Drones: An excellent control challenge for AI

Unmanned Aerial Vehicles (UAVs) serve as an ideal testbed for AI-driven control systems. At Luffy AI, we tackle the complex MIMO (many-input, many-output) PID flight control challenge, where precise thruster adjustments are required to maintain stability amidst external forces like wind, turbulence and payload-induced moments.

The diversity across UAV types (varying in mass, aerodynamics, payloads and thrust) allows us to develop and optimise adaptive control strategies that scale from small drones to large autonomous vehicles with vastly different dynamics.

By leveraging adaptive intelligence, we go beyond traditional PID tuning, enabling our AI to dynamically adjust and optimise flight control in real time. This research is pushing the boundaries of autonomous control, robustness and adaptability with applications extending into industrial process control.

A key breakthrough of our research is the extreme compute efficiency of our Adaptive Neural Systems. Inspired by neuroplasticity, our bio-inspired AI framework enables the creation of small yet powerful neural networks for nonlinear control problems, deployable in just a few hundred bytes of memory.

While developing our AI framework is an exciting challenge, controlling and flying drones is also a lot of fun!

We are grateful to the National Aerospace Technology Exploitation Programme (NATEP) for supporting our work and enabling us to continue advancing cutting-edge control systems.

Would you like to learn more about how adaptive intelligence is revolutionising control systems? Send us a message or ask us to contact you via our website.

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