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Autonomous Drone Racing with Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
15 March 2021
Yunlong Song
Mats Steinweg
Elia Kaufmann
Davide Scaramuzza
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Papers citing
"Autonomous Drone Racing with Deep Reinforcement Learning"
50 / 91 papers shown
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Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
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Provably Invincible Adversarial Attacks on Reinforcement Learning Systems: A Rate-Distortion Information-Theoretic Approach
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15 Oct 2025
Learning Robust Agile Flight Control with Stability Guarantees
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Markus Ryll
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A Primer on SO(3) Action Representations in Deep Reinforcement Learning
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Sherif Samy
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13 Oct 2025
Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach
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Prabhash Ragbir
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117
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04 Aug 2025
Decision Transformer-Based Drone Trajectory Planning with Dynamic Safety-Efficiency Trade-Offs
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376
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29 Jul 2025
Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis
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Hongzhan Yu
Ruipeng Zhang
Igor Spasojevic
M. A. Hsieh
Sicun Gao
Vijay Kumar
159
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16 Jun 2025
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
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Zihao Wu
J. Obando-Ceron
Pablo Samuel Castro
Aaron Courville
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29 May 2025
Towards Task-Oriented Flying: Framework, Infrastructure, and Principles
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Yu-Juan Luo
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Huaping Liu
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333
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21 Apr 2025
Deep RL-based Autonomous Navigation of Micro Aerial Vehicles (MAVs) in a complex GPS-denied Indoor Environment
Amit Kumar Singh
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Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
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Elie Aljalbout
Davide Scaramuzza
408
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24 Jan 2025
Multi-Task Reinforcement Learning for Quadrotors
IEEE Robotics and Automation Letters (RA-L), 2024
Jiaxu Xing
Ismail Geles
Yunlong Song
Elie Aljalbout
Davide Scaramuzza
363
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17 Dec 2024
What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
IEEE Robotics and Automation Letters (RA-L), 2024
Jiayu Chen
Chao Yu
Yuqing Xie
Feng Gao
Yinuo Chen
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Shilong Ji
Mo Mu
Yi Wu
H. Yang
Yu Wang
607
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A Universal Formulation for Path-Parametric Planning and Control
Jon Arrizabalaga
Markus Ryll
Zachary Manchester
Markus Ryll
260
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07 Oct 2024
SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks
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Pritam Dash
Ethan Chan
Karthik Pattabiraman
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180
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27 Aug 2024
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2024
Timothy K Johnsen
Ian Harshbarger
Zixia Xia
Marco Levorato
169
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18 Jun 2024
FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation
IEEE Robotics and Automation Letters (RA-L), 2024
Shu-Ang Yu
Chao Yu
Feng Gao
Yi Wu
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378
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Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation
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Davide Scaramuzza
208
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NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
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189
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Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
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Xuan Huy Pham
Savitha Ramasamy
Xudong Jiang
Erdal Kayacan
Andriy Sarabakha
232
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Learning to Boost the Performance of Stable Nonlinear Systems
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C. Galimberti
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184
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01 May 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints
Maria Krinner
Angel Romero
L. Bauersfeld
Melanie Zeilinger
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Davide Scaramuzza
320
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26 Mar 2024
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight
Conference on Robot Learning (CoRL), 2024
Jiaxu Xing
Angel Romero
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Davide Scaramuzza
237
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18 Mar 2024
Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments
Lidia Rocha
Kenny A. Q. Caldas
Marco Henrique Terra
Fabio Ramos
K. Vivaldini
160
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Generalized Multi-Speed Dubins Motion Model
James P. Wilson
Shalabh Gupta
Thomas A. Wettergren
276
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02 Feb 2024
Camouflage Adversarial Attacks on Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
207
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30 Jan 2024
Vision-based Learning for Drones: A Survey
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Jiaping Xiao
Rangya Zhang
Yuhang Zhang
Mir Feroskhan
341
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08 Dec 2023
Learning to Fly in Seconds
IEEE Robotics and Automation Letters (RA-L), 2023
Jonas Eschmann
Dario Albani
Giuseppe Loianno
317
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22 Nov 2023
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
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Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
190
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01 Nov 2023
Flymation: Interactive Animation for Flying Robots
Yunlong Song
Davide Scaramuzza
163
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18 Oct 2023
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
Science Robotics (Sci. Robot.), 2023
Yunlong Song
Angel Romero
Matthias Müller
V. Koltun
Davide Scaramuzza
367
231
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17 Oct 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin
Olivier Sigaud
Jens Kober
Alin Albu-Schäffer
João Silvério
F. Stulp
188
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09 Oct 2023
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Lev Grossman
Brian Plancher
OffRL
207
1
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03 Oct 2023
HyperPPO: A scalable method for finding small policies for robotic control
IEEE International Conference on Robotics and Automation (ICRA), 2023
Luming Tang
Zhehui Huang
Gaurav Sukhatme
230
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28 Sep 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Annual Reviews in Control (ARC), 2023
Muhammad Kazim
JunGee Hong
Min-Gyeom Kim
Kwang-Ki K. Kim
286
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22 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
IEEE Robotics and Automation Letters (RA-L), 2023
Botian Xu
Feng Gao
Chao Yu
Chao Yu
Yi Wu
Yu Wang
268
44
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22 Sep 2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jiaxu Xing
L. Bauersfeld
Yunlong Song
Chunwei Xing
Davide Scaramuzza
419
17
0
18 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Nico Messikommer
Yunlong Song
Davide Scaramuzza
OffRL
351
11
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18 Sep 2023
Learning to Open Doors with an Aerial Manipulator
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Eugenio Cuniato
Ismail Geles
Weixuan Zhang
Olov Andersson
M. Tognon
Roland Siegwart
168
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LiDAR-based drone navigation with reinforcement learning
Paweł Miera
Hubert Szolc
T. Kryjak
175
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Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight
Science Robotics (Sci. Robot.), 2022
Philipp Foehn
Elia Kaufmann
Angel Romero
Robert Pěnička
Sihao Sun
...
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Giovanni Cioffi
Yunlong Song
Antonio Loquercio
Davide Scaramuzza
248
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12 Jul 2023
Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
IEEE International Conference on Robotics and Automation (ICRA), 2023
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Jiaxing Che
Quan Quan
147
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Actor-Critic Model Predictive Control
IEEE International Conference on Robotics and Automation (ICRA), 2023
Angel Romero
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Davide Scaramuzza
511
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Optimality Principles in Spacecraft Neural Guidance and Control
Science Robotics (Sci. Robot.), 2023
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E. Blazquez
Robin Ferede
Sebastien Origer
Christophe De Wagter
Guido C. H. E de Croon
199
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DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
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Arthur Allshire
Gavriel State
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Viktor Makoviychuk
188
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End-to-end Neural Network Based Quadcopter control
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Guido C. H. E de Croon
Christophe De Wagter
Dario Izzo
216
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Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Jiaping Xiao
Mir Feroskhan
AAML
215
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Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment
A. Tasbas
S. O. Sahin
N. K. Üre
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