{"id":"https://openalex.org/W2914665668","doi":"https://doi.org/10.1109/humanoids.2018.8624987","title":"Superhuman Performance in Tactile Material Classification and Differentiation with a Flexible Pressure-Sensitive Skin","display_name":"Superhuman Performance in Tactile Material Classification and Differentiation with a Flexible Pressure-Sensitive Skin","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2914665668","doi":"https://doi.org/10.1109/humanoids.2018.8624987","mag":"2914665668"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids.2018.8624987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2018.8624987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","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/A5061822479","display_name":"Andreea Tulbure","orcid":"https://orcid.org/0000-0003-3775-700X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andreea Tulbure","raw_affiliation_strings":["DLR Institute of Robotics and Mechatronics, Germany"],"affiliations":[{"raw_affiliation_string":"DLR Institute of Robotics and Mechatronics, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058972548","display_name":"Berthold B\u00e4uml","orcid":"https://orcid.org/0000-0002-4545-4765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berthold Bauml","raw_affiliation_strings":["DLR Institute of Robotics and Mechatronics, Germany"],"affiliations":[{"raw_affiliation_string":"DLR Institute of Robotics and Mechatronics, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061822479"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3811,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.61409231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.7869138717651367},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7120383977890015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518279314041138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6047365665435791},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6004841923713684},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5577625036239624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47790250182151794},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4741120934486389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3718153238296509},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22771579027175903},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07071805000305176}],"concepts":[{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.7869138717651367},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7120383977890015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518279314041138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047365665435791},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6004841923713684},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5577625036239624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47790250182151794},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4741120934486389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3718153238296509},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22771579027175903},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07071805000305176},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/humanoids.2018.8624987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2018.8624987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:125467","is_oa":false,"landing_page_url":"https://elib.dlr.de/125467/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W971303027","https://openalex.org/W1522301498","https://openalex.org/W1680392829","https://openalex.org/W1836465849","https://openalex.org/W1945616565","https://openalex.org/W1965953026","https://openalex.org/W1995213905","https://openalex.org/W2005636679","https://openalex.org/W2031763660","https://openalex.org/W2037461330","https://openalex.org/W2067454831","https://openalex.org/W2080317558","https://openalex.org/W2090149479","https://openalex.org/W2094302409","https://openalex.org/W2099322603","https://openalex.org/W2107780715","https://openalex.org/W2134167019","https://openalex.org/W2138621090","https://openalex.org/W2209829030","https://openalex.org/W2216666738","https://openalex.org/W2271840356","https://openalex.org/W2551441401","https://openalex.org/W2552248783","https://openalex.org/W2566181476","https://openalex.org/W2567050476","https://openalex.org/W2735974022","https://openalex.org/W2963169977","https://openalex.org/W2963207607","https://openalex.org/W2963654998","https://openalex.org/W2964059111","https://openalex.org/W2964121744","https://openalex.org/W3091905774","https://openalex.org/W6617145748","https://openalex.org/W6631190155","https://openalex.org/W6637386731","https://openalex.org/W6638667902","https://openalex.org/W6640425456","https://openalex.org/W6641843117","https://openalex.org/W6651481382","https://openalex.org/W6729574731","https://openalex.org/W6740758455","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2033256001","https://openalex.org/W2057088859","https://openalex.org/W1489808091","https://openalex.org/W1895481218","https://openalex.org/W2611989081","https://openalex.org/W3163518500","https://openalex.org/W2025677844","https://openalex.org/W3213722473","https://openalex.org/W2110944602"],"abstract_inverted_index":{"In":[0,145],"this":[1],"paper,":[2],"we":[3,65,154],"show":[4,155],"that":[5,156],"a":[6,10,31,47,67,112,136,146],"robot":[7],"equipped":[8],"with":[9,85,151],"flexible":[11],"and":[12,37,81,90],"commercially":[13],"available":[14],"tactile":[15,63,69,169],"skin":[16],"can":[17],"exceed":[18],"human":[19,148,158],"performance":[20,149,159,166],"in":[21,46],"the":[22,44,53,59,99,109,130,157,164],"challenging":[23,138],"tasks":[24],"of":[25,38,50,140],"material":[26,33,39,100,110],"classification,":[27],"i.e.,":[28,41],"uniquely":[29],"identifying":[30],"given":[32,48],"by":[34],"touch":[35],"alone,":[36],"differentiation,":[40],"deciding":[42],"if":[43],"materials":[45,51],"pair":[49],"are":[52],"same":[54],"or":[55],"different.":[56],"For":[57,108],"processing":[58],"high":[60,104,125],"dimensional":[61],"spatio-temporal":[62],"signal,":[64],"use":[66],"new":[68,113,137],"deep":[70],"learning":[71],"network":[72,115],"architecture":[73,117],"TactNet-II":[74],"which":[75,120],"is":[76,82,118,160],"based":[77,116],"on":[78,135],"TactNet":[79],"[1]":[80],"significantly":[83,161],"extended":[84],"recently":[86],"described":[87],"architectural":[88],"enhancements":[89],"training":[91],"methods.":[92],"TactN":[93],"et-":[94],"Iireaches":[95],"an":[96,122],"accuracy":[97,123],"for":[98,167],"classification":[101],"task":[102],"as":[103,105,124,126],"95.0":[106],"%.":[107,128],"differentiation":[111],"Siamese":[114],"presented":[119],"reaches":[121],"95.4":[127],"All":[129],"results":[131],"have":[132],"been":[133],"achieved":[134],"dataset":[139],"36":[141],"everyday":[142],"household":[143],"materials.":[144],"thorough":[147],"experiment":[150],"15":[152],"subjects":[153],"lower":[162],"than":[163],"robot's":[165],"both":[168],"tasks.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
