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ORCIDElia Kaufmann
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2020 – today
- 2024
[j13]Drew Hanover
, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. IEEE Trans. Robotics 40: 3044-3067 (2024)- 2023
- [j12]Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Champion-level drone racing using deep reinforcement learning. Nat. 620(7976): 982-987 (2023) - [j11]Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8(4): 2397-2404 (2023) - [j10]Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
Learned Inertial Odometry for Autonomous Drone Racing. IEEE Robotics Autom. Lett. 8(5): 2684-2691 (2023) - [c13]Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
User-Conditioned Neural Control Policies for Mobile Robotics. ICRA 2023: 1342-1348 - [i22]Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. CoRR abs/2301.01755 (2023) - [i21]Davide Scaramuzza, Elia Kaufmann:
Learning Agile, Vision-based Drone Flight: from Simulation to Reality. CoRR abs/2304.04128 (2023) - [i20]Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza:
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight. CoRR abs/2307.06100 (2023) - 2022
- [j9]Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: autonomous drone racing. Auton. Robots 46(1): 307-320 (2022) - [j8]Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza:
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. IEEE Robotics Autom. Lett. 7(2): 690-697 (2022) - [j7]Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza:
Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7(3): 7209-7216 (2022) - [j6]Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza:
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. Sci. Robotics 7(67) (2022) - [j5]Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza:
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. IEEE Trans. Robotics 38(6): 3357-3373 (2022) - [c12]Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza:
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. ICRA 2022: 10504-10510 - [c11]Davide Scaramuzza, Elia Kaufmann:
Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. ISRR 2022: 11-18 - [i19]Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza:
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. CoRR abs/2202.10796 (2022) - [i18]Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. CoRR abs/2203.07747 (2022) - [i17]Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza:
Learning Minimum-Time Flight in Cluttered Environments. CoRR abs/2203.15052 (2022) - [i16]Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
Learned Inertial Odometry for Autonomous Drone Racing. CoRR abs/2210.15287 (2022) - [i15]Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
User-Conditioned Neural Control Policies for Mobile Robotics. CoRR abs/2211.12181 (2022) - 2021
- [j4]Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza:
Data-Driven MPC for Quadrotors. IEEE Robotics Autom. Lett. 6(2): 3769-3776 (2021) - [j3]Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr:
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6(3): 4257-4264 (2021) - [j2]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning high-speed flight in the wild. Sci. Robotics 6(59) (2021) - [c10]Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza:
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. ICRA 2021: 9403-9409 - [c9]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics (Extended Abstract). IJCAI 2021: 4780-4783 - [c8]Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing with Deep Reinforcement Learning. IROS 2021: 1205-1212 - [c7]Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn, Sihao Sun, Davide Scaramuzza:
NeuroBEM: Hybrid Aerodynamic Quadrotor Model. Robotics: Science and Systems 2021 - [d1]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). Zenodo, 2021
- [i14]Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza:
Data-Driven MPC for Quadrotors. CoRR abs/2102.05773 (2021) - [i13]Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing with Deep Reinforcement Learning. CoRR abs/2103.08624 (2021) - [i12]Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza:
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. CoRR abs/2103.14666 (2021) - [i11]Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn, Sihao Sun, Davide Scaramuzza:
NeuroBEM: Hybrid Aerodynamic Quadrotor Model. CoRR abs/2106.08015 (2021) - [i10]Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza:
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. CoRR abs/2109.01365 (2021) - [i9]Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza:
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. CoRR abs/2109.04210 (2021) - [i8]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning High-Speed Flight in the Wild. CoRR abs/2110.05113 (2021) - 2020
- [j1]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36(1): 1-14 (2020) - [c6]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRL 2020: 1147-1157 - [c5]Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: Autonomous Drone Racing. Robotics: Science and Systems 2020 - [c4]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. Robotics: Science and Systems 2020 - [i7]Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: Autonomous Drone Racing. CoRR abs/2005.12813 (2020) - [i6]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. CoRR abs/2006.05768 (2020) - [i5]Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr:
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. CoRR abs/2008.07971 (2020) - [i4]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRR abs/2009.00563 (2020)
2010 – 2019
- 2019
- [c3]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA 2019: 690-696 - [i3]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - 2018
- [c2]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [i2]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - [i1]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR abs/1810.06224 (2018) - 2017
- [c1]Titus Cieslewski, Elia Kaufmann, Davide Scaramuzza:
Rapid exploration with multi-rotors: A frontier selection method for high speed flight. IROS 2017: 2135-2142
Coauthor Index
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last updated on 2024-12-10 20:46 CET by the dblp team
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