| Champion-level drone racing using deep reinforcement learning E Kaufmann, L Bauersfeld, A Loquercio, M Müller, V Koltun, ... Nature 620 (7976), 982-987, 2023 | 288 | 2023 |
| 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 | 273 | 2021 |
| 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 | 244 | 2019 |
| Data-Driven MPC for Quadrotors G Torrente, E Kaufmann, P Föhn, D Scaramuzza IEEE Robotics and Automation Letters, 2021 | 242 | 2021 |
| 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 | 224 | 2017 |
| Flightmare: A Flexible Quadrotor Simulator Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza 2020 Conference on Robot Learning (CoRL), 2020 | 211 | 2020 |
| 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 | 199 | 2021 |
| 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 | 177 | 2018 |
| Deep Drone Acrobatics E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza 2020 Robotics: Science and Systems (RSS), 2020 | 167 | 2020 |
| AlphaPilot: Autonomous Drone Racing P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ... 2020 Robotics: Science and Systems (RSS), 2020 | 164 | 2020 |
| 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 | 159 | 2019 |
| 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 | 151 | 2021 |
| 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 | 147 | 2020 |
| 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 | 108 | 2021 |
| 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 | 97 | 2022 |
| 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 | 87 | 2021 |
| NeuroBEM: Hybrid Aerodynamic Quadrotor Model L Bauersfeld, E Kaufmann, P Foehn, S Sun, D Scaramuzza 2021 Robotics: Science and Systems (RSS), 2021 | 86 | 2021 |
| 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 | 82 | 2023 |
| 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 | 61 | 2022 |
| Learning Minimum-Time Flight in Cluttered Environments R Penicka, Y Song, E Kaufmann, D Scaramuzza IEEE Robotics and Automation Letters 7 (3), 7209-7216, 2022 | 49 | 2022 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
