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Data-Driven MPC for Quadrotors

Feb 10, 2021
Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza

* IEEE Robotics and Automation Letters (RA-L), 2021 
* 8 pages 

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Flightmare: A Flexible Quadrotor Simulator

Sep 01, 2020
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza


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Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

Aug 18, 2020
Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Duerr


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Deep Drone Acrobatics

Jun 11, 2020
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

* Robotics, Science, and Systems (RSS), 2020 
* 8 pages + 2 pages references. Video: https://youtu.be/2N_wKXQ6MXA. Code: https://github.com/uzh-rpg/deep_drone_acrobatics 

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AlphaPilot: Autonomous Drone Racing

May 26, 2020
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza

* Accepted at Robotics: Science and Systems 2020, associated video at https://youtu.be/DGjwm5PZQT8 

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Deep Drone Racing: From Simulation to Reality with Domain Randomization

May 21, 2019
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* 12 pages. arXiv admin note: text overlap with arXiv:1806.08548 

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Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

Mar 01, 2019
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* IEEE International Conference on Robotics and Automation (ICRA), 2019 
* 6 pages (+1 references) 

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Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Oct 09, 2018
Elia Kaufmann, Antonio Loquercio, Rene Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* Conference on Robotic Learning (CoRL), 2018 
* Accepted for publication in the Conference on Robotic Learning (CoRL) 2018, Zurich. 10 pages (+3 supplementary) 

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