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Leonard Bauersfeld
Leonard Bauersfeld
PhD Student, UZH Zurich
Verified email at uzh.ch
Title
Cited by
Cited by
Year
Champion-level drone racing using deep reinforcement learning
E Kaufmann, L Bauersfeld, A Loquercio, M Müller, V Koltun, ...
Nature 620 (7976), 982-987, 2023
3302023
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
1002022
NeuroBEM: Hybrid Aerodynamic Quadrotor Model
L Bauersfeld, E Kaufmann, P Foehn, S Sun, D Scaramuzza
2021 Robotics: Science and Systems (RSS), 2021
902021
MPC flight control for a tilt-rotor VTOL aircraft
L Bauersfeld, L Spannagl, GJJ Ducard, CH Onder
IEEE Transactions on Aerospace and Electronic Systems 57 (4), 2395-2409, 2021
872021
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), 10504-10510, 2022
652022
Autonomous drone racing: A survey
D Hanover, A Loquercio, L Bauersfeld, A Romero, R Penicka, Y Song, ...
IEEE Transactions on Robotics, 2024
492024
Range, endurance, and optimal speed estimates for multicopters
L Bauersfeld, D Scaramuzza
IEEE Robotics and Automation Letters 7 (2), 2953-2960, 2022
472022
Learned inertial odometry for autonomous drone racing
G Cioffi, L Bauersfeld, E Kaufmann, D Scaramuzza
IEEE Robotics and Automation Letters 8 (5), 2684-2691, 2023
192023
Event-based shape from polarization
M Muglikar, L Bauersfeld, DP Moeys, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
192023
Fused-PID control for tilt-rotor VTOL aircraft
L Bauersfeld, G Ducard
2020 28th Mediterranean Conference on Control and Automation (MED), 703-708, 2020
152020
Hdvio: Improving localization and disturbance estimation with hybrid dynamics vio
G Cioffi, L Bauersfeld, D Scaramuzza
arXiv preprint arXiv:2306.11429, 2023
122023
Cracking double-blind review: Authorship attribution with deep learning
L Bauersfeld, A Romero, M Muglikar, D Scaramuzza
Plos one 18 (6), e0287611, 2023
112023
Contrastive learning for enhancing robust scene transfer in vision-based agile flight
J Xing, L Bauersfeld, Y Song, C Xing, D Scaramuzza
2024 IEEE International Conference on Robotics and Automation (ICRA), 5330-5337, 2024
92024
Low-cost 3D laser design and evaluation with mapping techniques review
L Bauersfeld, G Ducard
2019 IEEE Sensors Applications Symposium (SAS), 1-6, 2019
72019
Neurobem: Hybrid aerodynamic quadrotor model. arXiv 2021
L Bauersfeld, E Kaufmann, P Foehn, S Sun, D Scaramuzza
arXiv preprint arXiv:2106.08015, 0
6
Demonstrating Agile Flight from Pixels without State Estimation
I Geles, L Bauersfeld, A Romero, J Xing, D Scaramuzza
arXiv preprint arXiv:2406.12505, 2024
52024
User-conditioned neural control policies for mobile robotics
L Bauersfeld, E Kaufmann, D Scaramuzza
2023 IEEE International Conference on Robotics and Automation (ICRA), 1342-1348, 2023
52023
Bootstrapping reinforcement learning with imitation for vision-based agile flight
J Xing, A Romero, L Bauersfeld, D Scaramuzza
arXiv preprint arXiv:2403.12203, 2024
42024
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics
M Krinner, A Romero, L Bauersfeld, M Zeilinger, A Carron, D Scaramuzza
arXiv preprint arXiv:2403.17551, 2024
32024
Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor
L Bauersfeld, K Muller, D Ziegler, F Coletti, D Scaramuzza
arXiv preprint arXiv:2403.13321, 2024
22024
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