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Article . 2026 . Peer-reviewed
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ZENODO
Preprint . 2026
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Preprint . 2026
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ZENODO
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Smart Drone Warfare: A Study of AI-Powered Loitering Munitions in Russia-Ukraine War

Authors: Tishan, Farial Mahmod;

Smart Drone Warfare: A Study of AI-Powered Loitering Munitions in Russia-Ukraine War

Abstract

The Russian invasion of Ukraine in 2022 is widely acknowledged as the world’s first large-scale drone-centric war. This case study examines the technological supremacy and battlefield deployment of smart loitering munitions in the Russia–Ukraine war. Emphasizing their role as a revolutionary factor in modern battlefield dynamics, the study evaluates their use of artificial intelligence (AI) in intelligent surveillance, loitering, targeting and precision strikes against traditional armored units, military logistics and installations while considering countermeasures such as electronic warfare, deception and air defense systems. Further, multiple comparison graphs have been presented throughout the paper to visually analyze the superiority of AI-powered loitering munitions. Next, it underscores the limitations, risks, ethical and humanitarian aspects in the light of international laws. Finally, the study concludes with future implications of this decisive and sophisticated technology.

Related Organizations
Keywords

Artificial intelligence, Unmanned Aerial Devices, Military Science, Reinforcement learning, Defense, War, Drones, Russia-Ukraine War

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid