| Flightmare: A Flexible Quadrotor Simulator Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza Conference on Robot Learning (CoRL), 2020 | 93 | 2020 |
| Autonomous Drone Racing with Deep Reinforcement Learning Y Song, M Steinweg, E Kaufmann, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 92 | 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 (RAL), 2020 | 70 | 2020 |
| Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning Y Song, HC Lin, E Kaufmann, P Duerr, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2021 | 34 | 2021 |
| Policy Search for Model Predictive Control With Application to Agile Drone Flight Y Song, D Scaramuzza IEEE Transactions on Robotics (T-RO), 2022 | 28 | 2022 |
| 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 | 26 | 2022 |
| Learning high-level policies for model predictive control Y Song, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2020 | 20 | 2020 |
| Information-Loss-Bounded Policy Optimization Y Song Springer, 85-95, 2021 | 16* | 2021 |
| Learning Minimum-Time Flight in Cluttered Environments R Penicka, Y Song, E Kaufmann, D Scaramuzza IEEE Robotics and Automation Letters (RAL), 2022 | 14 | 2022 |
| Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions] X Xiao, Z Xu, Z Wang, Y Song, G Warnell, P Stone, T Zhang, S Ravi, ... IEEE Robotics & Automation Magazine 29 (4), 148-156, 2022 | 6* | 2022 |
| Autonomous Drone Racing: A Survey D Hanover, A Loquercio, L Bauersfeld, A Romero, R Penicka, Y Song, ... arXiv preprint arXiv:2301.01755, 2023 | 4 | 2023 |
| Learning deep sensorimotor policies for vision-based autonomous drone racing J Fu, Y Song, Y Wu, F Yu, D Scaramuzza arXiv preprint arXiv:2210.14985, 2022 | 3 | 2022 |
| Weighted Maximum Likelihood for Controller Tuning A Romero, S Govil, G Yilmaz, Y Song, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2022 | 2 | 2022 |
| Learning Perception-Aware Agile Flight in Cluttered Environments Y Song, K Shi, R Penicka, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2022 | 2 | 2022 |
| Flymation: Interactive Animation for Flying Robots Y Song, D Scaramuzza ICRA workshop, 0 | | |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichПотвърден имейл адрес: ifi.uzh.ch
