1959983357","https://openalex.org/W2029434782","https://openalex.org/W2060245136","https://openalex.org/W2096917345","https://openalex.org/W2118857015","https://openalex.org/W2129350984","https://openalex.org/W2134831918","https://openalex.org/W2145040140","https://openalex.org/W2145097496","https://openalex.org/W2147664860","https://openalex.org/W2154642048","https://openalex.org/W2155487235","https://openalex.org/W2157323667","https://openalex.org/W2296039540","https://openalex.org/W2498917392","https://openalex.org/W3033062026","https://openalex.org/W3133056632","https://openalex.org/W4231002530","https://openalex.org/W4285719527","https://openalex.org/W6641231757","https://openalex.org/W6681247269","https://openalex.org/W6681576234","https://openalex.org/W6779117897","https://openalex.org/W6812632051"],"related_works":["https://openalex.org/W2396122647","https://openalex.org/W2136161268","https://openalex.org/W3165943254","https://openalex.org/W3143668791","https://openalex.org/W4386051551","https://openalex.org/W2289718384","https://openalex.org/W2538333368","https://openalex.org/W2725946685","https://openalex.org/W1995675544","https://openalex.org/W4387272257"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,23,28,109],"method":[4],"to":[5,62,113],"autonomously":[6],"extract":[7],"object":[8,54,74,79,139],"features":[9,75,133],"that":[10,76,126,134],"describe":[11,77],"their":[12],"dynamics":[13,24,43],"from":[14,93],"active":[15,96],"sensing":[16,97],"experiences.":[17],"The":[18,81,122],"model":[19,128],"is":[20,39,60,129],"composed":[21],"of":[22,51,65,111,131,138],"learning":[25,44,46],"module":[26,71],"and":[27,47,53,89,119],"feature":[29,69],"extraction":[30,70],"module.":[31],"Recurrent":[32],"Neural":[33],"Network":[34],"with":[35,98,103,108],"Parametric":[36],"Bias":[37],"(RNNPB)":[38],"utilized":[40],"for":[41,72],"the":[42,49,63,68,78,94,104,127,136],"module,":[45],"self-organizing":[48],"sequences":[50,91],"robot":[52],"motions.":[55,80,121],"A":[56],"hierarchical":[57],"neural":[58],"network":[59],"linked":[61],"input":[64],"RNNPB":[66],"as":[67],"extracting":[73,132],"two":[82],"modules":[83],"are":[84,101],"simultaneously":[85],"trained":[86],"using":[87],"image":[88],"motion":[90,107],"acquired":[92],"robotpsilas":[95,105],"objects.":[99],"Experiments":[100],"performed":[102],"pushing":[106],"variety":[110],"objects":[112],"generate":[114],"sliding,":[115],"falling":[116],"over,":[117],"bouncing,":[118],"rolling":[120],"results":[123],"have":[124],"shown":[125],"capable":[130],"distinguish":[135],"characteristics":[137],"dynamics.":[140]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
