AI-Powered Drones Demonstrate Advanced Capabilities in Radio-Jammed Environments, Paving the Way for Future Combat Systems

In recent years, the integration of artificial intelligence (AI) into unmanned aerial systems (UAS) has revolutionized their capabilities, particularly in challenging environments such as those with radio frequency (RF) jamming. AI-powered drones are now demonstrating advanced capabilities that are crucial for future combat systems, ensuring operational effectiveness even in the most hostile conditions.

Quantum Systems and Airbus: A Case Study

A notable example of this advancement is the collaboration between Quantum Systems and Airbus Defence and Space. This partnership, funded by the German Ministry of Defence, focuses on the development and demonstration of AI-enabled swarming technology for tactical UAS under the project KITU 2 (Künstliche Intelligenz für taktische UAS; Artificial Intelligence for Tactical UAS) ¹².

Key Highlights of the Case Study:

1. AI and Swarming Technology:

   • The project aims to leverage AI to enable swarming capabilities in UAS. Swarming allows multiple drones to operate in a coordinated manner, significantly enhancing their effectiveness on the battlefield. This technology is particularly beneficial in RF-jammed environments where traditional communication methods may fail ¹.

2. Quantum Systems’ Vector Platform:

   • Quantum Systems contributes its Vector 2-in-1 tactical aerial reconnaissance platform, which features built-in AI edge-computing capabilities. This platform can be deployed as a fixed-wing eVTOL (electric Vertical Take-Off and Landing) Vector or as a multicopter Scorpion UAS, providing versatility and adaptability in various mission scenarios ¹.

3. Robust Navigation and Object Recognition:

   • Spleenlab, another partner in the project, brings expertise in AI edge software for swarming. This includes robust navigation methods and object recognition capabilities, which are essential for maintaining operational effectiveness in communication-denied environments ².

4. Applications in Future Combat Systems:

   • The research and development efforts from this partnership are expected to benefit larger defense programs such as the Main Ground Combat Systems (MGCS) and the Future Combat Air System (FCAS). These programs aim to integrate next-generation technology and multi-platform swarming capabilities to enhance both defensive and offensive operations on the battlefield ¹².

Implications for Future Combat Systems

The advancements demonstrated by AI-powered drones in radio-jammed environments have significant implications for future combat systems:

• Enhanced Operational Resilience: AI enables drones to operate autonomously and make real-time decisions, ensuring mission success even when external communications are compromised.

• Force Multiplication: Swarming technology allows a smaller number of operators to control a larger number of drones, effectively multiplying the force’s capabilities and coverage area.

• Cost-Effectiveness: Deploying multiple smaller, AI-enabled drones can be more cost-effective than relying on a few larger, more expensive platforms. This approach also mitigates the impact of losing individual drones during operations.

• Strategic Flexibility: The ability to adapt to various mission requirements and environments, including those with RF jamming, provides military forces with greater strategic flexibility and operational readiness.

In conclusion, the collaboration between Quantum Systems and Airbus Defence and Space exemplifies the transformative potential of AI-powered drones in modern warfare. By demonstrating advanced capabilities in radio-jammed environments, these drones are paving the way for more resilient, effective, and versatile future combat systems.