{"id":"https://openalex.org/W1976987259","doi":"https://doi.org/10.1109/iros.2013.6696840","title":"Mobile robot connectivity maintenance based on RF mapping","display_name":"Mobile robot connectivity maintenance based on RF mapping","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W1976987259","doi":"https://doi.org/10.1109/iros.2013.6696840","mag":"1976987259"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2013.6696840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6696840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5078419323","display_name":"Mustafa Ayad","orcid":"https://orcid.org/0000-0002-5105-5824"},"institutions":[{"id":"https://openalex.org/I131651094","display_name":"University of Denver","ror":"https://ror.org/04w7skc03","country_code":"US","type":"education","lineage":["https://openalex.org/I131651094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Ayad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA","institution_ids":["https://openalex.org/I131651094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007781850","display_name":"Jun Jason Zhang","orcid":"https://orcid.org/0000-0001-6908-2671"},"institutions":[{"id":"https://openalex.org/I131651094","display_name":"University of Denver","ror":"https://ror.org/04w7skc03","country_code":"US","type":"education","lineage":["https://openalex.org/I131651094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Jason Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA","institution_ids":["https://openalex.org/I131651094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013960389","display_name":"Richard M. Voyles","orcid":"https://orcid.org/0000-0002-1871-9887"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Voyles","raw_affiliation_strings":["College of Technology, Purdue University, West Lafayette, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Technology, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041948053","display_name":"Mohammad H. Mahoor","orcid":"https://orcid.org/0000-0001-8923-4660"},"institutions":[{"id":"https://openalex.org/I131651094","display_name":"University of Denver","ror":"https://ror.org/04w7skc03","country_code":"US","type":"education","lineage":["https://openalex.org/I131651094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad H. Mahoor","raw_affiliation_strings":["University of Denver, Denver, CO, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Denver, Denver, CO, US","institution_ids":["https://openalex.org/I131651094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"77","issue":null,"first_page":"3398","last_page":"3405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7464489936828613},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7318646311759949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769511699676514},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6281908750534058},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6189677715301514},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6053967475891113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5377135276794434},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4907756745815277},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.474334180355072},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.4730585813522339},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.4541465938091278},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36655786633491516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23078006505966187}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7464489936828613},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7318646311759949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769511699676514},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6281908750534058},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6189677715301514},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6053967475891113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5377135276794434},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4907756745815277},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.474334180355072},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.4730585813522339},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.4541465938091278},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36655786633491516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23078006505966187},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2013.6696840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6696840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/W182831726","https://openalex.org/W1502739482","https://openalex.org/W1587091876","https://openalex.org/W2000123615","https://openalex.org/W2023292064","https://openalex.org/W2081805327","https://openalex.org/W2125838338","https://openalex.org/W2156382895","https://openalex.org/W2164432704","https://openalex.org/W2167979885","https://openalex.org/W6650479431"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W1527727992","https://openalex.org/W1532677580","https://openalex.org/W2001900524","https://openalex.org/W1531114845","https://openalex.org/W2917916498"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,46,53,65],"method":[4,38,73,98],"for":[5,23,79,132],"proactive":[6,47,128],"robot":[7,48,119,129],"communication":[8],"connectivity":[9,57,133],"maintenance":[10],"based":[11,83],"on":[12,84],"electromagnetic":[13],"field":[14],"(EMF)":[15],"recognition":[16,37,72,95],"and":[17,39,96,123],"signal":[18],"strength":[19],"(SS)":[20],"gradient":[21,40,97],"estimation":[22],"mobile":[24,59],"robots.":[25],"To":[26],"achieve":[27],"these":[28],"goals":[29],"in":[30,52,61,107,127],"an":[31],"efficient":[32],"manner,":[33],"we":[34],"combine":[35],"EMF":[36,71,81,94,117],"descent":[41],"of":[42,64],"SS":[43,85],"measurements":[44],"into":[45],"motion":[49,89,120,130],"control":[50,90,121,131],"algorithm":[51,91],"way":[54],"that":[55],"maintains":[56],"among":[58],"robots":[60,103,109],"the":[62,93,102],"presence":[63],"radio":[66],"frequency":[67],"(RF)":[68],"obstacle.":[69],"The":[70,87,112],"utilizes":[74],"hidden":[75],"Markov":[76],"models":[77],"(HMMs)":[78],"learning":[80],"environments":[82],"measurements.":[86],"proposed":[88],"uses":[92],"results":[99,122],"to":[100],"drive":[101],"towards":[104],"favorable":[105],"locations":[106],"which":[108],"can":[110],"communicate.":[111],"numerical":[113],"simulation":[114],"demonstrates":[115],"promising":[116],"recognition,":[118],"confirms":[124],"their":[125],"abilities":[126],"maintenance.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}