Elia Kaufmann

According to our database, Elia Kaufmann authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Autonomous Drone Racing: A Survey.

Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza

IEEE Trans. Robotics, 2024

2023

Learned Inertial Odometry for Autonomous Drone Racing.

Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza

IEEE Robotics Autom. Lett., May, 2023

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.

Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll

IEEE Robotics Autom. Lett., April, 2023

Champion-level drone racing using deep reinforcement learning.

Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Nat., 2023

User-Conditioned Neural Control Policies for Mobile Robotics.

Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

IEEE Trans. Robotics, 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

Sci. Robotics, 2022

Learning Minimum-Time Flight in Cluttered Environments.

Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors.

Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.

Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll

CoRR, 2022

AlphaPilot: autonomous drone racing.

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

Auton. Robots, 2022

Learning Agile, Vision-Based Drone Flight: From Simulation to Reality.

Davide Scaramuzza, Elia Kaufmann

Proceedings of the Robotics Research, 2022

A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight.

Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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, Vladlen Koltun, Davide Scaramuzza

Dataset, October, 2021

Learning high-speed flight in the wild.

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

Sci. Robotics, 2021

Data-Driven MPC for Quadrotors.

Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2021

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

Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr

IEEE Robotics Autom. Lett., 2021

NeuroBEM: Hybrid Aerodynamic Quadrotor Model.

Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn, Sihao Sun, Davide Scaramuzza

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Autonomous Drone Racing with Deep Reinforcement Learning.

Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Drone Acrobatics (Extended Abstract).

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning.

Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Deep Drone Racing: From Simulation to Reality With Domain Randomization.

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

IEEE Trans. Robotics, 2020

Deep Drone Acrobatics.

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

Proceedings of the Robotics: Science and Systems XVI, 2020

Flightmare: A Flexible Quadrotor Simulator.

Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza

Proceedings of the 4th Conference on Robot Learning, 2020

2019

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

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.

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

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Rapid exploration with multi-rotors: A frontier selection method for high speed flight.

Titus Cieslewski, Elia Kaufmann, Davide Scaramuzza

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017