Следене
Yunlong Song
Yunlong Song
Потвърден имейл адрес: ifi.uzh.ch - Начална страница
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Позовавания
Година
Flightmare: A Flexible Quadrotor Simulator
Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza
Conference on Robot Learning (CoRL), 2020
1682020
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
1642021
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
1212020
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
702022
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
652021
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
602022
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
422023
Learning Minimum-Time Flight in Cluttered Environments
R Penicka, Y Song, E Kaufmann, D Scaramuzza
IEEE Robotics and Automation Letters (RAL), 2022
332022
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
272020
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
142023
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
72023
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
72023
Actor-Critic Model Predictive Control
A Romero, Y Song, D Scaramuzza
2024 IEEE International Conference on Robotics and Automation (ICRA), 2023
62023
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
12023
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
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