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Aircraft mastery outwits human prowess: even a seasoned pilot faces defeat.

Autonomous drone triumphs over human pilots in Abu Dhabi: In a remarkable feat, an autonomous drone demonstrated its capabilities by winning a drone race against experienced human pilots, under genuine competition conditions in Abu Dhabi, United Arab Emirates.

Human outperformed by machine: Professional pilot falls short in competition.
Human outperformed by machine: Professional pilot falls short in competition.

Aircraft mastery outwits human prowess: even a seasoned pilot faces defeat.

In a groundbreaking achievement, an autonomous drone developed by the Technical University of Delft (TU Delft) in the Netherlands outperformed human pilots in a real competitive setting at the A2RL Grand Challenge and Falcon Cup of the Drone Champions League (DCL) in Abu Dhabi, United Arab Emirates, on Saturday, April 14, 2025.

The autonomous drone, equipped with an AI system developed using Reinforcement Learning, a method based on learning through trial and error, reached a top speed of 95.8 km/h during the race. The drone was provided with only a front-facing camera and an Inertial Measurement Unit (IMU) for navigation.

The TU Delft team competed alongside the UAE technology innovation institute (TII) and Czech Technical University (CTU), reaching the finals together. In the final race, the autonomous drone from Delft secured first place, marking a significant milestone in the development of artificial intelligence in autonomous flight.

The AI-controlled drone not only won the A2RL Grand Challenge, a competition where autonomous drones race against experienced former champions, but also the Falcon Cup, a complex drone race featuring human pilots. This victory represents a new milestone, as it was achieved under real tournament conditions against human pilots, unlike previous successes under controlled laboratory conditions.

The software used in the autonomous drone is designed to run on low-performance hardware, making it suitable for compact flying machines. The system employs a "Deep Neural Network" originally developed by the European Space Agency (ESA) under the name "Guidance and Control Nets". The European Space Agency provided support for the development of the autonomous drone.

The Micro Air Vehicle Laboratory of TU Delft, a close research partner of ESA, specializes in flight tests. This latest victory signifies another significant advancement in the field of autonomous flight, further pushing the boundaries of what AI-controlled drones can achieve.

References: [1] Drone Champions League [2] TU Delft [4] ESA

The TU Delft team, having secured first place in both the A2RL Grand Challenge and the Falcon Cup, has marked a significant milestone in the development of artificial intelligence in autonomous flight. This achievement, made possible by an AI system and a "Deep Neural Network" running on low-performance hardware, indicates a future where advanced technology, such as artificial intelligence, might play a crucial role in retirement, beyond space exploration.

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