Követés
Elia Kaufmann
Elia Kaufmann
Skydio
E-mail megerősítve itt: skydio.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Champion-level drone racing using deep reinforcement learning
E Kaufmann, L Bauersfeld, A Loquercio, M Müller, V Koltun, ...
Nature 620 (7976), 982-987, 2023
4762023
Learning high-speed flight in the wild
A Loquercio, E Kaufmann, R Ranftl, M Müller, V Koltun, D Scaramuzza
Science Robotics 6 (59), eabg5810, 2021
3252021
Data-Driven MPC for Quadrotors
G Torrente, E Kaufmann, P Föhn, D Scaramuzza
IEEE Robotics and Automation Letters, 2021
2982021
Deep drone racing: From simulation to reality with domain randomization
A Loquercio, E Kaufmann, R Ranftl, A Dosovitskiy, V Koltun, ...
IEEE Transactions on Robotics 36 (1), 1-14, 2019
2652019
Rapid exploration with multi-rotors: A frontier selection method for high speed flight
T Cieslewski, E Kaufmann, D Scaramuzza
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
2552017
Flightmare: A Flexible Quadrotor Simulator
Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza
2020 Conference on Robot Learning (CoRL), 2020
2542020
Autonomous Drone Racing with Deep Reinforcement Learning
Y Song, M Steinweg, E Kaufmann, D Scaramuzza
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
2232021
A comparative study of nonlinear mpc and differential-flatness-based control for quadrotor agile flight
S Sun, A Romero, P Foehn, E Kaufmann, D Scaramuzza
IEEE Transactions on Robotics, 2021
1922021
Deep Drone Acrobatics
E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza
2020 Robotics: Science and Systems (RSS), 2020
1902020
Deep drone racing: Learning agile flight in dynamic environments
E Kaufmann, A Loquercio, R Ranftl, A Dosovitskiy, V Koltun, ...
2018 Conference on Robot Learning (CoRL), 2018
1862018
AlphaPilot: Autonomous Drone Racing
P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ...
2020 Robotics: Science and Systems (RSS), 2020
1842020
Beauty and the beast: Optimal methods meet learning for drone racing
E Kaufmann, M Gehrig, P Foehn, R Ranftl, A Dosovitskiy, V Koltun, ...
2019 International Conference on Robotics and Automation (ICRA), 690-696, 2019
1712019
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
F Fuchs, Y Song, E Kaufmann, D Scaramuzza, P Duerr
IEEE Robotics and Automation Letters, 2020
1652020
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors
D Hanover, P Foehn, S Sun, E Kaufmann, D Scaramuzza
IEEE Robotics and Automation Letters, 2021
1382021
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight
P Foehn, E Kaufmann, A Romero, R Penicka, S Sun, L Bauersfeld, ...
Science Robotics 7 (67), eabl6259, 2022
1242022
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
T Salzmann, E Kaufmann, J Arrizabalaga, M Pavone, D Scaramuzza, ...
IEEE Robotics and Automation Letters 8 (4), 2397-2404, 2023
1202023
NeuroBEM: Hybrid Aerodynamic Quadrotor Model
L Bauersfeld, E Kaufmann, P Foehn, S Sun, D Scaramuzza
2021 Robotics: Science and Systems (RSS), 2021
1112021
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning
Y Song, HC Lin, E Kaufmann, P Duerr, D Scaramuzza
2021 International Conference on Robotics and Automation (ICRA), 2021
982021
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight
E Kaufmann, L Bauersfeld, D Scaramuzza
2022 International Conference on Robotics and Automation (ICRA), 2022
832022
Autonomous drone racing: A survey
D Hanover, A Loquercio, L Bauersfeld, A Romero, R Penicka, Y Song, ...
IEEE Transactions on Robotics, 2024
762024
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