{"id":"https://openalex.org/W4391021431","doi":"https://doi.org/10.1109/cdc49753.2023.10384225","title":"Data-Driven Distributionally Robust Coverage Control by Mobile Robots","display_name":"Data-Driven Distributionally Robust Coverage Control by Mobile Robots","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391021431","doi":"https://doi.org/10.1109/cdc49753.2023.10384225"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10384225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10384225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","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/A5087070525","display_name":"Dimitris Boskos","orcid":"https://orcid.org/0000-0003-0287-9197"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dimitris Boskos","raw_affiliation_strings":["Delft Center for Systems and Control, TU,Delft","Delft Center for Systems and Control, TU, Delft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, TU,Delft","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft Center for Systems and Control, TU, Delft","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027913099","display_name":"Jorge Cort\u00e9s","orcid":"https://orcid.org/0000-0001-9582-5184"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Jorge Cortes","raw_affiliation_strings":["Delft Center for Systems and Control, TU,Delft","Department of Mechanical and Aerospace Engineering, University of California, San Diego","Delft Center for Systems and Control, TU, Delft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, TU,Delft","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Delft Center for Systems and Control, TU, Delft","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024022921","display_name":"Sonia Mart\u0131\u0301nez","orcid":"https://orcid.org/0000-0001-6756-1484"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonia Martinez","raw_affiliation_strings":["University of California,Department of Mechanical and Aerospace Engineering,San Diego","Department of Mechanical and Aerospace Engineering, University of California, San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Mechanical and Aerospace Engineering,San Diego","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2030","last_page":"2035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9915000200271606,"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"}},"topics":[{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10545","display_name":"Optimization and Variational Analysis","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12288","display_name":"Optimization and Search Problems","score":0.978600025177002,"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/differentiable-function","display_name":"Differentiable function","score":0.7190267443656921},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.6061701774597168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023366451263428},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5939133763313293},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5310189127922058},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5016295909881592},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46492671966552734},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.45347434282302856},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.42831116914749146},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4137410819530487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37453845143318176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2833150625228882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26637834310531616},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14340519905090332}],"concepts":[{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.7190267443656921},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.6061701774597168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023366451263428},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5939133763313293},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5310189127922058},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5016295909881592},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46492671966552734},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.45347434282302856},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.42831116914749146},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4137410819530487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37453845143318176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2833150625228882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26637834310531616},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14340519905090332},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10384225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10384225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G479547996","display_name":null,"funder_award_id":"N00014-23-1-2353","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W600139552","https://openalex.org/W1484551447","https://openalex.org/W1556924139","https://openalex.org/W1788292158","https://openalex.org/W1968355947","https://openalex.org/W1993599556","https://openalex.org/W2064942524","https://openalex.org/W2071634839","https://openalex.org/W2088127528","https://openalex.org/W2099033271","https://openalex.org/W2124435169","https://openalex.org/W2126745741","https://openalex.org/W2145291367","https://openalex.org/W2164948897","https://openalex.org/W2167485994","https://openalex.org/W2336156739","https://openalex.org/W2346151177","https://openalex.org/W2537619949","https://openalex.org/W2798773971","https://openalex.org/W2963134136","https://openalex.org/W2963450292","https://openalex.org/W3103360925","https://openalex.org/W3124187518","https://openalex.org/W4249513058","https://openalex.org/W4315488915","https://openalex.org/W6759061976"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1604739066","https://openalex.org/W2115878407","https://openalex.org/W1980454230"],"abstract_inverted_index":{"This":[0,33,85,163],"paper":[1],"provides":[2],"a":[3,14,23,40,65,173],"data-driven":[4],"solution":[5],"to":[6,19,114,160,166,172,185],"the":[7,71,74,77,95,99,107,111,124,131,137,140,148,156,169,181,186,194],"problem":[8],"of":[9,16,29,73,139,150,180],"coverage":[10],"control":[11],"by":[12,39,52,63,94,135],"which":[13,44,129],"team":[15],"robots":[17,75,112],"aims":[18],"optimally":[20],"deploy":[21],"in":[22,183],"spatial":[24,195],"region":[25],"where":[26,155],"certain":[27],"event":[28,34],"interest":[30],"may":[31,158],"occur.":[32],"is":[35,45,88,116,197],"random":[36],"and":[37,47,97,146],"described":[38],"probability":[41,79],"density":[42,80,101,196],"function,":[43],"unknown":[46],"can":[48],"only":[49],"be":[50,161],"learned":[51],"collecting":[53],"data.":[54],"In":[55],"this":[56,61,120],"work,":[57],"we":[58,122],"hedge":[59],"against":[60,76],"uncertainty":[62],"designing":[64],"distributionally":[66],"robust":[67],"algorithm":[68,170,189],"that":[69,110,168],"optimizes":[70],"locations":[72,145],"worst-case":[78],"from":[81,90,176],"an":[82],"ambiguity":[83,86],"set.":[84],"set":[87],"constructed":[89],"data":[91],"initially":[92],"collected":[93],"agents,":[96],"contains":[98],"true":[100],"function":[102,109,142,157],"with":[103],"prescribed":[104],"confidence.":[105],"However,":[106],"objective":[108,141],"seek":[113],"minimize":[115],"non-smooth.":[117],"To":[118],"address":[119],"issue,":[121],"employ":[123],"so-called":[125],"gradient":[126,134],"sampling":[127,136],"algorithm,":[128],"approximates":[130],"Clarke":[132],"generalized":[133],"derivative":[138],"at":[143],"nearby":[144],"stabilizes":[147],"choice":[149],"descent":[151],"directions":[152],"around":[153],"points":[154],"fail":[159],"differentiable.":[162],"enables":[164],"us":[165],"prove":[167],"converges":[171],"stationary":[174],"point":[175],"any":[177],"initial":[178],"location":[179],"robots,":[182],"analogy":[184],"well-known":[187],"Lloyd":[188],"for":[190],"differentiable":[191],"costs":[192],"when":[193],"known.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}