{"id":"https://openalex.org/W2160496549","doi":"https://doi.org/10.1109/iros.2012.6385748","title":"Combining classification and regression for WiFi localization of heterogeneous robot teams in unknown environments","display_name":"Combining classification and regression for WiFi localization of heterogeneous robot teams in unknown environments","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2160496549","doi":"https://doi.org/10.1109/iros.2012.6385748","mag":"2160496549"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2012.6385748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5110070385","display_name":"Benjamin Balaguer","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin Balaguer","raw_affiliation_strings":["School of Engineering, University of California, Merced, CA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041320553","display_name":"Gorkem Erinc","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gorkem Erinc","raw_affiliation_strings":["School of Engineering, University of California, Merced, CA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081177797","display_name":"Stefano Carpin","orcid":"https://orcid.org/0000-0003-3837-7463"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Carpin","raw_affiliation_strings":["School of Engineering, University of California, Merced, CA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110070385"],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":1.2483,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82647169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"3496","last_page":"3503"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.8143145442008972},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7308577299118042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276453971862793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5866186022758484},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5023550987243652},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.47416913509368896},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4602900743484497},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.45405346155166626},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4470323920249939},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.4278866946697235},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41079115867614746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40915971994400024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3567468822002411},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13558632135391235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09220975637435913}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8143145442008972},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7308577299118042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276453971862793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5866186022758484},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5023550987243652},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.47416913509368896},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4602900743484497},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.45405346155166626},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4470323920249939},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.4278866946697235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41079115867614746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40915971994400024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3567468822002411},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13558632135391235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09220975637435913},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2012.6385748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.654.5744","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.5744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://robotics.ucmerced.edu/sites/robotics.ucmerced.edu/files/page/documents/iros2012a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W949293872","https://openalex.org/W2009463128","https://openalex.org/W2076367606","https://openalex.org/W2105061875","https://openalex.org/W2106832695","https://openalex.org/W2111336388","https://openalex.org/W2127600800","https://openalex.org/W2130422193","https://openalex.org/W2130957354","https://openalex.org/W2140772441","https://openalex.org/W2147718585","https://openalex.org/W2166221222","https://openalex.org/W2170102584","https://openalex.org/W2171990308","https://openalex.org/W2172093358","https://openalex.org/W2179526404","https://openalex.org/W2330820318","https://openalex.org/W2336416123","https://openalex.org/W2488678869","https://openalex.org/W2563682321","https://openalex.org/W2911964244","https://openalex.org/W6669816948","https://openalex.org/W6675890245","https://openalex.org/W6679216312","https://openalex.org/W6679626183"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282","https://openalex.org/W2954004777","https://openalex.org/W2949638731","https://openalex.org/W2951102138","https://openalex.org/W2402852349"],"abstract_inverted_index":{"We":[0,22],"consider":[1],"the":[2,31,64,116,151,157],"problem":[3],"of":[4,66,115,132,143,156],"team-based":[5],"robot":[6,75,83,123],"mapping":[7],"and":[8,24,37,94,118,147,154],"localization":[9,91],"using":[10,101],"wireless":[11],"signals":[12],"broadcast":[13],"from":[14,72],"access":[15,32],"points":[16],"embedded":[17],"in":[18,26,70,122],"today's":[19],"urban":[20],"environments.":[21],"map":[23,69],"localize":[25],"an":[27,51],"unknown":[28],"environment,":[29],"where":[30],"points'":[33],"locations":[34],"are":[35,145],"unspecified":[36],"for":[38],"which":[39],"training":[40],"data":[41],"is":[42,48],"a":[43,68,73,109],"priori":[44],"unavailable.":[45],"Our":[46],"approach":[47],"based":[49],"on":[50,130],"heterogeneous":[52],"method":[53],"combining":[54],"robots":[55],"with":[56],"different":[57],"sensor":[58],"payloads.":[59],"The":[60],"algorithmic":[61],"design":[62],"assumes":[63],"ability":[65],"producing":[67],"real-time":[71],"sensor-full":[74],"that":[76,97],"can":[77],"quickly":[78],"be":[79],"shared":[80],"by":[81,125],"sensor-deprived":[82],"team":[84],"members.":[85],"More":[86],"specifically,":[87],"we":[88,98,112],"cast":[89],"WiFi":[90],"as":[92],"classification":[93],"regression":[95,134],"problems":[96],"subsequently":[99],"solve":[100],"machine":[102],"learning":[103],"techniques.":[104],"In":[105],"order":[106],"to":[107,149],"produce":[108],"robust":[110],"system,":[111],"take":[113],"advantage":[114],"spatial":[117],"temporal":[119],"information":[120],"inherent":[121],"motion":[124],"running":[126],"Monte":[127],"Carlo":[128],"Localization":[129],"top":[131],"our":[133],"algorithm,":[135],"greatly":[136],"improving":[137],"its":[138],"effectiveness.":[139],"A":[140],"significant":[141],"amount":[142],"experiments":[144],"performed":[146],"presented":[148],"prove":[150],"accuracy,":[152],"effectiveness,":[153],"practicality":[155],"algorithm.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}