{"id":"https://openalex.org/W3004539888","doi":"https://doi.org/10.1109/icar46387.2019.8981550","title":"Multi-robot On-line Sampling Scheduler for Persistent Monitoring","display_name":"Multi-robot On-line Sampling Scheduler for Persistent Monitoring","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3004539888","doi":"https://doi.org/10.1109/icar46387.2019.8981550","mag":"3004539888"},"language":"en","primary_location":{"id":"doi:10.1109/icar46387.2019.8981550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar46387.2019.8981550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Conference on Advanced Robotics (ICAR)","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/A5074933369","display_name":"Douglas G. Macharet","orcid":"https://orcid.org/0000-0002-1781-7186"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Douglas G. Macharet","raw_affiliation_strings":["Computer Vision and Robotics Laboratory (VeRLab), Universidade Federal de Minas Gerais,Department of Computer Science,MG,Brazil","Department of Computer Science, Computer Vision and Robotics Laboratory (VeRLab), Universidade Federal de Minas Gerais, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Robotics Laboratory (VeRLab), Universidade Federal de Minas Gerais,Department of Computer Science,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Computer Science, Computer Vision and Robotics Laboratory (VeRLab), Universidade Federal de Minas Gerais, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083656237","display_name":"Armando Alves Neto","orcid":"https://orcid.org/0000-0002-4940-0377"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Armando Alves Neto","raw_affiliation_strings":["Universidade Federal de Minas Gerais,Department of Electronics Engineering,MG,Brazil","Department of Electronics Engineering, Universidade Federal de Minas Gerais, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais,Department of Electronics Engineering,MG,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Electronics Engineering, Universidade Federal de Minas Gerais, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074933369"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17438183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9886999726295471,"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":0.9811000227928162,"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/computer-science","display_name":"Computer science","score":0.7386066317558289},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5238471031188965},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4701692461967468},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4354932904243469},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41867882013320923},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34075915813446045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27186572551727295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18623939156532288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05281838774681091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386066317558289},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5238471031188965},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4701692461967468},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4354932904243469},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41867882013320923},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34075915813446045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27186572551727295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18623939156532288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05281838774681091},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icar46387.2019.8981550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar46387.2019.8981550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1888754704","https://openalex.org/W1955452002","https://openalex.org/W1972710063","https://openalex.org/W2017117236","https://openalex.org/W2028046799","https://openalex.org/W2029999350","https://openalex.org/W2036268493","https://openalex.org/W2042986967","https://openalex.org/W2061171222","https://openalex.org/W2061203066","https://openalex.org/W2117257995","https://openalex.org/W2136588925","https://openalex.org/W2143088799","https://openalex.org/W2143775806","https://openalex.org/W2148094316","https://openalex.org/W2162764137","https://openalex.org/W2168990813","https://openalex.org/W2212622954","https://openalex.org/W2962707519","https://openalex.org/W2963958826","https://openalex.org/W3198160809","https://openalex.org/W4388322023","https://openalex.org/W6639585552"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2606825221","https://openalex.org/W4288076938","https://openalex.org/W2967743314","https://openalex.org/W2674584172","https://openalex.org/W1990892711","https://openalex.org/W2184085865","https://openalex.org/W2064245428","https://openalex.org/W2124621291"],"abstract_inverted_index":{"The":[0],"employment":[1],"of":[2,38,44,64,70,108,143],"autonomous":[3],"agents":[4],"for":[5],"persistent":[6],"monitoring":[7],"tasks":[8],"has":[9],"significantly":[10],"increased":[11],"in":[12,50,54,153],"recent":[13],"years.":[14],"In":[15,95],"this":[16,96,124],"sense,":[17],"the":[18,51,62,105,109,144],"data":[19,39],"collection":[20],"process":[21],"must":[22,132],"take":[23],"into":[24],"account":[25],"limited":[26],"resources,":[27],"such":[28],"as":[29],"time":[30],"and":[31,66],"energy,":[32],"whilst":[33],"acquiring":[34],"a":[35,68,130,154],"sufficient":[36],"amount":[37],"to":[40,90,113,117,123,139],"generate":[41,67],"accurate":[42],"models":[43],"underlying":[45],"phenomena.":[46],"Many":[47],"different":[48,115,118],"schedulers":[49],"literature":[52],"act":[53],"an":[55,100],"off-line":[56],"manner,":[57],"which":[58,103],"means":[59],"they":[60],"define":[61],"sequence":[63],"visit":[65],"set":[69],"paths":[71],"before":[72],"any":[73],"observations":[74],"are":[75],"made.":[76],"However,":[77],"on-line":[78,101],"approaches":[79],"can":[80],"adapt":[81],"their":[82],"behavior":[83],"based":[84],"on":[85],"previously":[86],"collected":[87],"data,":[88],"allowing":[89],"obtain":[91],"more":[92,135],"precise":[93],"models.":[94],"paper,":[97],"we":[98],"propose":[99],"scheduler":[102],"evaluates":[104],"sampling":[106],"rate":[107],"signals":[110],"being":[111],"measured":[112],"assign":[114],"priorities":[116],"Points-of-Interest":[119],"(PoIs).":[120],"Next,":[121],"according":[122],"priority,":[125],"it":[126],"is":[127],"determined":[128],"if":[129],"region":[131],"be":[133],"visited":[134],"or":[136],"less":[137],"frequently":[138],"increase":[140],"our":[141],"knowledge":[142],"phenomenon.":[145],"Our":[146],"methodology":[147],"was":[148],"evaluated":[149],"through":[150],"several":[151],"experiments":[152],"simulated":[155],"environment.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}