{"id":"https://openalex.org/W7130336926","doi":"https://doi.org/10.1109/tencon66050.2025.11375012","title":"Impact Study of Faulty Sensors on Flocking-Based Cooperative Control of Nonholonomic Robots","display_name":"Impact Study of Faulty Sensors on Flocking-Based Cooperative Control of Nonholonomic Robots","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7130336926","doi":"https://doi.org/10.1109/tencon66050.2025.11375012"},"language":null,"primary_location":{"id":"doi:10.1109/tencon66050.2025.11375012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","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/A5001962918","display_name":"Lamia Iftekhar","orcid":"https://orcid.org/0000-0002-5239-5767"},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Lamia Iftekhar","raw_affiliation_strings":["North South University,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001962918"],"corresponding_institution_ids":["https://openalex.org/I157386601"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65615482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.00139999995008111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flocking","display_name":"Flocking (texture)","score":0.8950999975204468},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6407999992370605},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4507000148296356},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4296000003814697},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4293999969959259},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.41339999437332153},{"id":"https://openalex.org/keywords/nonholonomic-system","display_name":"Nonholonomic system","score":0.4050999879837036},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.39969998598098755}],"concepts":[{"id":"https://openalex.org/C2781220375","wikidata":"https://www.wikidata.org/wiki/Q814208","display_name":"Flocking (texture)","level":2,"score":0.8950999975204468},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6407999992370605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037999987602234},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4507000148296356},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C138632511","wikidata":"https://www.wikidata.org/wiki/Q2478109","display_name":"Nonholonomic system","level":4,"score":0.4050999879837036},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29249998927116394},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C41325743","wikidata":"https://www.wikidata.org/wiki/Q1261040","display_name":"Pressure sensor","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26899999380111694},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.25279998779296875},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon66050.2025.11375012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","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":11,"referenced_works":["https://openalex.org/W2105850748","https://openalex.org/W2141017267","https://openalex.org/W2395058799","https://openalex.org/W2547576489","https://openalex.org/W2810946555","https://openalex.org/W3120726845","https://openalex.org/W4234406933","https://openalex.org/W4292604000","https://openalex.org/W4323568099","https://openalex.org/W4406414263","https://openalex.org/W4411173744"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,58],"investigate":[4],"the":[5,85,105,113,177,188],"effects":[6],"of":[7,14,101,107,115,163,179],"faulty":[8,63,110,147],"internal":[9],"sensors":[10,64,111],"on":[11],"a":[12,18,95,99],"group":[13],"non-holonomic":[15],"robots":[16,61,108],"implementing":[17],"well-established":[19],"flocking":[20,23],"algorithm.":[21],"The":[22],"algorithm":[24],"has":[25],"long":[26],"been":[27],"proven":[28],"to":[29,77,88,140,151,168],"have":[30],"robust":[31,181],"and":[32,112,172,182],"scalable":[33],"performance":[34,143],"for":[35,47,156],"agents":[36,72],"with":[37,62,109],"nonholonomic":[38],"constraints,":[39],"but":[40],"it":[41],"traditionally":[42],"assumed":[43],"perfect":[44],"state":[45],"information":[46,87],"all":[48],"agents.":[49],"To":[50],"evaluate":[51],"its":[52],"resilience":[53],"in":[54,82],"more":[55,180],"realistic":[56],"scenarios,":[57,102],"systematically":[59],"introduce":[60],"that":[65,174],"incorrectly":[66],"measure":[67],"their":[68,74,78,90],"own":[69],"states.":[70],"These":[71],"broadcast":[73],"erroneous":[75],"states":[76],"neighboring":[79],"agents,":[80],"who":[81],"turn":[83],"use":[84],"compromised":[86],"develop":[89],"control":[91],"input.":[92],"We":[93,149],"conduct":[94],"comprehensive":[96],"analysis":[97],"across":[98],"spectrum":[100],"varying":[103],"both":[104],"density":[106],"intensity":[114],"sensor":[116],"errors.":[117],"Qualitative":[118],"insights":[119],"obtained":[120],"through":[121,159],"individual":[122],"simulation":[123],"runs":[124],"as":[125,127],"well":[126],"aggregate":[128],"quantitative":[129],"results":[130,171],"are":[131,138],"discussed.":[132],"Four":[133],"carefully":[134],"chosen":[135],"evaluation":[136],"metrics":[137],"used":[139],"quickly":[141],"assess":[142],"degradation":[144],"caused":[145],"by":[146,186],"sensors.":[148],"sought":[150],"identify":[152],"critical":[153],"failure":[154,190],"points":[155],"common":[157],"scenarios":[158],"two":[160],"distinct":[161],"sets":[162],"experiments.":[164],"Our":[165],"goal":[166],"is":[167],"provide":[169],"empirical":[170],"discussions":[173],"can":[175],"inspire":[176],"design":[178],"cost-effective":[183],"controllers,":[184],"specifically":[185],"targeting":[187],"primary":[189],"mechanisms":[191],"identified.":[192]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-19T00:00:00"}