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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...
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04/09/2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality
We present our latest research in learning deep sensorimotor policies fo...
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01/04/2023
Autonomous Drone Racing: A Survey
Over the last decade, the use of autonomous drone systems for surveying,...
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11/22/2022
User-Conditioned Neural Control Policies for Mobile Robotics
Recently, learning-based controllers have been shown to push mobile robo...
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10/27/2022
Learned Inertial Odometry for Autonomous Drone Racing
Inertial odometry is an attractive solution to the problem of state esti...
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03/28/2022
Learning Minimum-Time Flight in Cluttered Environments
We tackle the problem of minimum-time flight for a quadrotor through a s...
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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...
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02/22/2022
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight
Quadrotors are highly nonlinear dynamical systems that require carefully...
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10/11/2021
Learning High-Speed Flight in the Wild
Quadrotors are agile. Unlike most other machines, they can traverse extr...
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09/09/2021
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors
Agile quadrotor flight in challenging environments has the potential to ...
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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...
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06/15/2021
NeuroBEM: Hybrid Aerodynamic Quadrotor Model
Quadrotors are extremely agile, so much in fact, that classic first-prin...
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03/26/2021
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning
Professional race car drivers can execute extreme overtaking maneuvers. ...
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03/15/2021
Autonomous Drone Racing with Deep Reinforcement Learning
In many robotic tasks, such as drone racing, the goal is to travel throu...
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02/10/2021
Data-Driven MPC for Quadrotors
Aerodynamic forces render accurate high-speed trajectory tracking with q...
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09/01/2020
Flightmare: A Flexible Quadrotor Simulator
Currently available quadrotor simulators have a rigid and highly-special...
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08/18/2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Autonomous car racing raises fundamental robotics challenges such as pla...
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06/10/2020
Deep Drone Acrobatics
Performing acrobatic maneuvers with quadrotors is extremely challenging....
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05/26/2020
AlphaPilot: Autonomous Drone Racing
This paper presents a novel system for autonomous, vision-based drone ra...
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05/21/2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Dynamically changing environments, unreliable state estimation, and oper...
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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...
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06/22/2018