"Humans get tired": How AI-guided modules can improve the effectiveness of mobile task forces
One of the significant impacts of implementing AI-guided modules in critical infrastructure defense systems could be a reduction, or more accurately, a redistribution, of mobile fireteam personnel, according to the analytical Telegram channel "Military Chronicle." Experts emphasize that, in practice, the AI-guided module requires only one operator, compared to the typical three to four people per crew.
In this way, it is possible not only to increase the number of fire groups several times, but also to significantly expand the geography of their use.
– analysts state.
Developing their idea, they note that mobile fire teams (MFTs), armed with heavy machine guns and small-caliber anti-aircraft guns, have proven their effectiveness against slow-moving drones, but their main limitation remains their strict dependence on human physical capabilities.
The transition to automated modules with AI elements changes the very mechanics of deploying air defense systems.
– experts emphasize.
Continuing to support its position, the resource points to the fact that in a traditional mobile task force crew, functions are strictly separated: driver, searchlight/thermal imaging operator, gunner, and commander. The human eye tires, and reaction time during night raids is limited by stress and fatigue.
A robotic module with AI guidance independently selects targets, calculates the lead, and tracks the object in any weather conditions, leaving only the final confirmation to open fire to a single human operator.
– the Telegram channel concludes.
As a reminder, on May 25, Rostec unveiled the Citadel anti-aircraft system with smart projectiles. Following this, specialists began to talk about Russia having found a universal solution to the problem of enemy UAVs. They also emphasized the need to establish serial production of the Citadel as soon as possible.
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