Granta GA-10FPV-AI

Last updated
Granta GA-10FPV-AI
Granta GA-10FPV-AI (Modern Lithuanian Soldier Project).jpg
2024
Type Loitering missile
Place of origin Lithuania
Service history
In service2024–present
Used by Lithuanian Armed Forces, Armed Forces of Ukraine
Wars Russian invasion of Ukraine
Production history
Manufacturer Granta Autonomy
Produced2024–present
Specifications
Mass3 kg (6.6 lb)
Operational
range
20 km (12 mi)
Maximum speed 150 km/h (93 mph)
Guidance
system
Autonomous; manual
References [1]

Granta GA-10FPV-AI is a Lithuanian-developed first-person view (FPV) quadcopter drone designed for military applications, including reconnaissance and loitering munition roles. Manufactured by Vilnius-based Granta Autonomy, the GA-10FPV-AI is notable for its advanced autonomous capabilities, compact design, and resistance to electronic warfare. [2]

Contents

Development and design

Founded in 2015 by former Lithuanian military engineers Gediminas Guoba and Laurynas Litvinas, Granta Autonomy specializes in unmanned aerial systems and related technologies. The GA-10FPV-AI was developed as part of Lithuania's broader initiative to enhance its defense capabilities and support allied nations. The drone features vertical take-off and landing (VTOL) capabilities, allowing for operation in confined spaces and diverse terrains. It is equipped with artificial intelligence (AI) to enable autonomous flight, even in environments where GPS signals are unavailable or jamming is present. [3] [4] [5]

Operational use and deployment

n September 2024, Granta Autonomy secured a €1 million contract with the Lithuanian Ministry of National Defence to supply the GA-10FPV-AI drones. This contract is part of a larger €8 million defense procurement initiative involving several Lithuanian drone manufacturers. Under this agreement, over 2,300 drones are to be delivered to the Lithuanian military, with nearly 5,000 units allocated to Ukraine. [4]

The GA-10FPV-AI drones have been tested in real-world combat scenarios, particularly in Ukraine, where they have demonstrated effectiveness in electronic warfare environments. [6]

References

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