{"id":"https://openalex.org/W6959951808","doi":"https://doi.org/10.13016/dspace/hdwp-zlxr","title":"MULTI-AGENT SPATIAL COORDINATION VIA TIME-VARIATIONS IN COVERAGE CONTROL","display_name":"MULTI-AGENT SPATIAL COORDINATION VIA TIME-VARIATIONS IN COVERAGE CONTROL","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W6959951808","doi":"https://doi.org/10.13016/dspace/hdwp-zlxr"},"language":"en","primary_location":{"id":"pmh:oai:drum.lib.umd.edu:1903/30012","is_oa":false,"landing_page_url":"http://hdl.handle.net/1903/30012","pdf_url":null,"source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.13016/dspace/hdwp-zlxr","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xu, Xiaotian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xu, Xiaotian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10733","display_name":"Wheat and Barley Genetics and Pathology","score":0.35030001401901245,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10733","display_name":"Wheat and Barley Genetics and Pathology","score":0.35030001401901245,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10012","display_name":"Genetic diversity and population structure","score":0.15209999680519104,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10434","display_name":"Chromosomal and Genetic Variations","score":0.10409999638795853,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6606000065803528},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.6287000179290771},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6151999831199646},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5946999788284302},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5311999917030334},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45089998841285706},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4399000108242035},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4390999972820282}],"concepts":[{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6606000065803528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473000049591064},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.6287000179290771},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6151999831199646},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5946999788284302},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5311999917030334},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45089998841285706},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41819998621940613},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C169337768","wikidata":"https://www.wikidata.org/wiki/Q2446723","display_name":"Swarm robotics","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C2982888158","wikidata":"https://www.wikidata.org/wiki/Q5165874","display_name":"Control function","level":3,"score":0.2815999984741211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:drum.lib.umd.edu:1903/30012","is_oa":false,"landing_page_url":"http://hdl.handle.net/1903/30012","pdf_url":null,"source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},{"id":"doi:10.13016/dspace/hdwp-zlxr","is_oa":true,"landing_page_url":"https://doi.org/10.13016/dspace/hdwp-zlxr","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Collection"}],"best_oa_location":{"id":"doi:10.13016/dspace/hdwp-zlxr","is_oa":true,"landing_page_url":"https://doi.org/10.13016/dspace/hdwp-zlxr","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Collection"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Coverage":[0],"control":[1,143,153,198,209,226,360,461],"of":[2,11,20,52,86,117,154,159,186,215,224,241,330,343,361,368,372,375,383,420,424,435,462,471,474],"multi-agent":[3,98],"systems":[4],"(MASs)":[5],"spatially":[6,110],"spreads":[7],"out":[8],"a":[9,15,18,62,71,87,92,104,112,124,155,263,323,331,341,357,373,381,393],"group":[10,342],"agents":[12,179,402,413],"to":[13,48,91,109,121,128,174,182,221,262,274,335,365,378,387,400,407,443,453],"form":[14],"configuration":[16],"over":[17,144,227,319],"domain":[19,173,192,382,406,426],"interest.":[21,384],"This":[22],"research":[23],"investigates":[24],"the":[25,34,39,74,79,129,141,148,152,172,184,187,191,207,222,235,239,242,246,253,256,258,267,311,328,347,350,354