{"id":"https://openalex.org/W4321063811","doi":"https://doi.org/10.1109/m2vip55626.2022.10041064","title":"Bending Actuation of Ferromagnetic Soft Continuum Robot under Spatially non-uniform Magnetic Fields","display_name":"Bending Actuation of Ferromagnetic Soft Continuum Robot under Spatially non-uniform Magnetic Fields","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W4321063811","doi":"https://doi.org/10.1109/m2vip55626.2022.10041064"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip55626.2022.10041064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip55626.2022.10041064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5064642257","display_name":"Lijun Hao","orcid":"https://orcid.org/0000-0001-8366-7705"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Hao","raw_affiliation_strings":["Jiaotong University,Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiaotong University,Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035106862","display_name":"Tangwen Yang","orcid":"https://orcid.org/0000-0001-8990-4011"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangwen Yang","raw_affiliation_strings":["Jiaotong University,Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiaotong University,Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.9783,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77062192,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9998999834060669,"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/T10868","display_name":"Soft Robotics and Applications","score":0.9998999834060669,"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/T11486","display_name":"Micro and Nano Robotics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11402","display_name":"Vascular Malformations Diagnosis and Treatment","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.6201744079589844},{"id":"https://openalex.org/keywords/magnet","display_name":"Magnet","score":0.5577942728996277},{"id":"https://openalex.org/keywords/bending","display_name":"Bending","score":0.5479604005813599},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5362457633018494},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.531855046749115},{"id":"https://openalex.org/keywords/ferromagnetism","display_name":"Ferromagnetism","score":0.5314760804176331},{"id":"https://openalex.org/keywords/magnetic-field","display_name":"Magnetic field","score":0.5282330513000488},{"id":"https://openalex.org/keywords/condensed-matter-physics","display_name":"Condensed matter physics","score":0.44900283217430115},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3904574513435364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3829961121082306},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.38176143169403076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23565110564231873},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.12008756399154663}],"concepts":[{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.6201744079589844},{"id":"https://openalex.org/C16389437","wikidata":"https://www.wikidata.org/wiki/Q11421","display_name":"Magnet","level":2,"score":0.5577942728996277},{"id":"https://openalex.org/C87210426","wikidata":"https://www.wikidata.org/wiki/Q1072476","display_name":"Bending","level":2,"score":0.5479604005813599},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5362457633018494},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.531855046749115},{"id":"https://openalex.org/C82217956","wikidata":"https://www.wikidata.org/wiki/Q184207","display_name":"Ferromagnetism","level":2,"score":0.5314760804176331},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.5282330513000488},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.44900283217430115},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3904574513435364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3829961121082306},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.38176143169403076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23565110564231873},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.12008756399154663},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip55626.2022.10041064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip55626.2022.10041064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1988000217","https://openalex.org/W2055573331","https://openalex.org/W2184993170","https://openalex.org/W2526011581","https://openalex.org/W2616247830","https://openalex.org/W2792695297","https://openalex.org/W2793966962","https://openalex.org/W2805926569","https://openalex.org/W2896049741","https://openalex.org/W2896050657","https://openalex.org/W2901833853","https://openalex.org/W2910061090","https://openalex.org/W2910658397","https://openalex.org/W2971278234","https://openalex.org/W2973098377","https://openalex.org/W3001194984","https://openalex.org/W3006571529","https://openalex.org/W3015147753","https://openalex.org/W3033268204","https://openalex.org/W3037121200","https://openalex.org/W3037426978","https://openalex.org/W3099274860","https://openalex.org/W3115655403","https://openalex.org/W3121181889","https://openalex.org/W3127291264","https://openalex.org/W3146419220","https://openalex.org/W3157424513","https://openalex.org/W3162127210","https://openalex.org/W3179976179","https://openalex.org/W3183444802","https://openalex.org/W3194935104","https://openalex.org/W3203304044","https://openalex.org/W3207643965","https://openalex.org/W4206109438","https://openalex.org/W4210242902"],"related_works":["https://openalex.org/W1992503747","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W2369529107","https://openalex.org/W2329043542","https://openalex.org/W2109948066","https://openalex.org/W1678858522","https://openalex.org/W3195090107","https://openalex.org/W38056103","https://openalex.org/W1999333556"],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1],"seriously":[2],"affects":[3],"the":[4,31,35,49,53,66,71,79,85,94,100,106,122],"health":[5],"and":[6,55,65,84,116],"life":[7],"quality":[8],"of":[9,21,70,93,105],"human":[10],"being":[11],"in":[12,34],"nowadays":[13],"society.":[14],"In":[15],"this":[16],"paper,":[17],"a":[18,56],"new":[19],"type":[20],"ferromagnetic":[22],"soft":[23],"continuum":[24],"robot":[25,54],"(FSCR)":[26],"is":[27,46,75,108,119],"devised":[28],"to":[29,38],"realize":[30],"flexible":[32],"maneuver":[33],"blood":[36],"vessel":[37],"treat":[39],"cardiovascular":[40],"disease.":[41],"Its":[42,73],"bending":[43,74],"actuation":[44],"performance":[45],"studied":[47],"under":[48],"various":[50],"distance":[51],"between":[52],"spherical":[57],"permanent":[58],"magnet,":[59],"which":[60],"generates":[61],"non-uniform":[62],"magnetic":[63],"field,":[64],"different":[67],"length-diameter":[68],"ratios":[69],"FSCR.":[72,123],"calculated":[76],"respectively":[77],"by":[78],"finite":[80,86],"difference":[81],"(FD)":[82],"method":[83,96],"element":[87],"(FE)":[88],"method.":[89,102],"The":[90,103],"simulation":[91],"results":[92],"FD":[95],"well":[97],"agree":[98],"with":[99],"FE":[101],"workspace":[104],"FSCR":[107],"analyzed":[109],"as":[110],"well.":[111],"Consequently,":[112],"an":[113],"optimal":[114],"design":[115],"control":[117],"scheme":[118],"established":[120],"for":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
