| 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 | 115 | 2018 |
| 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 | 114 | 2019 |
| 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 | 113 | 2017 |
| 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 | 100 | 2019 |
| Deep Drone Acrobatics E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza 2020 Robotics: Science and Systems (RSS), 2020 | 77 | 2020 |
| AlphaPilot: Autonomous Drone Racing P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ... 2020 Robotics: Science and Systems (RSS), 2020 | 65 | 2020 |
| Data-Driven MPC for Quadrotors G Torrente, E Kaufmann, P Föhn, D Scaramuzza IEEE Robotics and Automation Letters, 2021 | 55 | 2021 |
| Flightmare: A Flexible Quadrotor Simulator Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza 2020 Conference on Robot Learning (CoRL), 2020 | 45 | 2020 |
| 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 | 44 | 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 | 40 | 2021 |
| 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 | 35 | 2021 |
| NeuroBEM: Hybrid Aerodynamic Quadrotor Model L Bauersfeld, E Kaufmann, P Foehn, S Sun, D Scaramuzza 2021 Robotics: Science and Systems (RSS), 2021 | 19 | 2021 |
| 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 | 17 | 2021 |
| 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 | 11 | 2021 |
| 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 | 9 | 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 | 2 | 2022 |
| Learning Minimum-Time Flight in Cluttered Environments R Penicka, Y Song, E Kaufmann, D Scaramuzza arXiv preprint arXiv:2203.15052, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms T Salzmann, E Kaufmann, M Pavone, D Scaramuzza, M Ryll arXiv preprint arXiv:2203.07747, 2022 | | 2022 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
