Contemporary military operations increasingly face incidents in which the nature of the hazard is initially unclear, involving possible chemical, biological, radiological, nuclear, explosive, or combined threats. In the Czech military environment, the role allocation between the Military Police and other military actors in uncertain chemical, biological, radiological, nuclear, and explosives (CBRN-E) incidents is not fully standardized. As a result, the Military Police may be expected to involve in scene control, personnel protection, preservation of evidentiary value, and escalation decisions despite limited organic CBRN capabilities. This article proposes an experimental research design for evaluating Military Police response to uncertain CBRN-E incidents under controlled but operationally realistic conditions. The model integrates tactical, technical, legal, and forensic variables and introduces a structured evaluation framework focused on decision latency, exposure risk, evidentiary integrity, coordination effectiveness, and procedural compliance. The study supports future standardization of response procedures, training, and coordination between the Military Police and specialized military units.
This paper develops an integrated analytical framework for assessing the environmental impacts of artillery activity on soil ecosystems. The approach combines military-technical parameters with environmental, spatial, and economic data using GIS and geostatistical methods. A key contribution is the Environmental Burden Index (EBI), which evaluates environmental load across five domains: chemical contamination, physical degradation, spatial distribution of impacts, ecological sensitivity and recovery complexity. The results demonstrate that environmental degradation arises from the interaction of multiple factors, particularly fire intensity, munition type, terrain morphology, and soil characteristics, rather than from isolated contamination indicators. The proposed framework enables objective comparison of affected sites, identification of remediation priorities, and supports decision-making processes in post-conflict recovery and sustainable land management.
This paper examines the use of Virtual Reality (VR) for teaching the historical role of artillery. The methodology combines VR-based scenarios with behavioral and speech analytics supported by Artificial Intelligence. The findings indicate that VR enhances understanding of decision-making under constraints and shifts learners from technical to context-driven reasoning. The results suggest that VR can improve the linkage between theory and operational practice in artillery training. The study contributes by integrating experiential learning with measurable performance indicators and offers a novel approach to military education.
Contemporary operational environments, particularly those characterized by the widespread use of unmanned aerial systems (UAS), expose artillery units to persistent surveillance and rapid targeting, significantly increasing the risk to crews operating at or near the weapon [1,2]. Despite growing automation, a systematic approach to assessing the capability to conduct fire without physical crew presence is lacking. This paper proposes a reproducible evaluation framework for the technical capability of artillery systems to conduct remote-controlled fire from a protected position. The approach combines necessary conditions - unmanned firing cycle, automatic gun aiming, and absence of crew at the weapon - with a multi-criteria assessment and explicit consideration of data uncertainty. The method is applied to selected self-propelled howitzers and multiple launch rocket systems. The evaluation indicates that modern howitzers generally meet the required conditions, while rocket systems exhibit emerging capability, often supported by expert assessment rather than documented evidence.
The results suggest that system architecture may represent a more decisive factor than the level of automation alone and highlight significant gaps in publicly available data.