{"id":"https://openalex.org/W4413945480","doi":"https://doi.org/10.1109/icra55743.2025.11128719","title":"Exploring the Domain-Invariant Flow Representation in Vision-Based Tactile Sensors for Omni-Hardness Perception","display_name":"Exploring the Domain-Invariant Flow Representation in Vision-Based Tactile Sensors for Omni-Hardness Perception","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413945480","doi":"https://doi.org/10.1109/icra55743.2025.11128719"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11128719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128719","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 Robotics and Automation (ICRA)","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/A5103046081","display_name":"Xuewen Yang","orcid":"https://orcid.org/0000-0001-7881-5144"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Yang","raw_affiliation_strings":["the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332791","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0003-2297-0000"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101296876","display_name":"Jiayang Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayang Gu","raw_affiliation_strings":["the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072899735","display_name":"Yugang Zhang","orcid":"https://orcid.org/0000-0001-5358-9283"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugang Zhang","raw_affiliation_strings":["the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966200","display_name":"Guoyu Wang","orcid":"https://orcid.org/0000-0003-2472-5519"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Wang","raw_affiliation_strings":["the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Electronic Engineering, Ocean University of China,Qingdao,China,266100","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048327458","display_name":"Aiguo Song","orcid":"https://orcid.org/0000-0002-1982-6780"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Aiguo Song","raw_affiliation_strings":["the School of Instrument Science and Engineering, Southeast University,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"the School of Instrument Science and Engineering, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4210090971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"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":0.20188887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14770","last_page":"14776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.8942000269889832,"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":0.8942000269889832,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8460000157356262,"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"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.8409000039100647,"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-vision","display_name":"Computer vision","score":0.6522468328475952},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6455625295639038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899175405502319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5744420886039734},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5283499360084534},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5183876156806946},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.44357287883758545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23326411843299866},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1755322515964508},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10901108384132385},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05894520878791809}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6522468328475952},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6455625295639038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899175405502319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5744420886039734},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5283499360084534},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5183876156806946},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.44357287883758545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23326411843299866},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1755322515964508},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10901108384132385},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05894520878791809},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11128719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128719","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 Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2607241646","https://openalex.org/W2775635818","https://openalex.org/W2962688712","https://openalex.org/W3008303301","https://openalex.org/W3112665924","https://openalex.org/W3138117074","https://openalex.org/W4200633542","https://openalex.org/W4285102493","https://openalex.org/W4291652747","https://openalex.org/W4386070509","https://openalex.org/W4388755219","https://openalex.org/W4401414358","https://openalex.org/W4401415072","https://openalex.org/W4401415354","https://openalex.org/W4401415359","https://openalex.org/W4401415913","https://openalex.org/W4401416281","https://openalex.org/W4401416553","https://openalex.org/W4401417035","https://openalex.org/W4401417377","https://openalex.org/W4401417392","https://openalex.org/W4401724693","https://openalex.org/W4402354011","https://openalex.org/W4402726993","https://openalex.org/W4410552044"],"related_works":["https://openalex.org/W2023355163","https://openalex.org/W4386083130","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2117442182","https://openalex.org/W2081707527","https://openalex.org/W1975907365","https://openalex.org/W2628861693","https://openalex.org/W3125517176","https://openalex.org/W2062195135"],"abstract_inverted_index":{"Vision-based":[0],"tactile":[1,41,48,87,161,165],"sensors":[2,22,126],"have":[3],"recently":[4],"gained":[5],"prominence":[6],"due":[7],"to":[8,14,34,62,69,115,148],"their":[9],"superior":[10],"resolution":[11],"and":[12,65,108,142,163],"ability":[13],"capture":[15],"multi-dimensional":[16],"contact":[17],"information.":[18],"However,":[19],"even":[20],"when":[21],"share":[23],"the":[24,37,93,96,104,109,128,150],"same":[25],"sensing":[26,162],"principle,":[27],"variations":[28],"in":[29,36,55,136],"production":[30],"factors":[31,94],"can":[32],"lead":[33],"differences":[35],"color":[38],"patterns":[39],"of":[40,92,98,119,130],"signals.":[42],"Unlike":[43],"common":[44],"vision":[45],"tasks,":[46],"vision-based":[47,86],"perception":[49,79,100],"depends":[50],"on":[51],"tracking":[52],"light":[53,105],"variation":[54],"colorful":[56],"signals,":[57],"making":[58],"it":[59],"more":[60,67],"susceptible":[61],"lighting":[63],"conditions":[64],"thus":[66],"prone":[68],"domain":[70],"gaps.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"an":[77],"Omni-hardness":[78],"framework":[80],"that":[81],"enables":[82],"adaptation":[83],"across":[84,124],"various":[85],"sensors.":[88],"Firstly,":[89],"in-depth":[90],"analyses":[91],"influencing":[95],"generalization":[97],"hardness":[99],"are":[101,113,146],"presented.":[102],"Furthermore,":[103],"balance":[106],"module":[107,112],"force":[110],"scale":[111],"coupled":[114],"regulate":[116],"network":[117],"learning":[118],"generalized":[120],"representations.":[121,132],"Experimental":[122],"results":[123],"multiple":[125],"demonstrate":[127],"transferability":[129],"learned":[131],"Additionally,":[133],"downstream":[134],"tasks":[135],"natural":[137],"object":[138],"perception,":[139],"tumor":[140],"detection,":[141],"grasping":[143],"stability":[144],"prediction,":[145],"proposed":[147],"evaluate":[149],"potential":[151],"applications.":[152],"The":[153],"framework's":[154],"performance":[155],"shows":[156],"promise":[157],"for":[158],"advancing":[159],"general":[160],"embodied":[164],"perception.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
