| Flightmare: A Flexible Quadrotor Simulator Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza Conference on Robot Learning (CoRL), 2020 | 168 | 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 | 165 | 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 | 121 | 2020 |
| 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 | 70 | 2022 |
| 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 | 66 | 2021 |
| Policy Search for Model Predictive Control with Application to Agile Drone Flight Y Song, D Scaramuzza IEEE Transactions on Robotics 38 (4), 2114-2130, 2022 | 61 | 2022 |
| Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning Y Song, A Romero, M Müller, V Koltun, D Scaramuzza Science Robotics 8 (82), eadg1462, 2023 | 42 | 2023 |
| Learning Minimum-Time Flight in Cluttered Environments R Penicka, Y Song, E Kaufmann, D Scaramuzza IEEE Robotics and Automation Letters (RAL), 2022 | 34 | 2022 |
| Autonomous Drone Racing: A Survey D Hanover, A Loquercio, L Bauersfeld, A Romero, R Penicka, Y Song, ... arXiv, 2023 | 29* | 2023 |
| Learning High-level Policies for Model Predictive Control Y Song, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2020 | 28 | 2020 |
| Information-Loss-Bounded Policy Optimization Y Song Springer, 85-95, 2021 | 23* | 2021 |
| 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 | 22* | 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), 2023 | 14 | 2023 |
| Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing J Fu, Y Song, Y Wu, F Yu, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 7 | 2023 |
| Weighted Maximum Likelihood for Controller Tuning A Romero, S Govil, G Yilmaz, Y Song, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2023 | 7 | 2023 |
| Actor-Critic Model Predictive Control A Romero, Y Song, D Scaramuzza 2024 IEEE International Conference on Robotics and Automation (ICRA), 2023 | 6 | 2023 |
| 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), 2023 | 1 | 2023 |
| Learning Quadruped Locomotion Using Differentiable Simulation Y Song, S Kim, D Scaramuzza arXiv preprint arXiv:2403.14864, 2024 | | 2024 |
| Flymation: Interactive Animation for Flying Robots Y Song, D Scaramuzza arXiv preprint arXiv:2310.11659, 2023 | | 2023 |
| Learning to Walk and Fly with Adversarial Motion Priors G L'Erario, D Hanover, A Romero, Y Song, G Nava, PM Viceconte, ... arXiv preprint arXiv:2309.12784, 2023 | | 2023 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