,369,388,405,422,425,472,475],"two":[26],"fundamental":[27],"elements":[28],"embedded":[29,321],"in":[30,147,157,252,309,316,322,327,349,404,418,428,433],"coverage":[31,130,142,225,318,359,391,396,460],"control,":[32],"i.e.,":[33],"time-varying":[35,40,132,145,228,465],"density":[36,467],"function":[37],"and":[38,42,102,114,167,230,244,270,299,326,469],"domain,":[41,188],"how":[43],"these":[44],"can":[45,67],"be":[46,68,175],"leveraged":[47],"achieve":[49],"collaborative":[50,288],"controls":[51],"MASs.":[53],"We":[54],"focus":[55],"on":[56,287],"three":[57],"problems:":[58],"first,":[59],"we":[60,139],"abstract":[61],"robotic":[63,75],"swarm,":[64,236],"so":[65,151],"it":[66,271],"controlled":[69],"as":[70,427],"whole":[72],"where":[73],"team":[76,374],"adaptively":[77],"finds":[78],"suitable":[80],"spatial":[81],"configuration;":[82],"second,":[83,257],"such":[84],"abstraction":[85,259],"MAS":[88,113,197,317],"is":[89,107,165,168,193,204,211,260,272,363,398,414],"extended":[90,261],"higher-dimensional":[93],"embedding":[94],"for":[95,233,249,280,290,302,340],"an":[96,276],"interactive":[97,277,333],"aerial":[99,282,293],"cinematography":[100,304],"application;":[101],"third,":[103],"multi-objective":[105,358,459],"formulation":[106],"developed":[108],"distribute":[111],"take":[115,366],"advantage":[116,367],"its":[118,160],"collective":[119,370],"effort":[120,371],"persistently":[122,379],"cover":[123],"space.":[125],"In":[126,213,255,353,385],"contrast":[127],"with":[131,451,456,464],"densities":[133],"which":[134,203,345,439],"has":[135],"been":[136],"actively":[137],"studied,":[138],"address":[140],"domains":[146,232],"first":[149],"problem,":[150,356],"MAS,":[156],"terms":[158,419,434],"position,":[161],"scale,":[162],"shape,":[163],"etc.,":[164],"enabled":[166],"simplified":[169],"into":[170],"manipulating":[171],"covered":[176],"directly.":[177],"The":[178,284,410],"coordinate":[180],"themselves":[181],"accommodate":[183],"evolution":[185,240],"even":[189],"when":[190],"evolving":[194],"fast.":[195],"A":[196],"algorithm,":[199],"named":[200],"Swarm":[201],"Herding,":[202],"built":[205],"upon":[206],"proposed":[208],"mechanism":[210],"implemented.":[212],"pursuit":[214],"this":[216],"approach,":[217],"contributions":[218],"are":[219,286,307,449],"made":[220,308,450],"problem":[223],"convex":[229],"non-convex":[231],"abstracting":[234],"efficiently":[237],"tracking":[238],"domains,":[243],"synthesizing":[245],"specialized":[247],"controllers":[248],"every":[250],"agent":[251],"swarm.":[254],"hemispherical":[264],"manifold":[265],"under":[266],"geodesic":[268],"metric,":[269],"employed":[273],"enable":[275],"motion":[278,437],"coordinator":[279],"multi-robot":[281],"cinematography.":[283],"emphases":[285],"behavior":[289],"multiple":[291,476],"unmanned":[292],"vehicles":[294],"(UAVs),":[295],"dynamic":[296],"target":[297],"tracking,":[298],"real-time":[300],"interaction":[301],"aesthetic":[303],"objectives.":[305,477],"Contributions":[306,448],"accommodating":[310],"realistic":[312],"issues":[313],"that":[314],"occurred":[315],"manifolds":[320],"higher":[324],"dimension":[325],"design":[329],"distributed":[332],"framework":[334],"provide":[336],"high-level":[337],"position":[338],"instructions":[339],"UAVs":[344],"addresses":[346],"gap":[348],"``one-pilot-many-robot''":[351],"feature.":[352],"third":[355],"MASs":[362,463],"formulated":[364],"mobile":[376],"sensors":[377],"explore":[380],"addition":[386],"standard":[389],"locational":[390],"objective,":[392],"new":[394],"perceptional":[395],"objective":[397],"introduced":[399],"drive":[401],"around":[403],"gain":[408],"information.":[409],"collaboration":[411],"between":[412],"defined":[415],"not":[416],"only":[417],"exchanging":[421],"knowledge":[423],"previous":[429],"work":[430],"but":[431],"also":[432],"inter-agent":[436],"coordination":[438],"reduces":[440],"redundant":[441],"visits":[442],"certain":[444],"locations":[445],"by":[446],"agents.":[447],"respect":[452],"information":[454],"exchange":[455],"performance":[457],"guarantees,":[458],"state-dependent":[466],"functions,":[468],"analysis":[470],"effects":[473]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}