Over two high-intensity days, 14 international teams qualified for the finals week, with the top four advancing to compete across multiple challenging race formats. Teams from the UAE, Netherlands, Austria, South Korea, the Czech Republic, Mexico, Turkey, China, Spain, Canada and the USA represented a mix of university labs, research institutes, and startup innovators.

Each team raced a standardized drone equipped with the compact yet powerful NVIDIA Jetson Orin NX computing module, a forward-facing camera, and an inertial measurement unit (IMU) for onboard perception and control. With no human input, the drones relied entirely on real-time processing and AI-driven decision-making to reach speeds exceeding 150 km/h through a complex race environment.

The course design pushed the boundaries of perception-based autonomy—featuring wide gate spacing, irregular lighting, and minimal visual markers. The use of rolling shutter cameras further heightened the difficulty, testing each team’s ability to deliver fast, stable performance under demanding conditions. This marked the first time an autonomous drone race of this scale and complexity was staged on such a visually sparse track, underscoring the ambition and technical challenge of the event.

Championship Highlights

    AI Grand Challenge Winner:  MavLab (TU Delft) set the fastest time on the 170-meter course, completing two laps (22 gates) in just 17 seconds.
    AI vs Human Showdown Winner: MavLab’s autonomous drone outpaced top human pilot—in a landmark AI vs Human showdown.
    Multi-Autonomous Drone Race Winner: TII Racing emerged victorious in the multi-drone format, in a high-speed test of AI coordination and collision avoidance.
    Autonomous Drag Race Winner: MavLab (TU Delft) claimed victory in the world’s first AI-only drag race, demonstrating straight-line speed and control under high acceleration against the championship’s top teams.

“At ATRC, we believe innovation must be proven in the real world, not just promised,” said H.E. Faisal Al Bannai, Adviser to the UAE President for Strategic Research and Advanced Technology Affairs, and Secretary-General of ATRC. “A2RL is more than a race, it’s a global testbed for high-performance autonomy and reflects the UAE’s commitment to advancing AI, robotics, and next-gen mobility responsibly.”

“The future of flight doesn’t live in a lab – it lives on the racetrack,” said Stephane Timpano, CEO of ASPIRE, the hosting entity of the Abu Dhabi Autonomous Racing League. “What we saw this weekend brings us closer to scaling autonomous systems in everyday life.” Markus Stampfer, Executive Chairman of DCL, added: “We brought elite racing conditions to autonomous flight—and the AI rose to the challenge. This was a major leap for both sport and technology.”

Ecstatic after clinching three top titles, Christophe De Wagter, team principal of MavLab, shared “Winning the AI Grand Challenge and the AI vs Human race is a huge milestone for our team. It validates years of research and experimentation in autonomous flight. To see our algorithms outperform in such a high-pressure environment and take home the largest share of the prize pool, is incredibly rewarding."

The A2RL X DCL Drone STEM Program, designed in collaboration with UNICEF and under the supervision of the ATRC, has trained over 100 Emirati students this year. Over 60% earned the prestigious Trusted Operator Program certification and 24 achieved perfect scores, showcasing the cutting-edge aviation skills being developed as part of the program.

With the drone finale now in the books, all eyes turn to Season 2 of A2RL’s autonomous car racing series, set for Q4 2025 at Yas Marina Circuit in Abu Dhabi.