{"id":"https://openalex.org/W2754262186","doi":"https://doi.org/10.1109/icsens.2017.8234057","title":"Object classification using hybrid fiber optical force/proximity sensor","display_name":"Object classification using hybrid fiber optical force/proximity sensor","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2754262186","doi":"https://doi.org/10.1109/icsens.2017.8234057","mag":"2754262186"},"language":"en","primary_location":{"id":"doi:10.1109/icsens.2017.8234057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2017.8234057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SENSORS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10061096/1/Stilli_Konstantinov%20Object%20Classification%20Using%202017%20Accepted%28redacted%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057703756","display_name":"Jelizaveta Konstantinova","orcid":"https://orcid.org/0000-0002-4499-345X"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jelizaveta Konstantinova","raw_affiliation_strings":["Agostino Stilli School of Eng. & Materials Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Agostino Stilli School of Eng. & Materials Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045573404","display_name":"Giuseppe Cotugno","orcid":"https://orcid.org/0000-0002-1545-5513"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Giuseppe Cotugno","raw_affiliation_strings":["Agostino Stilli School of Eng. & Materials Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Agostino Stilli School of Eng. & Materials Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033887596","display_name":"Agostino Stilli","orcid":"https://orcid.org/0000-0002-4904-0500"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Agostino Stilli","raw_affiliation_strings":["Queen Mary University of London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, London, GB","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107963334","display_name":"Yohan Noh","orcid":"https://orcid.org/0000-0002-1103-6397"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yohan Noh","raw_affiliation_strings":["Faculty of Engineering Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042583278","display_name":"Kaspar Althoefer","orcid":"https://orcid.org/0000-0002-1141-9996"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kaspar Althoefer","raw_affiliation_strings":["Queen Mary University of London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, London, GB","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057703756"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.8156,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.74549338,"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":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9872000217437744,"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":0.9872000217437744,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.6425192356109619},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.5141973495483398},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44501224160194397},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.41432759165763855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39662790298461914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3725188076496124},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.18591153621673584},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15280890464782715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6425192356109619},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.5141973495483398},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44501224160194397},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.41432759165763855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39662790298461914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3725188076496124},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.18591153621673584},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15280890464782715},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icsens.2017.8234057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2017.8234057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SENSORS","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10061096","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10061096/","pdf_url":"https://discovery.ucl.ac.uk/10061096/1/Stilli_Konstantinov%20Object%20Classification%20Using%202017%20Accepted%28redacted%29.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of 16th IEEE Sensors 2017.  (pp. pp. 543-545).  IEEE: Glasgow, UK. (2017)     ","raw_type":"Proceedings paper"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/25316","is_oa":false,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/25316","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"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 Proceeding"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10061096","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10061096/","pdf_url":"https://discovery.ucl.ac.uk/10061096/1/Stilli_Konstantinov%20Object%20Classification%20Using%202017%20Accepted%28redacted%29.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of 16th IEEE Sensors 2017.  (pp. pp. 543-545).  IEEE: Glasgow, UK. (2017)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2754262186.pdf","grobid_xml":"https://content.openalex.org/works/W2754262186.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1527127121","https://openalex.org/W2032745455","https://openalex.org/W2041437888","https://openalex.org/W2218213558","https://openalex.org/W2272637408","https://openalex.org/W2328191957","https://openalex.org/W2514103357","https://openalex.org/W2565540283"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Intelligent":[0],"perception":[1,50],"to":[2,36,52,79,93,101,116],"determine":[3],"the":[4,11,20,54,81,118,124,138],"physical":[5,55],"interaction":[6,56],"between":[7,83,103],"robotic":[8],"hands":[9],"and":[10,22,30,38,41,66,86,96,105,127,140],"environment":[12],"is":[13,34,69,114],"a":[14,47,109,146],"topic":[15],"of":[16,62,137,148],"great":[17],"interest":[18],"for":[19],"sensing":[21,60],"robotics":[23],"communities.":[24],"Sensor":[25],"information":[26],"on":[27,71,123,145],"object":[28,32,87],"stiffness":[29,121],"associated":[31],"deformation":[33],"essential":[35],"plan":[37],"execute":[39],"stable":[40],"tight":[42],"grasps.":[43],"This":[44],"paper":[45],"proposes":[46],"novel":[48],"robot-finger-integrated":[49],"sensor":[51,68],"estimate":[53],"with":[57,151],"objects.":[58],"The":[59,130],"principle":[61],"our":[63],"combined":[64],"force":[65,126],"proximity":[67,82,128],"based":[70,122],"light":[72],"intensity":[73],"modulation,":[74],"involving":[75],"fiber":[76],"optics":[77],"technology":[78],"measure":[80],"robot":[84],"fingers":[85],"during":[88],"approach":[89],"as":[90,92],"well":[91],"detect":[94],"normal":[95],"lateral":[97],"forces.":[98],"In":[99],"order":[100],"distinguish":[102],"hard":[104],"soft":[106],"(deformable)":[107],"objects":[108,139,150],"Support":[110],"Vector":[111],"Machine":[112],"(SVM)":[113],"employed":[115],"classify":[117],"handled":[119],"object's":[120],"measured":[125],"data.":[129],"classifier":[131],"does":[132],"not":[133],"require":[134],"prior":[135],"knowledge":[136],"achieves":[141],"87%":[142],"classification":[143],"accuracy":[144],"set":[147],"household":[149],"different":[152],"mechanical":[153],"characteristics.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}