Control of a Quadrotor with Reinforcement Learning

17 July 2017

Jemin Hwangbo

Inkyu Sa

Roland Siegwart

Marco Hutter

ArXiv PDF HTML

Papers citing "Control of a Quadrotor with Reinforcement Learning"

50 / 60 papers shown

Title
Depth-Constrained ASV Navigation with Deep RL and Limited Sensing Amirhossein Zhalehmehrabi Daniele Meli Francesco Dal Santo Francesco Trotti Alessandro Farinelli 29 0 0 25 Apr 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation Adam Labiosa Josiah P. Hanna 56 0 0 07 Mar 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu Chao Yu Chao Yu Huining Yuan Xiangmin Yi ... Wenhao Tang Yu-Xiang Wang Wenbo Ding Xiusi Chen Yu Wang 151 0 0 04 Feb 2025
Environment as Policy: Learning to Race in Unseen Tracks Hongze Wang Jiaxu Xing Nico Messikommer Davide Scaramuzza 34 1 0 29 Oct 2024
Learning Quadrotor Control From Visual Features Using Differentiable Simulation Johannes Heeg Yunlong Song Davide Scaramuzza 48 6 0 21 Oct 2024
Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning Wei Xiao Zhaohan Feng Ziyu Zhou Jian Sun Gang Wang Jie Chen 43 1 0 28 Jun 2024
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 47 1 0 21 Jun 2024
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays Bo Xia Yilun Kong Yongzhe Chang Bo Yuan Zhiheng Li Xueqian Wang Bin Liang OffRL 55 3 0 05 Jun 2024
A Survey of Offline and Online Learning-Based Algorithms for Multirotor UAVs Serhat Sönmez M. J. Rutherford K. Valavanis 36 5 0 06 Feb 2024
End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight Robin Ferede Christophe De Wagter Dario Izzo Guido C. H. E de Croon 33 9 0 28 Nov 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 41 28 0 22 Sep 2023
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning Hoang-Giang Cao I. Lee Bo-Jiun Hsu Zheng-Yi Lee Yu-Wei Shih Hsueh-Cheng Wang I-Chen Wu 32 2 0 17 Jul 2023
Learning Agile Flights through Narrow Gaps with Varying Angles using Onboard Sensing Yuhan Xie M. Lu Rui Peng Peng-Chen Lu 31 9 0 22 Feb 2023
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors Boyuan Deng Jian Sun Zhuo Li G. Wang 39 0 0 13 Feb 2023
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization Mohammad Hossein Modirrousta M. A. Shoorehdeli M. Yari Arash Ghahremani AI4CE 37 0 0 10 Jan 2023
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality Sridhar Pandian Arunachalam Irmak Güzey Soumith Chintala Lerrel Pinto 45 69 0 12 Oct 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning Péter Antal Tamás Péni R. Tóth 45 8 0 29 Sep 2022
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems Nicholas Rober Sydney M. Katz Chelsea Sidrane Esen Yel Michael Everett Mykel J. Kochenderfer Jonathan P. How 35 26 0 28 Sep 2022
Safe Drone Flight with Time-Varying Backup Controllers Andrew W. Singletary A. Swann I. D. Rodriguez Aaron D. Ames 30 6 0 11 Jul 2022
Retro-RL: Reinforcing Nominal Controller With Deep Reinforcement Learning for Tilting-Rotor Drones Aswin Nahrendra Christian Tirtawardhana Byeong-Uk Yu E. Lee Hyunsam Myung OffRL 24 8 0 07 Jul 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models Zhongyu Li Jun Zeng A. Thirugnanam Koushil Sreenath 29 16 0 11 May 2022
Learning Minimum-Time Flight in Cluttered Environments Robert Pěnička Yunlong Song Elia Kaufmann Davide Scaramuzza 29 50 0 28 Mar 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning Q. Sun Jinbao Fang Weixing Zheng Yang Tang 19 27 0 26 Mar 2022
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight Elia Kaufmann L. Bauersfeld Davide Scaramuzza 46 70 0 22 Feb 2022
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control Killian Dally E. Kampen 27 16 0 16 Feb 2022
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning Yuan Tian Minghao Han Chetan S. Kulkarni Olga Fink 25 13 0 20 Jan 2022
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge Tomáš Rouček M. Pecka P. Čížek T. Petříček J. Bayer ... J. Faigl Karel Zimmermann Martin Saska Tomáš Svoboda T. Krajník 69 35 0 12 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 26 8 0 05 Oct 2021
Lyapunov-stable neural-network control Hongkai Dai Benoit Landry Lujie Yang Marco Pavone Russ Tedrake 26 119 0 29 Sep 2021
Autonomous Blimp Control using Deep Reinforcement Learning Y. Liu Eric Price Pascal Goldschmid Michael J. Black Aamir Ahmad AI4CE 32 3 0 22 Sep 2021
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability Soumyabrata Talukder Ratnesh Kumar 18 7 0 13 Sep 2021
Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning Hyungyu Lee Myeongwoo Jeong Chanyoung Kim Hyungtae Lim Changgue Park Sungwon Hwang Hyun Myung 22 4 0 11 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 31 38 0 31 Jul 2021
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation Yujie Tang Liang Hu Qingrui Zhang Wei Pan 16 15 0 25 Jul 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 20 57 0 11 Jul 2021
Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning Guillaume Bellegarda Yiyu Chen Zhuochen Liu Quan Nguyen 34 44 0 11 Mar 2021
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 33 25 0 26 Nov 2020
Robust Quadruped Jumping via Deep Reinforcement Learning Guillaume Bellegarda Chuong H. Nguyen Quan Nguyen 32 63 0 13 Nov 2020
Reinforcement Learning with Random Delays Simon Ramstedt Yann Bouteiller Giovanni Beltrame C. Pal Jonathan Binas 130 59 0 06 Oct 2020
Flightmare: A Flexible Quadrotor Simulator Yunlong Song Selim Naji Elia Kaufmann Antonio Loquercio Davide Scaramuzza 15 173 0 01 Sep 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning Florian Fuchs Yunlong Song Elia Kaufmann Davide Scaramuzza Peter Dürr 26 124 0 18 Aug 2020
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning Teng Liu Wenhao Tan Xiaolin Tang Jiaxin Chen Dongpu Cao 6 4 0 24 Jul 2020
Deep Drone Acrobatics Elia Kaufmann Antonio Loquercio René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 33 148 0 10 Jun 2020
Machine learning and control engineering: The model-free case M. Fliess Cédric Join 23 13 0 10 Jun 2020
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling Tegg Taekyong Sung J. Ha Jeewoo Kim Alex Yahja Chae-Bong Sohn Bo Ryu 21 9 0 15 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 42 63 0 11 May 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties Qingrui Zhang Wei Pan V. Reppa 8 21 0 30 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 39 37 0 19 Mar 2020
AirSim Drone Racing Lab Ratnesh Madaan N. Gyde Sai H. Vemprala Matthew Brown Keiko Nagami Tim Taubner E. Cristofalo Davide Scaramuzza Mac Schwager Ashish Kapoor 19 74 0 12 Mar 2020
Real-Time Reinforcement Learning Simon Ramstedt C. Pal AI4CE 19 62 0 11 Nov 2019