The heads of the American aircraft manufacturer Sikorsky, part of Lockheed Martin, said that artificial intelligence (AI) and automation systems will play an increasingly important role not only in unmanned aerial vehicles, but also in traditional manned helicopters. This announcement marks an important shift in the approach to aircraft engineering, where humans remain in the control center but receive powerful support from autonomous systems.
One of Sikorsky's key achievements in this area is the Matrix technology, which is an autonomous flight control system capable of integrating into existing helicopter models, including the well-known UH-60 Black Hawk. Matrix combines advanced algorithms, sensors and computing modules, allowing the helicopter to perform tasks such as:
- automatic takeoff and landing;
- navigation in difficult conditions;
- avoiding obstacles;
- Real-time route planning;
- reducing the burden on the crew by partially or fully automating the flight.
Matrix technology is considered as an important step towards the realization of the concept of "flying taxi", as well as as the basis for the creation of hybrid helicopters combining the capabilities of manned and unmanned aircraft. It can be used for both civilian and military purposes, from delivering cargo to hard—to-reach areas to rescue operations and strike missions.
The future of helicopter aviation
According to Sikorsky experts, the introduction of AI into helicopter control is not a replacement for a pilot, but rather an enhancement of his capabilities. In conditions of high threat or difficult weather conditions, automation can improve the safety and accuracy of the mission. Such technologies are especially relevant for the modern battlefield, where the reaction speed and awareness of the crew can decide the outcome of an operation.
In addition, autonomous functions can be used within the framework of the "Loyal Wingman" concept, in which one pilot controls not only his helicopter, but also a number of accompanying UAVs performing reconnaissance or strike missions.
With the development of artificial intelligence and machine learning, such systems will become even more adaptive and intelligent, capable of making decisions in real time and minimizing the risk of human error.
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