{"id":"https://openalex.org/W4416749917","doi":"https://doi.org/10.1109/iros60139.2025.11247467","title":"Exploratory Movement Strategies for Texture Discrimination with a Neuromorphic Tactile Sensor","display_name":"Exploratory Movement Strategies for Texture Discrimination with a Neuromorphic Tactile Sensor","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416749917","doi":"https://doi.org/10.1109/iros60139.2025.11247467"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5063797331","display_name":"X. X. Xu","orcid":"https://orcid.org/0009-0004-9643-8951"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xingchen Xu","raw_affiliation_strings":["University of Bristol,School of Engineering Mathematics and Technology,Bristol,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Engineering Mathematics and Technology,Bristol,U.K","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066281864","display_name":"Ao Li","orcid":"https://orcid.org/0009-0002-9084-6116"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ao Li","raw_affiliation_strings":["University of Bristol,School of Engineering Mathematics and Technology,Bristol,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Engineering Mathematics and Technology,Bristol,U.K","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008451819","display_name":"Benjamin Ward-Cherrier","orcid":"https://orcid.org/0000-0001-9614-7004"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Benjamin Ward-Cherrier","raw_affiliation_strings":["University of Bristol,School of Engineering Mathematics and Technology,Bristol,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Engineering Mathematics and Technology,Bristol,U.K","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":0.4629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6814961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"17869","last_page":"17874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.7730000019073486,"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"}},"topics":[{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.7730000019073486,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.06769999861717224,"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"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.032600000500679016,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9343000054359436},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.618399977684021},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.5612999796867371},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4778999984264374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43849998712539673},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.37439998984336853},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.36010000109672546},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.33980000019073486}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9343000054359436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7530999779701233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.65420001745224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517000198364258},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.618399977684021},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.5612999796867371},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.36010000109672546},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.33500000834465027},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1969299770","https://openalex.org/W2034838127","https://openalex.org/W2046572219","https://openalex.org/W2061986062","https://openalex.org/W2067454831","https://openalex.org/W2068762283","https://openalex.org/W2080317558","https://openalex.org/W2171130677","https://openalex.org/W2460702140","https://openalex.org/W2516853297","https://openalex.org/W2528124744","https://openalex.org/W2775635818","https://openalex.org/W2794061657","https://openalex.org/W2904378708","https://openalex.org/W2922456649","https://openalex.org/W2951453290","https://openalex.org/W2955691601","https://openalex.org/W2967540821","https://openalex.org/W2974328520","https://openalex.org/W2976428661","https://openalex.org/W3083311324","https://openalex.org/W3112606007","https://openalex.org/W3167659502","https://openalex.org/W3188633514","https://openalex.org/W3194630958","https://openalex.org/W4214734943","https://openalex.org/W4225374811","https://openalex.org/W4252177133","https://openalex.org/W4283021856","https://openalex.org/W4285295841","https://openalex.org/W4308937689","https://openalex.org/W4399299380","https://openalex.org/W4400643993","https://openalex.org/W4401416804","https://openalex.org/W4409233638"],"related_works":[],"abstract_inverted_index":{"We":[0,35,60],"propose":[1],"a":[2,30],"neuromorphic":[3,26,142],"tactile":[4,27,143],"sensing":[5,144],"frame-work":[6],"for":[7,41,141,154],"robotic":[8,156],"texture":[9,42,147],"classification":[10,43,148],"that":[11,132],"is":[12,136],"inspired":[13],"by":[14],"human":[15],"exploratory":[16,33,139],"strategies.":[17],"Our":[18],"system":[19],"utilizes":[20],"the":[21,53,66,74,84,111,133,137],"NeuroTac":[22],"sensor":[23],"to":[24,79,88],"capture":[25],"data":[28],"during":[29],"series":[31],"of":[32,114,125],"motions.":[34],"first":[36],"tested":[37],"six":[38],"distinct":[39],"motions":[40,68,95],"under":[44,99],"fixed":[45],"environment:":[46],"sliding,":[47],"rotating,":[48],"tapping,":[49],"as":[50,52,65],"well":[51],"combined":[54],"motions:":[55],"sliding+rotating,":[56],"tapping+rotating,":[57],"and":[58,63,73,103,150],"tapping+sliding.":[59],"chose":[61],"sliding":[62],"sliding+rotating":[64,117,134],"best":[67],"based":[69],"on":[70],"final":[71],"accuracy":[72,113],"sample":[75],"timing":[76],"length":[77],"needed":[78],"reach":[80],"converged":[81],"accuracy.":[82],"In":[83],"second":[85],"experiment":[86],"designed":[87],"simulate":[89],"complex":[90],"real-world":[91],"conditions,":[92,107],"these":[93,106],"two":[94],"were":[96],"further":[97],"evaluated":[98],"varying":[100],"contact":[101],"depth":[102],"speeds.":[104],"Under":[105],"our":[108],"framework":[109],"attained":[110],"highest":[112],"87.33%":[115],"with":[116],"while":[118],"maintaining":[119],"an":[120],"extremely":[121],"low":[122],"power":[123],"consumption":[124],"only":[126],"8.04":[127],"mW.":[128],"These":[129],"results":[130],"suggest":[131],"motion":[135],"optimal":[138],"strategy":[140],"deployment":[145],"in":[146],"tasks":[149],"holds":[151],"significant":[152],"promise":[153],"enhancing":[155],"environmental":[157],"interaction.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-11-28T00:00:00"}
