Deep Drone Racing: Learning Agile Flight in Dynamic Environments

22 June 2018

Alexey Dosovitskiy

Papers citing "Deep Drone Racing: Learning Agile Flight in Dynamic Environments"

34 / 34 papers shown

Title
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 84 1 0 24 Jan 2025
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards Fanxing Li Fangyu Sun Tianbao Zhang Danping Zou 39 0 0 24 Jan 2025
Flying through Moving Gates without Full State Estimation Ralf Romer Tim Emmert Angela P. Schoellig 68 0 0 21 Oct 2024
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics Yuang Zhang Yu Hu Yunlong Song Danping Zou Weiyao Lin 43 17 0 15 Jul 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
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 38 28 0 22 Sep 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality Davide Scaramuzza Elia Kaufmann 42 3 0 09 Apr 2023
Neural Volumetric Memory for Visual Locomotion Control Ruihan Yang Ge Yang Xiaolong Wang 23 53 0 03 Apr 2023
Legged Locomotion in Challenging Terrains using Egocentric Vision Ananye Agarwal Ashish Kumar Jitendra Malik Deepak Pathak 34 207 0 14 Nov 2022
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training Rogerio Bonatti Sai H. Vemprala Shuang Ma Felipe Vieira Frujeri Shuhang Chen Ashish Kapoor 39 22 0 22 Sep 2022
Learning Fast and Precise Pixel-to-Torque Control Steffen Bleher Steve Heim Sebastian Trimpe 27 2 0 03 Aug 2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations Jing Wu Ran Tao Pan Zhao N. F. Martin N. Hovakimyan OffRL 33 44 0 21 Apr 2022
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight Elia Kaufmann L. Bauersfeld Davide Scaramuzza 43 70 0 22 Feb 2022
Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions Andrew W. Singletary A. Swann Yuxiao Chen Aaron D. Ames 32 48 0 12 Jan 2022
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues Klaas Kelchtermans Tinne Tuytelaars 19 2 0 08 Jan 2022
Invariance Through Latent Alignment Takuma Yoneda Ge Yang Matthew R. Walter Bradly C. Stadie OOD 23 9 0 15 Dec 2021
Combining optimal control and learning for autonomous aerial navigation in novel indoor environments Kevin Lin Brian Huo Megan Hu 21 0 0 07 Dec 2021
$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 48 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 24 6 0 03 Dec 2021
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing Théo Morales Andriy Sarabakha Erdal Kayacan 16 11 0 06 Aug 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor Varun Tolani Somil Bansal Aleksandra Faust Claire Tomlin 17 39 0 20 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
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty Tom Hirshberg Sai H. Vemprala Ashish Kapoor 23 3 0 22 Jan 2020
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC Keuntaek Lee Jason Gibson Evangelos A. Theodorou 33 31 0 07 Jan 2020
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 19 30 0 09 Dec 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 31 290 0 16 Jul 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 36 209 0 21 May 2019
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing Matthias Muller Guohao Li Vincent Casser Neil G. Smith D. L. Michels Guohao Li 15 13 0 18 Apr 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 25 20 0 27 Feb 2019
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing Elia Kaufmann Mathias Gehrig Philipp Foehn René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 25 129 0 15 Oct 2018
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 812 0 13 Nov 2016