{"id":"https://openalex.org/W2161338145","doi":"https://doi.org/10.1109/iros.2008.4650780","title":"Shape classification in rotation manipulation by universal robot hand","display_name":"Shape classification in rotation manipulation by universal robot hand","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2161338145","doi":"https://doi.org/10.1109/iros.2008.4650780","mag":"2161338145"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2008.4650780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4650780","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":"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/A5064765751","display_name":"Hiroyuki Nakamoto","orcid":"https://orcid.org/0000-0001-8259-9317"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Nakamoto","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088292486","display_name":"Futoshi Kobayashi","orcid":"https://orcid.org/0000-0002-4663-6448"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"F. Kobayashi","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008297625","display_name":"Nobuaki Imamura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131401","display_name":"Hiroshima International University","ror":"https://ror.org/03dk6an77","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210131401"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Imamura","raw_affiliation_strings":["Department of Mechanics and Robotics, Faculty of Engineering, Hiroshima International University, Kure, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanics and Robotics, Faculty of Engineering, Hiroshima International University, Kure, Japan","institution_ids":["https://openalex.org/I4210131401"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028835267","display_name":"Hidenori Shirasawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Shirasawa","raw_affiliation_strings":["Advanced Materials Processing Institute, Amagasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Materials Processing Institute, Amagasaki, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102720813","display_name":"Fumiaki Kojima","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"F. Kojima","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3354,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88509947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/kurtosis","display_name":"Kurtosis","score":0.903028666973114},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.706231951713562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7007434368133545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6022772789001465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5890477299690247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49920153617858887},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4863041341304779},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4741843640804291},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43571770191192627},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.41614076495170593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27666935324668884},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.17856526374816895},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07971179485321045}],"concepts":[{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.903028666973114},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.706231951713562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7007434368133545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6022772789001465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5890477299690247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49920153617858887},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4863041341304779},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4741843640804291},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43571770191192627},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.41614076495170593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27666935324668884},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.17856526374816895},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07971179485321045},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2008.4650780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4650780","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1899452593","https://openalex.org/W1988046337","https://openalex.org/W2012497021","https://openalex.org/W2030204236","https://openalex.org/W2045671685","https://openalex.org/W2134805236","https://openalex.org/W2159593326","https://openalex.org/W2162990365","https://openalex.org/W2180140657","https://openalex.org/W2296944518","https://openalex.org/W2335505791","https://openalex.org/W6697329900"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W2037499216","https://openalex.org/W1506384729","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W3127045225","https://openalex.org/W2075698830","https://openalex.org/W3216026256","https://openalex.org/W2059891554","https://openalex.org/W2027857183"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,11,68,75,79,90,94,119],"method":[3,39,113],"for":[4],"shape":[5,56,105],"classification":[6,38],"in":[7],"rotation":[8],"manipulation":[9],"by":[10],"multi-fingered":[12],"robotic":[13,16],"hand.":[14],"The":[15],"hand":[17,73],"has":[18],"five":[19],"fingers":[20],"equipped":[21],"with":[22,118],"tactile":[23,26],"sensors.":[24],"Each":[25],"sensor":[27],"can":[28,114],"measure":[29],"the":[30,42,50,58,72,86,102],"pressure":[31,51,70],"distribution":[32],"once":[33],"every":[34],"10(ms).":[35],"Our":[36],"proposed":[37],"consists":[40],"of":[41,57,81,122],"following":[43],"processes:":[44],"A":[45],"kurtosis":[46,76,87],"is":[47,83],"calculated":[48,84],"from":[49],"distribution,":[52,71],"and":[53,66,89],"it":[54],"quantifies":[55],"current":[59],"contact":[60,103],"surface.":[61],"By":[62],"rotating":[63],"an":[64],"object":[65],"measuring":[67],"time-series":[69],"obtains":[74],"pattern.":[77],"Finally,":[78],"degree":[80,121],"similarity":[82],"between":[85],"pattern":[88,92],"reference":[91],"through":[93],"dynamic":[95],"programming":[96],"(DP)":[97],"matching":[98],"scheme.":[99],"This":[100],"classifies":[101],"surface":[104],"using":[106],"thresholds.":[107],"Laboratory":[108],"experiments":[109],"confirm":[110],"that":[111],"this":[112],"classify":[115],"three":[116],"objects":[117],"high":[120],"accuracy.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
