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Języki publikacji
Abstrakty
The aim of this study is to identify a drone swarm’s capabilities and the key factors influencing its employment in military operations. The research takes the quantitative analysis of scientific literature related to the technical and operational utilization of drones. The use of drones for military purposes in contemporary world is widespread. They conduct dull, dirty, dangerous and deep military operations replacing manned aviation in many areas. Progressive technological development including artificial intelligence and machine learning allows for the use of military drones in the form of a swarm. It is a quite new technology at the beginning of development. The study indicates that the capabilities of a drone swarm based on communication within the group and autonomy differentiate it from the typical use of unmanned aircraft. Size, diversity, self-configurability and self-perfection amongst the others indicated in literature are attributes of a drone swarm which may give advantage in military operation comparing to the classic use of unmanned aircraft. Emergent coordination as a command and control model of a drone swarm is a future way of utilizing that technology in military operations. In the future, a drone swarm will be a cheaper equivalent of advanced and much more expensive weapon systems conducting combat operations.
Czasopismo
Rocznik
Tom
Strony
59--71
Opis fizyczny
Bibliogr. 24 poz., rys.
Twórcy
autor
- War Studies University, Warsaw
Bibliografia
- 1. Arkin, R. (2009). Governing Lethal Behavior in Autonomous Robots. Taylor and Francis Group Publishing.
- 2. Arquilla, J., & Ronfeldt, D. (2000). Swarming and the Future of Conflict. RAND Corporation. https://www.rand.org/content/dam/rand/pubs/documented_briefings/2005/RAND_DB311.pdf
- 3. Burdick, J.E. (2015). Instantly Basing Locust Swarms. New Options for Future Air Operations (Drew Paper No. 20). AU Press. https://media.defense.gov/2017/Nov/21/2001847261/-1/-1/0/DP_0020_BURDICK_INSTANT_BASING_LOCUST_SWARMS.PDF
- 4. Chen, X., Tang, J., & Lao, S. (2020). Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols. Applied Sciences, 10(10:3661). https://doi.org/10.3390/app10103661
- 5. Defense Science Board (2016). Report of the Defense Science Board Summer Study on Autonomy. Department of Defense, Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics. https://www.hsdl.org/?view&did=794641
- 6. Ekelhof, M., & Paoli, G.P. (2020). Swarm Robotics. Technical and Operational Overview of The Next Generation of Autonomous Systems. United Nations Institute for Disarmament Research. https://unidir.org/sites/default/files/2020-04/UNIDIR%20Swarm%20Robotics%20-%202020.pdf
- 7. Grimal, F., & Sundaram, J. (2018). Combat Drones: Hives, Swarms, and Autonomous Action? Journal of Conflict & Security Law, 23(1), 105–135. https://doi.org/10.1093/jcsl/kry008
- 8. Ilachinski, A. (2017). AI, Robots, and Swarms. Issues, Questions, and Recommended Studies. CAN Corporation. https://www.cna.org/cna_files/pdf/DRM-2017-U-014796-Final.pdf
- 9. Johnson, J. (2020). Artificial Intelligence, Drone Swarming and Escalation Risks in Future Warfare. The RUSI Journal, 165(2), 1–11. https://doi.org/10.1080/03071847.2020.1752026
- 10. Kallenborn, Z. (2020). Are Drone Swarms Weapons of Mass Destruction? (Future Warfare Series No. 60). AU Press. https://media.defense.gov/2020/Jun/29/2002331131/-1/-1/0/60DRONESWARMS-MONOGRAPH.PDF
- 11. Martinic, G. (2020). Swarming, Expendable, Unmanned Aerial Vehicles as a Warfighting Capability. Canadian Military Journal, 20(4), 43–49. http://www.journal.forces.gc.ca/vol20/no4/PDF/CMJ204Ep43.pdf
- 12. McLaughlan, B. & Hexmoor, H. (2011). Emergent command and control architecture for dynamic agent communities. Journal of Experimental & Theoretical Artificial Intelligence, 23(4), 363–387. https://doi.org/10.1080/09528130701664608
- 13. NATO Standardization Office (2020). ATP-3.3.8.2 Unmanned Aircraft System Tactics, Techniques And Procedures. NATO Standardization Office. https://nso.nato.int/nso/
- 14. OUSD(A&S) (2018). Unmanned Systems Integrated Roadmap 2017–2042. United States. Office of the Under Secretary of Defense for Acquisition and Sustainment. https://www.defensedaily.com/wp-content/uploads/post_attachment/206477.pdf
- 15. Rossiter, R. (2018). Drone usage by militant groups: exploring variation in adoption. Defense & Security Analysis, 34(2), 113–126. https://doi.org/10.1080/14751798.2018.1478183
- 16. Scharre, P. (2014). Robotics on the Battlefield, Part II: The Coming Swarm. Center for a New American Security. https://www.files.ethz.ch/isn/184587/CNAS_TheComingSwarm_Scharre.pdf
- 17. Scharre, P. (2016). Autonomous Weapon and Operational Risk. Center for a New American Security. https://s3.amazonaws.com/files.cnas.org/documents/CNAS_Autonomous-weapons-operational-risk.pdf
- 18. Sterritt R., & Hinchey, M. G.(2005). Apoptosis and self-destruct: A contribution to autonomic agents? In Hinchey, M.G., Rash, J.L., Truszkowski, W.F. & Rouff, C.A. (Eds.), Formal Approaches to Agent-Based Systems (pp. 269–278). Springer. https://www.springer.com/gp/book/9783540244226
- 19. Suzuki, S. (2018). Recent researches on innovative drone technologies in robotics field. Advanced Robotics, 32(19), 1008–1022. https://doi.org/10.1080/01691864.2018.1515660
- 20. Tan Y., & Zheng, Z. (2013). Research Advance in Swarm Robotics. Defence Technology, 9(1), 18–39. https://doi.org/10.1016/j.dt.2013.03.001
- 21. Truszkowski, W. F., Hinchey, M. G., Rash, J.L. & Rouff, C. A. (2006). Autonomous and autonomic systems: a paradigm for future space exploration missions. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 36(3),279–291.https://doi.org/10.1109/TSMCC.2006.871600
- 22. U.S. Department of Defense (2017). Directive 3000.09: Autonomy in Weapon Systems. U.S. Department of Defense. https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/300009p.pdf.
- 23. Wallach, W. (2017). Toward a Ban on Lethal Autonomous Weapons: Surmounting the Obstacles. Communications of the ACM, 60(5), 28–34. https://doi.org/10.1145/2998579
- 24. Willis, M., Haider, A., Teletin, D.C., Wagner, D. (2021). A Comprehensive Approach to Countering Unmanned Aircraft Systems. Joint Air Power Competence Centre. https://www.japcc.org/wp-content/uploads/A-Comprehensive-Approach-to-Countering-Unmanned-Aircraft-Systems.pdf
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a13ed5c7-5d3e-4ece-a7e0-64a2888fd6dc