{"_id":"hq6DJeTQjScWs9mFB","bibbaseid":"marino-parker-antonelli-caccavale-fuzzybehavioralcontrolformultirobotborderpatrol-2009","authorIDs":["ne6yNnpK9XTiSEDdG"],"author_short":["Marino, A.","Parker, L.","Antonelli, G.","Caccavale, F."],"bibdata":{"bibtype":"conference","type":"conference","author":[{"propositions":[],"lastnames":["Marino"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Parker"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Antonelli"],"firstnames":["Gianluca"],"suffixes":[]},{"propositions":[],"lastnames":["Caccavale"],"firstnames":["F."],"suffixes":[]}],"title":"Fuzzy Behavioral Control for Multi-Robot Border Patrol","year":"2009","booktitle":"17th Mediterranean Conference on Control and Automation","abstract":"This paper deals with the problem of multi-robot border patrolling. The patrolling algorithm is designed by resorting to the behavioral control framework and is organized in a hierarchical structure. Several Elementary Behaviors are defined, which are the basis of the concept of Action, placed at a higher level of abstraction with respect to the behaviors. Each Action is obtained by properly combining multiple Elementary Behaviors via the Null-Space-Behavioral control framework. For the sake of robustness, the overall patrolling algorithm is fully decentralized, since explicit communication between robots is not needed. A a Fuzzy Inference System is designed to select the proper Action according to local sensor information only. The algorithm has been validated in simulation as well as experimentally on a setup composed by three Pioneer robots.","keywords":"Behavioral control; Border Patrol; Platoon of vehicles; Multi-robot systems; Swarm Robotics.","url":"https://ieeexplore.ieee.org/document/5164547","doi":"10.1109/MED.2009.5164547","pages":"246–251","bibtex":"@conference{\n\t11580_1464,\n\tauthor = {Marino, A. and Parker, L. and Antonelli, Gianluca and Caccavale, F.},\n\ttitle = {Fuzzy Behavioral Control for Multi-Robot Border Patrol},\n\tyear = {2009},\n\tbooktitle = {17th Mediterranean Conference on Control and Automation},\n\tabstract = {This paper deals with the problem of multi-robot border patrolling. The patrolling algorithm is designed by resorting to the behavioral control framework and is organized in a hierarchical structure. Several Elementary Behaviors are defined, which are the basis of the concept of Action, placed at a higher level of abstraction with respect to the behaviors. Each Action is obtained by properly combining multiple Elementary Behaviors via the Null-Space-Behavioral control framework. For the sake of robustness, the overall patrolling algorithm is fully decentralized, since explicit communication between robots is not needed. A a Fuzzy Inference System is designed to select the proper Action according to local sensor information only. The algorithm has been validated in simulation as well as experimentally on a setup composed by three Pioneer robots.},\n\tkeywords = {Behavioral control; Border Patrol; Platoon of vehicles; Multi-robot systems; Swarm Robotics.},\n\turl = {https://ieeexplore.ieee.org/document/5164547},\n\tdoi = {10.1109/MED.2009.5164547},\n\tpages = {246--251}\n}\n","author_short":["Marino, A.","Parker, L.","Antonelli, G.","Caccavale, F."],"key":"11580_1464","id":"11580_1464","bibbaseid":"marino-parker-antonelli-caccavale-fuzzybehavioralcontrolformultirobotborderpatrol-2009","role":"author","urls":{"Paper":"https://ieeexplore.ieee.org/document/5164547"},"keyword":["Behavioral control; Border Patrol; Platoon of vehicles; Multi-robot systems; Swarm Robotics."],"metadata":{"authorlinks":{"marino, a":"https://bibbase.org/show?bib=https://bibbase.org/network/files/LhpEBBMAufCZxdRLG&msg=preview&fileId=LhpEBBMAufCZxdRLG"}},"downloads":0},"bibtype":"conference","biburl":"https://bibbase.org/network/files/LhpEBBMAufCZxdRLG","creationDate":"2020-11-25T08:20:10.783Z","downloads":0,"keywords":["behavioral control; border patrol; platoon of vehicles; multi-robot systems; swarm robotics."],"search_terms":["fuzzy","behavioral","control","multi","robot","border","patrol","marino","parker","antonelli","caccavale"],"title":"Fuzzy Behavioral Control for Multi-Robot Border Patrol","year":2009,"dataSources":["onHHakCaafsPXRJuA","J65xqWZyBLXrjw3X2","6NgPDFaCmqRP2Kc7N","RWJmxnQ8QJ5eWqEfq","a9jNc2NyyC7d58MTq","YjpAZwNicNHANadbW","9HNP8ouNgGHQfHxfN"]}