{"id":"https://openalex.org/W3133478370","doi":"https://doi.org/10.1109/iros45743.2020.9341333","title":"Spatio-temporal Attention Model for Tactile Texture Recognition","display_name":"Spatio-temporal Attention Model for Tactile Texture Recognition","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3133478370","doi":"https://doi.org/10.1109/iros45743.2020.9341333","mag":"3133478370"},"language":"en","primary_location":{"id":"doi:10.1109/iros45743.2020.9341333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5114859420","display_name":"Guanqun Cao","orcid":"https://orcid.org/0000-0002-3462-2567"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Guanqun Cao","raw_affiliation_strings":["University of Liverpool, Liverpool, U.K"],"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101854123","display_name":"Yi Zhou","orcid":"https://orcid.org/0009-0004-8877-5173"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["University of Liverpool, Liverpool, U.K"],"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073503574","display_name":"Danushka Bollegala","orcid":"https://orcid.org/0000-0003-4476-7003"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danushka Bollegala","raw_affiliation_strings":["University of Liverpool, Liverpool, U.K"],"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012646628","display_name":"Shan Luo","orcid":"https://orcid.org/0000-0003-4760-0372"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shan Luo","raw_affiliation_strings":["University of Liverpool, Liverpool, U.K"],"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114859420"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":2.6107,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.90474615,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9896","last_page":"9902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998999834060669,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10789","display_name":"Interactive and Immersive Displays","score":0.9775000214576721,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7906073331832886},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.7678410410881042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170888781547546},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6588937044143677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6196320056915283},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6143673062324524},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5414748787879944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5342354774475098},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5103668570518494},{"id":"https://openalex.org/keywords/tactile-perception","display_name":"Tactile perception","score":0.5040294528007507},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4542454183101654},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.39061909914016724},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.38901305198669434},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.222492516040802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10490408539772034},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06265929341316223}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7906073331832886},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.7678410410881042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170888781547546},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6588937044143677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6196320056915283},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6143673062324524},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5414748787879944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5342354774475098},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5103668570518494},{"id":"https://openalex.org/C3017819093","wikidata":"https://www.wikidata.org/wiki/Q328835","display_name":"Tactile perception","level":3,"score":0.5040294528007507},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4542454183101654},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.39061909914016724},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.38901305198669434},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.222492516040802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10490408539772034},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06265929341316223},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros45743.2020.9341333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:170401","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/170401/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W167402698","https://openalex.org/W1514535095","https://openalex.org/W1531614619","https://openalex.org/W1560331997","https://openalex.org/W1581953684","https://openalex.org/W1928906481","https://openalex.org/W1965953026","https://openalex.org/W1976723617","https://openalex.org/W2012571009","https://openalex.org/W2042599225","https://openalex.org/W2063517774","https://openalex.org/W2064098474","https://openalex.org/W2080317558","https://openalex.org/W2082669075","https://openalex.org/W2141399712","https://openalex.org/W2163605009","https://openalex.org/W2460852148","https://openalex.org/W2565843404","https://openalex.org/W2775635818","https://openalex.org/W2781493652","https://openalex.org/W2808746767","https://openalex.org/W2884585870","https://openalex.org/W2896457183","https://openalex.org/W2951527505","https://openalex.org/W2962858109","https://openalex.org/W2962965405","https://openalex.org/W2962983231","https://openalex.org/W2963263790","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963654998","https://openalex.org/W2963886462","https://openalex.org/W2967589260","https://openalex.org/W3099322865","https://openalex.org/W3099418585","https://openalex.org/W3124951096","https://openalex.org/W4385245566","https://openalex.org/W6630875275","https://openalex.org/W6640376812","https://openalex.org/W6680834391","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2766932195","https://openalex.org/W2112002268","https://openalex.org/W2295869952","https://openalex.org/W1996490590","https://openalex.org/W1726816713","https://openalex.org/W2566455068","https://openalex.org/W2105267066","https://openalex.org/W2770260910","https://openalex.org/W2010500171","https://openalex.org/W2138132165"],"abstract_inverted_index":{"Recently,":[0],"tactile":[1,27,44,55,62,84,111,119,195],"sensing":[2,28],"has":[3,136],"attracted":[4],"great":[5],"interest":[6],"in":[7,53,60,138],"robotics,":[8],"especially":[9],"for":[10,31,83],"facilitating":[11],"exploration":[12],"of":[13,22,33,92,108,117,142],"unstructured":[14],"environments":[15],"and":[16,113,132,177,207],"effective":[17],"manipulation.":[18,208],"A":[19],"detailed":[20],"understanding":[21],"the":[23,89,114,122,130,143,152,165,173,178,188],"surface":[24],"textures":[25],"via":[26],"is":[29,88,162],"essential":[30],"many":[32],"these":[34],"tasks.":[35],"Previous":[36],"works":[37],"on":[38,184],"texture":[39,85,112,196],"recognition":[40,144],"using":[41],"camera":[42],"based":[43,154,190],"sensors":[45],"have":[46],"been":[47],"limited":[48],"to":[49,95,104,124,148,151,201],"treating":[50],"all":[51,58],"regions":[52],"one":[54,61],"image":[56],"or":[57,69],"samples":[59],"sequence":[63],"equally,":[64],"which":[65,87],"includes":[66],"much":[67],"irrelevant":[68],"redundant":[70],"information.":[71],"In":[72,121],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77,118,139],"novel":[78],"Spatio-Temporal":[79],"Attention":[80],"Model":[81],"(STAM)":[82],"recognition,":[86],"very":[90],"first":[91],"its":[93],"kind":[94],"our":[96,168],"best":[97],"knowledge.":[98],"The":[99,193],"proposed":[100,169],"STAM":[101,170],"pays":[102],"attention":[103,135],"both":[105],"spatial":[106],"focus":[107],"each":[109],"single":[110],"temporal":[115],"correlation":[116],"sequence.":[120],"experiments":[123],"discriminate":[125],"100":[126],"different":[127],"fabric":[128],"textures,":[129],"spatially":[131],"temporally":[133],"selective":[134],"resulted":[137],"significant":[140],"improvement":[141],"accuracy,":[145],"by":[146,182],"up":[147],"18.8%,":[149],"compared":[150,186],"non-attention":[153],"models.":[155],"Specifically,":[156],"after":[157],"introducing":[158],"noisy":[159],"data":[160],"that":[161],"collected":[163],"before":[164],"contact":[166],"happens,":[167],"can":[171,180,198],"learn":[172],"salient":[174],"features":[175],"efficiently":[176],"accuracy":[179],"increase":[181],"15.23%":[183],"average":[185],"with":[187],"CNN":[189],"baseline":[191],"approach.":[192],"improved":[194],"perception":[197],"be":[199],"applied":[200],"facilitate":[202],"robot":[203],"tasks":[204],"like":[205],"grasping":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
