This paper presents an analysis of the proliferation of unmanned aerial and maritime vehicles (UAMVs) and their implications for future military operations. Although initially, the development and production of such vehicles were under state control, they recently moved to the private sector, and their capabilities were constantly improved. They are used for civilian and military purposes. Since there has been a drastic drop in the cost of UAMV production, they are becoming available to almost all armed forces, while previously, it was the privilege of only a few countries. The rapid development of UAMV for military purposes is considered as a new technological revolution that is already significantly changing the character and way of conducting armed conflicts, and it is estimated that their participation and importance in future potential disputes will be increased. The development of UAMVs and their use in armed conflicts has led to their proliferation and production race. The paper analyses the experience of UAMV use in recent military conflicts and identifies its advantages and limitations. Finally, it draws conclusions and recommendations for strategic military planners on implementing those technological changes within the armed forces and provides an adequate response to this threat.

This paper presents the results of seakeeping tests conducted on the Tritor, a remotely controlled autonomous unmanned surface vehicle (USV) featuring a trimaran hull design known as the Three Slender Cylinders Hull (3SCH) and equipped with electric propulsion. Previous research focused on the vehicle’s design, prototype development, and initial functional testing. Tritor is characterised by its simple design and construction, reliable propulsion system, and excellent stability and manoeuvrability. Its control and navigation systems have demonstrated effective performance in both remote-controlled and fully autonomous modes. In the present study, seakeeping tests were carried out in a towing tank, with repeated trials conducted at various speeds and wavelengths. The selected wavelengths were close to the vehicle’s length, where the most significant responses were expected. Test speeds ranged from 1.0 to 2.5 m per second, based on prior operational experience with the vehicle. Due to the constraints of the towing tank, all wave directions were limited to head seas. Measurements included heave and pitch motions. Vertical accelerations at the vehicle’s centre of gravity were derived from the heave data and used as a key indicator of seakeeping performance. The results were evaluated against established seakeeping criteria related to vessel operability and structural safety.

The rapid advancement of artificial intelligence (AI) is transforming naval capabilities, reshaping ship design, lifecycle management, operational decision-making, and autonomous maritime systems. Naval platforms are among the most complex engineered systems, characterised by long service lives, safety-critical functions, and demanding operational environments, making AI integration both strategically attractive and technically challenging. This paper presents an engineering-oriented review of AI applications in the naval domain, focusing on their role across the capability development lifecycle. To illustrate practical implementation, a Random Forest regression model is developed to support early-stage prediction of the block coefficient of naval ships. The review highlights significant opportunities associated with AI integration, including enhanced decision-making, improved design efficiency, and increased operational effectiveness. However, successful AI adoption requires technological advancement alongside organisational adaptation, strong governance, and sustained investment in human expertise. AI should therefore be understood not as a replacement for naval engineering expertise, but as a force multiplier that augments analytical capacity and accelerates innovation across the maritime domain.