Strategies for AI-Controlled Devices: Revamping Management of Unmanned Systems in Data-Scarce Scenarios
In the ongoing conflict between Russia and Ukraine, drones have emerged as a crucial and increasingly sophisticated tool, playing a pivotal role in both offensive and defensive strategies.
Russia has been utilising drones for large-scale swarm attacks, precision strikes, and reconnaissance. Massive drone assaults, such as the recent attack involving around 400 drones targeting multiple Ukrainian cities, have aimed to overwhelm Ukrainian defences and damage civilian infrastructure [1][3]. These attacks often involve swarms of Shahed drones and incorporate suicide drone tactics operated by specialized Russian units, notably the Rubikon unit, which focuses on advanced drone warfare and operates drones that utilise a variety of frequencies to evade jamming [5].
Ukraine, in response, has been rapidly adapting its air defences and innovating counter-drone technologies. Western-supplied systems like Gepard cannons and IRIS-T or NASAMS missiles have been adapted to shoot down drones effectively. Ukraine's tech community has also developed improvised measures such as anti-drone jamming guns and AI software linked to surveillance cameras to detect and track incoming drones autonomously [2]. A hallmark of the conflict is the prevalence of drone-vs-drone engagements, underscoring the critical battlefield role of unmanned aerial vehicles [2].
In an attempt to evade electronic warfare, Russian drones operate across multiple frequency bands for control and video transmission, prompting Ukraine to innovate more adaptive and integrated electronic countermeasures [5]. Meanwhile, the deployment of AI-linked detection systems and drone interceptors points to an emerging reliance on semi-autonomous and autonomous systems for rapid, efficient counter-drone responses [2][5].
The challenge lies in creating a method for providing intent to autonomous systems, such as the doctrinal concept of commander's intent, to reduce vulnerability to jamming. Encoding written intent as machine-readable tasks is possible, but little work exists that is focused on a military context [5].
Both sides prioritise the production of drones capable of a variety of tasks, with Ukraine setting up domestic mobile production shops for small versions of these systems [6]. Autonomous systems are being fielded in smaller numbers due to their reliance on rigid mission plans and lack of ability to modify tasks without human input [4]. Semiautonomous drones capable of lethal strike have been reportedly fielded by Ukraine to defeat Russian jamming [4].
Existing policies dictate that autonomous systems are designed to allow their operators to "exercise appropriate levels of human judgment over the use of force" [7]. In GPS-denied environments, drones require a connection to their human counterpart to complete their assigned mission [5]. In response to electronic attack on control links, the use of tethered drones has emerged as a potential solution [5].
Localization and navigation from known points without the aid of GPS satellites is an active field of research, but no research exists to leverage this technique for object detection and aided target acquisition [5]. Drones are equipped with modern aided target acquisition systems using AI techniques for object detection [5].
In conclusion, the Russian invasion of Ukraine has become a proving ground for drone warfare on a large scale. Both sides utilise drones extensively for offensive strikes and defensive countermeasures. This has driven rapid development and deployment of electronic warfare, jamming techniques, and autonomous systems aimed at maintaining airspace control and gaining battlefield advantage through unmanned technology [1][2][5].
- The Russian military has integrated drone warfare into its offensive strategies, employing drones for large-scale swarm attacks, precision strikes, and reconnaissance, even incorporating suicide drone tactics.
- Ukraine's military response involves adapting air defenses and developing counter-drone technologies, such as anti-drone jamming guns and AI software for autonomous drone detection.
- Technology innovations in both defense and warfare sectors are increasingly central, with Russia exploiting multi-frequency band operations and Ukraine deploying AI-linked detection systems and drone interceptors.
- As the conflict progresses, there is a growing emphasis on the production of drones capable of a variety of tasks, with an interest in semiautonomous and autonomous systems for rapid, efficient defense and offensive responses.
