{"id":"https://openalex.org/W7125897070","doi":"https://doi.org/10.1109/smc58881.2025.11342999","title":"Collaborative Indoor Positioning: A Machine Learning Approach for Dynamic Environments with Autonomous Mobile Robots","display_name":"Collaborative Indoor Positioning: A Machine Learning Approach for Dynamic Environments with Autonomous Mobile Robots","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125897070","doi":"https://doi.org/10.1109/smc58881.2025.11342999"},"language":"en","primary_location":{"id":"doi:10.1109/smc58881.2025.11342999","doi":"https://doi.org/10.1109/smc58881.2025.11342999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342999","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5013443562","display_name":"Azin Moradbeikie","orcid":"https://orcid.org/0000-0002-6374-7780","observed_orcids":["https://orcid.org/0000-0002-6374-7780"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azin Moradbeikie","raw_affiliation_strings":["CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116672951","display_name":"Ivan Amorim","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Amorim","raw_affiliation_strings":["CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013457248","display_name":"Rolando Azevedo","orcid":"https://orcid.org/0000-0001-7860-0039","observed_orcids":["https://orcid.org/0000-0001-7860-0039"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rolando Azevedo","raw_affiliation_strings":["CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073885401","display_name":"Cristiano Jesus","orcid":"https://orcid.org/0000-0002-3620-2830","observed_orcids":["https://orcid.org/0000-0002-3620-2830"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cristiano Jesus","raw_affiliation_strings":["CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116186652","display_name":"David Beserra","orcid":"https://orcid.org/0000-0002-0830-176X","observed_orcids":["https://orcid.org/0000-0002-0830-176X"]},"institutions":[{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Beserra","raw_affiliation_strings":["\u00c9cole Pour l\u2019Informatique et les Techniques Avanc\u00e9es (EPITA),Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Pour l\u2019Informatique et les Techniques Avanc\u00e9es (EPITA),Paris,France","institution_ids":["https://openalex.org/I4210138808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121777567","display_name":"S\u00e9rgio Ivan Lopes","orcid":"https://orcid.org/0000-0001-6944-7757","observed_orcids":["https://orcid.org/0000-0001-6944-7757"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S\u00e9rgio Ivan Lopes","raw_affiliation_strings":["CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CiTin - Centro de Interface Tecnol\u00f3gico Industrial,Portugal,4970-786","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6000","last_page":"6005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/indoor-positioning","display_name":"indoor positioning","score":0.9129999876022339},{"id":"https://openalex.org/keywords/bluetooth-low-energy","display_name":"Bluetooth Low Energy","score":0.7350000143051147},{"id":"https://openalex.org/keywords/received-signal-strength-indicator","display_name":"received signal strength indicator","score":0.7540000081062317},{"id":"https://openalex.org/keywords/autonomous-mobile-robots","display_name":"autonomous mobile robots","score":0.9319999814033508},{"id":"https://openalex.org/keywords/cooperative-localization","display_name":"cooperative localization","score":0.800000011920929},{"id":"https://openalex.org/keywords/dynamic-environments","display_name":"dynamic environments","score":0.5699999928474426},{"id":"https://openalex.org/keywords/path-loss","display_name":"path loss","score":0.5699999928474426},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.578000009059906},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"kernel density estimation","score":1.0},{"id":"https://openalex.org/keywords/data-fusion","display_name":"data fusion","score":0.6800000071525574},{"id":"https://openalex.org/keywords/industrial-environments","display_name":"industrial environments","score":0.597000002861023},{"id":"https://openalex.org/keywords/packet-loss","display_name":"packet loss","score":0.6309999823570251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564000248908997},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5210999846458435},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5085999965667725},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.5069000124931335},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4715999960899353},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45669999718666077},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.42340001463890076},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.4171000123023987},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.4058000147342682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3671000003814697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3479999899864197},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3409000039100647},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C76763059","wikidata":"https://www.wikidata.org/wiki/Q251072","display_name":"Machine to machine","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.25369998812675476},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342999","doi":"https://doi.org/10.1109/smc58881.2025.11342999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342999","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307930","display_name":"Interface","ror":"https://ror.org/04nvtmr42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2806729898","https://openalex.org/W2902468342","https://openalex.org/W2964029185","https://openalex.org/W2976566279","https://openalex.org/W2981096252","https://openalex.org/W3002159761","https://openalex.org/W3008702594","https://openalex.org/W3021789920","https://openalex.org/W3047491762","https://openalex.org/W3111367006","https://openalex.org/W3126380805","https://openalex.org/W3137677720","https://openalex.org/W3161228823","https://openalex.org/W3207468962","https://openalex.org/W3213196608","https://openalex.org/W4205609030","https://openalex.org/W4210659589","https://openalex.org/W4294811324","https://openalex.org/W4307112002","https://openalex.org/W4323519381","https://openalex.org/W4385974981","https://openalex.org/W4388570912","https://openalex.org/W4399375692","https://openalex.org/W4409310776"],"related_works":["https://openalex.org/W7125995122","https://openalex.org/W4312366912","https://openalex.org/W3020407324","https://openalex.org/W4413180273","https://openalex.org/W7127646110","https://openalex.org/W7163920654","https://openalex.org/W7127650524","https://openalex.org/W1654716554","https://openalex.org/W7083703884","https://openalex.org/W4409744844"],"abstract_inverted_index":{"Current":[0],"indoor":[1,85],"positioning":[2,49,86,110],"technologies":[3],"face":[4],"significant":[5],"limitations":[6],"in":[7,41,164],"dynamic":[8,42,179],"industrial":[9,158,180],"environments,":[10],"where":[11],"metallic":[12],"structures":[13],"and":[14,29,74,111,117,148],"signal":[15],"interference":[16],"degrade":[17],"accuracy.":[18],"While":[19],"Bluetooth":[20],"Low":[21],"Energy":[22],"(BLE)":[23],"RSSI-based":[24,48],"systems":[25],"offer":[26],"a":[27,82,140,156,161,183],"cost-effective":[28],"energy-efficient":[30],"solution,":[31],"their":[32],"performance":[33],"is":[34],"often":[35],"hampered":[36],"by":[37,131],"path":[38],"loss":[39,186],"variability":[40],"environments.":[43],"Usually,":[44],"to":[45,70,114,168],"improve":[46],"BLE":[47,112,170],"accuracy,":[50],"the":[51,62,123],"number":[52,63,175],"of":[53,64,176],"infrastructure":[54,66,95],"nodes":[55,67,96],"(IN)":[56],"may":[57],"be":[58],"increased.":[59],"However,":[60],"increasing":[61],"static":[65,100,169],"(SIN)":[68],"leads":[69],"increased":[71],"complexity,":[72],"cost,":[73],"network":[75],"load.To":[76],"address":[77],"these":[78],"challenges,":[79],"we":[80],"propose":[81],"novel":[83],"collaborative":[84],"method":[87,154],"integrating":[88],"autonomous":[89],"mobile":[90,94],"robots":[91],"(AMRs)":[92],"as":[93],"(MINs).":[97],"Unlike":[98],"traditional":[99],"deployments,":[101],"our":[102,153],"system":[103],"leverages":[104],"AMRs":[105],"equipped":[106],"with":[107,135,172,182],"high-accuracy":[108],"onboard":[109],"receivers":[113],"dynamically":[115],"collect":[116],"correlate":[118],"RSSI":[119],"data":[120,134],"while":[121],"navigating":[122],"environment.":[124],"This":[125],"approach":[126],"enables":[127],"real-time":[128],"adaptive":[129],"localization":[130,165],"fusing":[132],"MIN":[133],"fixed":[136],"SIN":[137],"measurements":[138],"using":[139],"machine":[141],"learning-based":[142],"fusion":[143],"model":[144],"(combining":[145],"Neural":[146],"Networks":[147],"Kernel":[149],"Density":[150],"Estimation).We":[151],"validate":[152],"through":[155],"real-world":[157],"testbed,":[159],"demonstrating":[160],"27%":[162],"improvement":[163],"accuracy":[166],"compared":[167],"systems,":[171],"an":[173],"equal":[174],"equipment":[177],"within":[178],"landscapes":[181],"high":[184],"packet":[185],"rate..":[187]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-01-29T00:00:00"}
