Rapid exploration with multi-rotors: A frontier selection method for high speed flight. - Titus Cieslewski; Elia Kaufmann; Davide Scaramuzza 001 (IROS, 2017)

Deep Drone Racing: Learning Agile Flight in Dynamic Environments. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (CoRL, 2018)

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. - Elia Kaufmann; Mathias Gehrig; Philipp Foehn; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (ICRA, 2019)

Flightmare: A Flexible Quadrotor Simulator. - Yunlong Song; Selim Naji; Elia Kaufmann; Antonio Loquercio; Davide Scaramuzza 001 (CoRL, 2020)

Deep Drone Acrobatics. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Robotics: Science and Systems, 2020)

Deep Drone Racing: From Simulation to Reality With Domain Randomization. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2020)

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. - Yunlong Song; HaoChih Lin; Elia Kaufmann; Peter Dürr; Davide Scaramuzza 001 (ICRA, 2021)

Deep Drone Acrobatics (Extended Abstract). - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (IJCAI, 2021)

Autonomous Drone Racing with Deep Reinforcement Learning. - Yunlong Song; Mats Steinweg; Elia Kaufmann; Davide Scaramuzza 001 (IROS, 2021)

NeuroBEM: Hybrid Aerodynamic Quadrotor Model. - Leonard Bauersfeld; Elia Kaufmann; Philipp Foehn; Sihao Sun; Davide Scaramuzza 001 (Robotics: Science and Systems, 2021)

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. - Florian Fuchs 004; Yunlong Song; Elia Kaufmann; Davide Scaramuzza 001; Peter Dürr (IEEE Robotics Autom. Lett., 2021)

Data-Driven MPC for Quadrotors. - Guillem Torrente; Elia Kaufmann; Philipp Foehn; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2021)

Learning high-speed flight in the wild. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2021)

Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Mueller 001; Vladlen Koltun; Davide Scaramuzza 001 (Zenodo, 2021)

A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. - Elia Kaufmann; Leonard Bauersfeld; Davide Scaramuzza 001 (ICRA, 2022)

Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. - Davide Scaramuzza 001; Elia Kaufmann (ISRR, 2022)

AlphaPilot: autonomous drone racing. - Philipp Foehn; Dario Brescianini; Elia Kaufmann; Titus Cieslewski; Mathias Gehrig; Manasi Muglikar; Davide Scaramuzza 001 (Auton. Robots, 2022)

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. - Tim Salzmann; Elia Kaufmann; Marco Pavone 001; Davide Scaramuzza 001; Markus Ryll (CoRR, 2022)

Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. - Drew Hanover; Philipp Foehn; Sihao Sun; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Learning Minimum-Time Flight in Cluttered Environments. - Robert Penicka; Yunlong Song; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. - Philipp Foehn; Elia Kaufmann; Angel Romero; Robert Penicka; Sihao Sun; Leonard Bauersfeld; Thomas Laengle; Giovanni Cioffi; Yunlong Song; Antonio Loquercio; Davide Scaramuzza 001 (Sci. Robotics, 2022)

A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. - Sihao Sun; Angel Romero; Philipp Foehn; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2022)

User-Conditioned Neural Control Policies for Mobile Robotics. - Leonard Bauersfeld; Elia Kaufmann; Davide Scaramuzza 001 (ICRA, 2023)

Champion-level drone racing using deep reinforcement learning. - Elia Kaufmann; Leonard Bauersfeld; Antonio Loquercio; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Nat., 2023)

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. - Tim Salzmann; Elia Kaufmann; Jon Arrizabalaga; Marco Pavone 001; Davide Scaramuzza 001; Markus Ryll (IEEE Robotics Autom. Lett., 2023)

Learned Inertial Odometry for Autonomous Drone Racing. - Giovanni Cioffi; Leonard Bauersfeld; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2023)

Autonomous Drone Racing: A Survey. - Drew Hanover; Antonio Loquercio; Leonard Bauersfeld; Angel Romero; Robert Penicka; Yunlong Song; Giovanni Cioffi; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2024)