Champion-level drone racing using deep reinforcement learning

E Kaufmann, L Bauersfeld, A Loquercio, M Müller… - Nature, 2023 - nature.com
First-person view (FPV) drone racing is a televised sport in which professional competitors
pilot high-speed aircraft through a 3D circuit. Each pilot sees the environment from the …

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning

Y Song, A Romero, M Müller, V Koltun… - Science Robotics, 2023 - science.org
A central question in robotics is how to design a control system for an agile mobile robot.
This paper studies this question systematically, focusing on a challenging setting …

A comparative study of nonlinear mpc and differential-flatness-based control for quadrotor agile flight

S Sun, A Romero, P Foehn, E Kaufmann… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Accurate trajectory-tracking control for quadrotors is essential for safe navigation in cluttered
environments. However, this is challenging in agile flights due to nonlinear dynamics …

Optimality principles in spacecraft neural guidance and control

D Izzo, E Blazquez, R Ferede, S Origer, C De Wagter… - Science Robotics, 2024 - science.org
This Review discusses the main results obtained in training end-to-end neural architectures
for guidance and control of interplanetary transfers, planetary landings, and close-proximity …

Actor-critic model predictive control

A Romero, Y Song… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
An open research question in robotics is how to combine the benefits of model-free
reinforcement learning (RL)—known for its strong task performance and flexibility in …

Autonomous drone racing: A survey

D Hanover, A Loquercio, L Bauersfeld… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms

T Salzmann, E Kaufmann… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Model Predictive Control (MPC) has become a popular framework in embedded control for
high-performance autonomous systems. However, to achieve good control performance …

Minimum-time quadrotor waypoint flight in cluttered environments

R Penicka, D Scaramuzza - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
We tackle the problem of planning a minimum-time trajectory for a quadrotor over a
sequence of specified waypoints in the presence of obstacles while exploiting the full …

Time-optimal online replanning for agile quadrotor flight

A Romero, R Penicka… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
In this letter, we tackle the problem of flying a quadrotor using time-optimal control policies
that can be replanned online when the environment changes or when encountering …

Unmanned aerial vehicle navigation in underground structure inspection: A review

R Zhang, G Hao, K Zhang, Z Li - Geological Journal, 2023 - Wiley Online Library
Many years after construction, a number of existing old tunnels and underground structures
are deteriorating with time as evidenced by cracks, large deformations, water leakage and …