@article{
 title = {A decentralized strategy for multirobot sampling/patrolling: Theory and experiments},
 type = {article},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {Gaussian Processes,multi-robot systems,patrolling,surveillance.},
 pages = {313-322},
 volume = {23},
 month = {1},
 id = {49501a37-5813-38e7-bf83-d19813c3f894},
 created = {2021-04-28T12:30:10.473Z},
 file_attached = {false},
 profile_id = {dcdcff93-58cc-34bb-b0e0-7fc9736b25a1},
 group_id = {82d7d241-f241-36fe-8e1a-5a88cc7fdaa2},
 last_modified = {2021-04-28T12:30:10.473Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {6798666},
 source_type = {article},
 private_publication = {false},
 abstract = {This brief presents a decentralized coordinated strategy for multirobot patrolling missions. Patrolling is here interpreted within the framework of the sampling problem. To be applied in practice, several realistic constraints and the time/spatial variance of the information are explicitly considered. The proposed approach is well rooted in the concepts of Voronoi tessellations and Gaussian Processes. Each robot, based only on local information, computes the next point to visit according to a given performance criteria. Numerical simulations and experiments involving three autonomous marine surface robots in a harbor scenario at the Parque Expo site in Lisbon, Portugal, are presented.},
 bibtype = {article},
 author = {Marino, Alessandro and Antonelli, Gianluca and Aguiar, Antonio Pedro and Pascoal, Antonio and Chiaverini, Stefano},
 journal = {IEEE Transactions on Control Systems Technology},
 number = {1}
}

{"_id":"tzBFKiDDe9BTSrwaa","bibbaseid":"marino-antonelli-aguiar-pascoal-chiaverini-adecentralizedstrategyformultirobotsamplingpatrollingtheoryandexperiments-2015","authorIDs":[],"author_short":["Marino, A.","Antonelli, G.","Aguiar, A., P.","Pascoal, A.","Chiaverini, S."],"bibdata":{"title":"A decentralized strategy for multirobot sampling/patrolling: Theory and experiments","type":"article","year":"2015","identifiers":"[object Object]","keywords":"Gaussian Processes,multi-robot systems,patrolling,surveillance.","pages":"313-322","volume":"23","month":"1","id":"49501a37-5813-38e7-bf83-d19813c3f894","created":"2021-04-28T12:30:10.473Z","file_attached":false,"profile_id":"dcdcff93-58cc-34bb-b0e0-7fc9736b25a1","group_id":"82d7d241-f241-36fe-8e1a-5a88cc7fdaa2","last_modified":"2021-04-28T12:30:10.473Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"6798666","source_type":"article","private_publication":false,"abstract":"This brief presents a decentralized coordinated strategy for multirobot patrolling missions. Patrolling is here interpreted within the framework of the sampling problem. To be applied in practice, several realistic constraints and the time/spatial variance of the information are explicitly considered. The proposed approach is well rooted in the concepts of Voronoi tessellations and Gaussian Processes. Each robot, based only on local information, computes the next point to visit according to a given performance criteria. Numerical simulations and experiments involving three autonomous marine surface robots in a harbor scenario at the Parque Expo site in Lisbon, Portugal, are presented.","bibtype":"article","author":"Marino, Alessandro and Antonelli, Gianluca and Aguiar, Antonio Pedro and Pascoal, Antonio and Chiaverini, Stefano","journal":"IEEE Transactions on Control Systems Technology","number":"1","bibtex":"@article{\n title = {A decentralized strategy for multirobot sampling/patrolling: Theory and experiments},\n type = {article},\n year = {2015},\n identifiers = {[object Object]},\n keywords = {Gaussian Processes,multi-robot systems,patrolling,surveillance.},\n pages = {313-322},\n volume = {23},\n month = {1},\n id = {49501a37-5813-38e7-bf83-d19813c3f894},\n created = {2021-04-28T12:30:10.473Z},\n file_attached = {false},\n profile_id = {dcdcff93-58cc-34bb-b0e0-7fc9736b25a1},\n group_id = {82d7d241-f241-36fe-8e1a-5a88cc7fdaa2},\n last_modified = {2021-04-28T12:30:10.473Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {6798666},\n source_type = {article},\n private_publication = {false},\n abstract = {This brief presents a decentralized coordinated strategy for multirobot patrolling missions. Patrolling is here interpreted within the framework of the sampling problem. To be applied in practice, several realistic constraints and the time/spatial variance of the information are explicitly considered. The proposed approach is well rooted in the concepts of Voronoi tessellations and Gaussian Processes. Each robot, based only on local information, computes the next point to visit according to a given performance criteria. Numerical simulations and experiments involving three autonomous marine surface robots in a harbor scenario at the Parque Expo site in Lisbon, Portugal, are presented.},\n bibtype = {article},\n author = {Marino, Alessandro and Antonelli, Gianluca and Aguiar, Antonio Pedro and Pascoal, Antonio and Chiaverini, Stefano},\n journal = {IEEE Transactions on Control Systems Technology},\n number = {1}\n}","author_short":["Marino, A.","Antonelli, G.","Aguiar, A., P.","Pascoal, A.","Chiaverini, S."],"biburl":"https://bibbase.org/service/mendeley/dcdcff93-58cc-34bb-b0e0-7fc9736b25a1","bibbaseid":"marino-antonelli-aguiar-pascoal-chiaverini-adecentralizedstrategyformultirobotsamplingpatrollingtheoryandexperiments-2015","role":"author","urls":{},"keyword":["Gaussian Processes","multi-robot systems","patrolling","surveillance."],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/dcdcff93-58cc-34bb-b0e0-7fc9736b25a1","creationDate":"2020-11-20T18:08:15.337Z","downloads":0,"keywords":["gaussian processes","multi-robot systems","patrolling","surveillance."],"search_terms":["decentralized","strategy","multirobot","sampling","patrolling","theory","experiments","marino","antonelli","aguiar","pascoal","chiaverini"],"title":"A decentralized strategy for multirobot sampling/patrolling: Theory and experiments","year":2015,"dataSources":["tmWCYeuhcvDf3RtcE","ya2CyA73rpZseyrZ8"]}