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Champion-level drone racing using deep reinforcement learning

Engineering and Technology

Champion-level drone racing using deep reinforcement learning

E. Kaufmann, L. Bauersfeld, et al.

Discover how Swift, an impressive autonomous drone racing system developed by Elia Kaufmann and colleagues, achieved world-champion-level performance in head-to-head races against human champions. Experience the remarkable intersection of deep reinforcement learning and real-world data in overcoming the challenges of high-speed flight.

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Playback language: English
Abstract
This paper introduces Swift, an autonomous drone racing system that achieved world-champion-level performance against three human champions in head-to-head races. Swift combines deep reinforcement learning (RL) in simulation with real-world data to overcome the challenges of high-speed flight and onboard sensor limitations. The system's success represents a significant milestone for mobile robotics and machine intelligence.
Publisher
Nature
Published On
Aug 30, 2023
Authors
Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Tags
autonomous drones
drone racing
deep reinforcement learning
mobile robotics
machine intelligence
high-speed flight
sensor limitations

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