MAVLab wins the AlphaPilot AI challenge

We are very proud to officially announce that we have won the AlphaPilot AI Drone Racing Innovation challenge!

The challenge, organized by Lockheed Martin and the Drone Racing League, is designed to bring artificial intelligence to the drone racing world. The difficult mix of perceiving your environment, flying as fast as possible, and performing reliably under different conditions make this a one-of-a-kind competition.

The final race, which took place in Austin, Texas, on Friday December 6, was the grand finale of a series of races which began months ago. With every race, the challenge became more exciting. Our team worked really hard throughout each stage to bring a robust and (most importantly) fast solution to the table, and we are proud to have won despite the remarkable competitors that we had to face. It was a really tight race, with the first runner up, the Robotics and Perception group from the University of Zürich, being only 3 seconds slower.

 

Find out more

 

 

MAVLab AIRR drone racing team:

  • Christophe De Wagter
  • Guido de Croon
  • Federico Paredes-Valles
  • Nilay Sheth
  • Anoosh Hegde
  • Jelle Westenberger

Publications

Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon: The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition. In: 2021.

C. De Wagter, F. Paredes-Vallés, N. Sheth, G. de Croon: Learning fast in autonomous drone racing. In: Nature Machine Intelligence, vol. 3, no. 10, pp. 923, 2021, ISSN: 2522-5839, (Copyright: Copyright 2021 Elsevier B.V., All rights reserved.).

Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido C. H. E. de~Croon: Logfiles of the Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition. 2021.

In the media


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