Elia Kaufmann | DeepAI

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Alexey Dosovitskiy
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René Ranftl
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Antonio Loquercio
20 publications
Matthias Müller
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Mathias Gehrig
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Robert Penicka
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Philipp Foehn
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∙ 07/12/2023

Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight

Autonomous, agile quadrotor flight raises fundamental challenges for rob...

0 Philipp Foehn, et al. ∙

∙ 04/09/2023

Learning Agile, Vision-based Drone Flight: from Simulation to Reality

We present our latest research in learning deep sensorimotor policies fo...

0 Davide Scaramuzza, et al. ∙

∙ 01/04/2023

Autonomous Drone Racing: A Survey

Over the last decade, the use of autonomous drone systems for surveying,...

0 Drew Hanover, et al. ∙

∙ 11/22/2022

User-Conditioned Neural Control Policies for Mobile Robotics

Recently, learning-based controllers have been shown to push mobile robo...

0 Leonard Bauersfeld, et al. ∙

∙ 10/27/2022

Learned Inertial Odometry for Autonomous Drone Racing

Inertial odometry is an attractive solution to the problem of state esti...

0 Giovanni Cioffi, et al. ∙

∙ 03/28/2022

Learning Minimum-Time Flight in Cluttered Environments

We tackle the problem of minimum-time flight for a quadrotor through a s...

0 Robert Penicka, et al. ∙

∙ 03/15/2022

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms

Model Predictive Control (MPC) has become a popular framework in embedde...

0 Tim Salzmann, et al. ∙

∙ 02/22/2022

A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight

Quadrotors are highly nonlinear dynamical systems that require carefully...

0 Elia Kaufmann, et al. ∙

∙ 10/11/2021

Learning High-Speed Flight in the Wild

Quadrotors are agile. Unlike most other machines, they can traverse extr...

0 Antonio Loquercio, et al. ∙

∙ 09/09/2021

Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors

Agile quadrotor flight in challenging environments has the potential to ...

0 Drew Hanover, et al. ∙

∙ 09/03/2021

A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight

Accurate trajectory tracking control for quadrotors is essential for saf...

0 Sihao Sun, et al. ∙

∙ 06/15/2021

NeuroBEM: Hybrid Aerodynamic Quadrotor Model

Quadrotors are extremely agile, so much in fact, that classic first-prin...

0 Leonard Bauersfeld, et al. ∙

∙ 03/26/2021

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning

Professional race car drivers can execute extreme overtaking maneuvers. ...

0 Yunlong Song, et al. ∙

∙ 03/15/2021

Autonomous Drone Racing with Deep Reinforcement Learning

In many robotic tasks, such as drone racing, the goal is to travel throu...

0 Yunlong Song, et al. ∙

∙ 02/10/2021

Data-Driven MPC for Quadrotors

Aerodynamic forces render accurate high-speed trajectory tracking with q...

0 Guillem Torrente, et al. ∙

∙ 09/01/2020

Flightmare: A Flexible Quadrotor Simulator

Currently available quadrotor simulators have a rigid and highly-special...

11 Yunlong Song, et al. ∙

∙ 08/18/2020

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

Autonomous car racing raises fundamental robotics challenges such as pla...

15 Florian Fuchs, et al. ∙

∙ 06/10/2020

Deep Drone Acrobatics

Performing acrobatic maneuvers with quadrotors is extremely challenging....

0 Elia Kaufmann, et al. ∙

∙ 05/26/2020

AlphaPilot: Autonomous Drone Racing

This paper presents a novel system for autonomous, vision-based drone ra...

14 Philipp Foehn, et al. ∙

∙ 05/21/2019

Deep Drone Racing: From Simulation to Reality with Domain Randomization

Dynamically changing environments, unreliable state estimation, and oper...

0 Antonio Loquercio, et al. ∙

∙ 10/15/2018

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

Autonomous micro aerial vehicles still struggle with fast and agile mane...

0 Elia Kaufmann, et al. ∙

∙ 06/22/2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Autonomous agile flight brings up fundamental challenges in robotics, su...

0 Elia Kaufmann, et al. ∙

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