{"id":"https://openalex.org/W4415398850","doi":"https://doi.org/10.1109/icdl63968.2025.11204406","title":"Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors","display_name":"Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4415398850","doi":"https://doi.org/10.1109/icdl63968.2025.11204406"},"language":null,"primary_location":{"id":"doi:10.1109/icdl63968.2025.11204406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdl63968.2025.11204406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Development and Learning (ICDL)","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/A5079886576","display_name":"Z. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ziteng Li","raw_affiliation_strings":["Leibniz Universit&#x00E4;t Hannover,L3S Research Center,Hanover,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit&#x00E4;t Hannover,L3S Research Center,Hanover,Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Malte Kuhlmann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Malte Kuhlmann","raw_affiliation_strings":["Leibniz Universit&#x00E4;t Hannover,L3S Research Center,Hanover,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit&#x00E4;t Hannover,L3S Research Center,Hanover,Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080865180","display_name":"Ilana Nisky","orcid":"https://orcid.org/0000-0003-4128-9771"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ilana Nisky","raw_affiliation_strings":["Ben-Gurion University of the Negev,School of Brain Sciences,Department of Biomedical Engineering,Beer Sheva,Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,School of Brain Sciences,Department of Biomedical Engineering,Beer Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040711005","display_name":"Nicol\u00e1s Navarro-Guerrero","orcid":"https://orcid.org/0000-0003-1164-5579"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicol\u00e1s Navarro-Guerrero","raw_affiliation_strings":["Leibniz Universit&#x00E4;t Hannover,L3S Research Center,Hanover,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit&#x00E4;t Hannover,L3S Research Center,Hanover,Germany","institution_ids":["https://openalex.org/I4210136150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4734416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8651000261306763,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8651000261306763,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/software-portability","display_name":"Software portability","score":0.6299999952316284},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5649999976158142},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3767000138759613},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3720000088214874},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.36390000581741333},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.34130001068115234},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3303999900817871}],"concepts":[{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.6299999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996999740600586},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5649999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540000200271606},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3720000088214874},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33070001006126404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.31459999084472656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.27480000257492065},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdl63968.2025.11204406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdl63968.2025.11204406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Development and Learning (ICDL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320882","display_name":"Volkswagen Foundation","ror":"https://ror.org/03bsmfz84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Compliance":[0],"is":[1],"a":[2],"critical":[3],"parameter":[4],"for":[5,36],"describing":[6],"objects":[7,133],"in":[8,104],"engineering,":[9],"agriculture,":[10],"and":[11,25,33,68,76,100,126],"biomedical":[12],"applications.":[13,38],"Traditional":[14],"compliance":[15,87,125,128],"detection":[16],"methods":[17],"are":[18,34,135,140],"limited":[19],"by":[20,80],"their":[21,102],"lack":[22],"of":[23,94],"portability":[24],"scalability,":[26],"rely":[27],"on":[28,62],"specialized,":[29],"often":[30],"expensive":[31],"equipment,":[32],"unsuitable":[35],"robotic":[37],"Moreover,":[39],"existing":[40],"neural":[41],"network-based":[42],"approaches":[43],"using":[44,97],"vision-based":[45,82],"tactile":[46,74],"sensors":[47],"still":[48],"suffer":[49],"from":[50],"insufficient":[51],"prediction":[52],"accuracy.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,119],"propose":[58],"two":[59],"models":[60,96,110],"based":[61],"Long-term":[63],"Recurrent":[64],"Convolutional":[65],"Networks":[66],"(LRCNs)":[67],"Transformer":[69],"architectures":[70],"that":[71,132,134],"leverage":[72],"RGB":[73],"images":[75],"other":[77],"information":[78],"captured":[79],"the":[81,92,116,121,138],"sensor":[83,124,139],"GelSight":[84],"to":[85,143],"predict":[86],"metrics":[88,99],"accurately.":[89],"We":[90],"validate":[91],"performance":[93,113],"these":[95],"multiple":[98],"demonstrate":[101],"effectiveness":[103],"accurately":[105],"estimating":[106],"compliance.":[107],"The":[108],"proposed":[109],"exhibit":[111],"significant":[112],"improvement":[114],"over":[115],"baseline.":[117],"Additionally,":[118],"investigated":[120],"correlation":[122],"between":[123],"object":[127],"estimation,":[129],"which":[130],"revealed":[131],"harder":[136],"than":[137],"more":[141],"challenging":[142],"estimate.":[144]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-22T00:00:00"}
