Deep Drone Racing: From Simulation to Reality with Domain Randomization

21 May 2019

Alexey Dosovitskiy

Papers citing "Deep Drone Racing: From Simulation to Reality with Domain Randomization"

34 / 34 papers shown

Title
Model-based controller assisted domain randomization in deep reinforcement learning: application to nonlinear powertrain control Heisei Yonezawa Ansei Yonezawa Itsuro Kajiwara 36 0 0 28 Apr 2025
Multi-visual modality micro drone-based structural damage detection Isaac Osei Agyemanga Liaoyuan Zeng Jianwen Chena Isaac Adjei-Mensah D. Acheampong 57 5 0 15 Jan 2025
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics Yuang Zhang Yu Hu Yunlong Song Danping Zou Weiyao Lin 38 17 0 15 Jul 2024
Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments Zhaohan Feng Jie Chen Wei Xiao Jian-jun Sun Bin Xin Gang Wang 40 2 0 18 Jan 2024
Learning Agile, Vision-based Drone Flight: from Simulation to Reality Davide Scaramuzza Elia Kaufmann 34 3 0 09 Apr 2023
DDCNN: A Promising Tool for Simulation-To-Reality UAV Fault Diagnosis Wei Zhang Shanze Wang Junjie Tong F. Liao Yunfeng Zhang Xiaoyu Shen 14 2 0 16 Feb 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 21 14 0 09 Feb 2023
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications Jeonghoon Lee M. Michelis Robert K. Katzschmann Zachary Manchester 19 4 0 17 Jan 2023
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis Kaustav Chakraborty Somil Bansal 28 11 0 04 Nov 2022
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning Andrea Tagliabue Jonathan P. How 19 5 0 18 Oct 2022
Vision-based Perimeter Defense via Multiview Pose Estimation Elijah S. Lee Giuseppe Loianno Dinesh Jayaraman Vijay R. Kumar AAML 11 2 0 25 Sep 2022
RGB-X Classification for Electronics Sorting Abhimanyu Fnu T. Zodage Umesh Thillaivasan Xinyue Lai Rahul Chakwate ... E. Oti Ming Zhao Ralph Boirum Howie Choset Matthew Travers 21 1 0 08 Sep 2022
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs H. Müller Vlad Niculescu T. Polonelli Michele Magno Luca Benini 27 29 0 26 Aug 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach Edoardo Ghignone Nicolas Baumann Mike Boss Michele Magno 26 13 0 19 May 2022
Learning Minimum-Time Flight in Cluttered Environments Robert Pěnička Yunlong Song Elia Kaufmann Davide Scaramuzza 21 50 0 28 Mar 2022
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation Marco Rosano Antonino Furnari Luigi Gulino C. Santoro G. Farinella EgoV 39 5 0 02 Feb 2022
$Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control$ Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control Y. Cheng Penghui Zhao F. Wang D. Block N. Hovakimyan 42 8 0 03 Dec 2021
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU Nicholas Polosky Tyler Gwin Sean Furman Parth Barhanpurkar Jithin Jagannath 19 6 0 03 Dec 2021
Learning Interactive Driving Policies via Data-driven Simulation Tsun-Hsuan Wang Alexander Amini Wilko Schwarting Igor Gilitschenski S. Karaman Daniela Rus 19 20 0 23 Nov 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization Marco Ferri Dario Mantegazza Elia Cereda Nicky Zimmerman L. Gambardella Daniele Palossi Jérôme Guzzi Alessandro Giusti 24 0 0 27 Oct 2021
Learning High-Speed Flight in the Wild Antonio Loquercio Elia Kaufmann René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 38 284 0 11 Oct 2021
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition C. De Wagter Federico Paredes-Valles N. Sheth Guido de Croon 20 18 0 30 Sep 2021
Time-Optimal Planning for Quadrotor Waypoint Flight Philipp Foehn Angel Romero Davide Scaramuzza 29 185 0 10 Aug 2021
MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization Masakazu Yoshimura M. M. Marinho K. Harada M. Mitsuishi 27 5 0 15 Mar 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 22 115 0 02 Jan 2021
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 25 24 0 26 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 26 12 0 20 Nov 2020
Flightmare: A Flexible Quadrotor Simulator Yunlong Song Selim Naji Elia Kaufmann Antonio Loquercio Davide Scaramuzza 13 173 0 01 Sep 2020
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing Théo Morales Andriy Sarabakha Erdal Kayacan 14 11 0 06 Aug 2020
Deep Drone Acrobatics Elia Kaufmann Antonio Loquercio René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 25 148 0 10 Jun 2020
TartanAir: A Dataset to Push the Limits of Visual SLAM Wenshan Wang Delong Zhu Xiangwei Wang Yaoyu Hu Yuheng Qiu Chen Wang Yafei Hu Ashish Kapoor S. Scherer 16 362 0 31 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 29 37 0 19 Mar 2020
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 223 809 0 13 Nov 2016