Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96462
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dc.contributorDepartment of Aeronautical and Aviation Engineering-
dc.creatorLi, Xen_US
dc.creatorHuang, Hen_US
dc.creatorSavkin, AVen_US
dc.creatorZhang, Jen_US
dc.date.accessioned2022-12-07T02:55:02Z-
dc.date.available2022-12-07T02:55:02Z-
dc.identifier.urihttp://hdl.handle.net/10397/96462-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Li, X., Huang, H., Savkin, A. V., & Zhang, J. (2022). Robotic herding of farm animals using a network of barking aerial drones. Drones, 6(2), 29 is available at https://doi.org/10.3390/drones6020029.en_US
dc.subjectAutonomous dronesen_US
dc.subjectMotion controlen_US
dc.subjectPrecision farmingen_US
dc.subjectRobotic herdingen_US
dc.subjectShepherdingen_US
dc.subjectSwarm guidanceen_US
dc.subjectUnmanned aerial vehicles (UAVs)en_US
dc.titleRobotic herding of farm animals using a network of barking aerial dronesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume6en_US
dc.identifier.issue2en_US
dc.identifier.doi10.3390/drones6020029en_US
dcterms.abstractThis paper proposes a novel robotic animal herding system based on a network of autonomous barking drones. The objective of such a system is to replace traditional herding methods (e.g., dogs) so that a large number (e.g., thousands) of farm animals such as sheep can be quickly collected from a sparse status and then driven to a designated location (e.g., a sheepfold). In this paper, we particularly focus on the motion control of the barking drones. To this end, a computationally efficient sliding mode based control algorithm is developed, which navigates the drones to track the moving boundary of the animals’ footprint and enables the drones to avoid collisions with others. Extensive computer simulations, where the dynamics of the animals follow Reynolds’ rules, show the effectiveness of the proposed approach.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationDrones, Feb. 2022, v. 6, no. 2, 29en_US
dcterms.isPartOfDronesen_US
dcterms.issued2022-02-
dc.identifier.scopus2-s2.0-85123793583-
dc.identifier.eissn2504-446Xen_US
dc.identifier.artn29en_US
dc.description.validate202212 bckw-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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