| Flightmare: A Flexible Quadrotor Simulator Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza Conference on Robot Learning (CoRL), 2020 | 237 | 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 | 219 | 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 | 155 | 2020 |
| 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 | 123 | 2023 |
| 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 | 107 | 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 | 89 | 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 | 86 | 2022 |
| Autonomous Drone Racing: A Survey D Hanover, A Loquercio, L Bauersfeld, A Romero, R Penicka, Y Song, ... IEEE Transactions on Robotics, 2023 | 60 | 2023 |
| Learning Minimum-Time Flight in Cluttered Environments R Penicka, Y Song, E Kaufmann, D Scaramuzza IEEE Robotics and Automation Letters (RAL), 2022 | 50 | 2022 |
| Learning High-level Policies for Model Predictive Control Y Song, D Scaramuzza IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2020 | 34 | 2020 |
| 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 | 33* | 2022 |
| Actor-Critic Model Predictive Control A Romero, Y Song, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2023 | 31 | 2023 |
| Information-Loss-Bounded Policy Optimization Y Song Springer, 85-95, 2021 | 28* | 2021 |
| 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 | 27 | 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 | 19 | 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 | 15 | 2023 |
| Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight J Xing, L Bauersfeld, Y Song, C Xing, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2023 | 11 | 2023 |
| Learning Quadruped Locomotion Using Differentiable Simulation Y Song, S Kim, D Scaramuzza 8th Annual Conference on Robot Learning (CoRL), 2024 | 6 | 2024 |
| Contrastive Initial State Buffer for Reinforcement Learning N Messikommer, Y Song, D Scaramuzza IEEE International Conference on Robotics and Automation (ICRA), 2023 | 6 | 2023 |
| Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics Y Zhang, Y Hu, Y Song, D Zou, W Lin arXiv preprint arXiv:2407.10648, 2024 | 5 | 2024 |
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
