Unmanned aerial vehicles for search and rescue: A survey

M Lyu, Y Zhao, C Huang, H Huang - Remote Sensing, 2023 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

Learning quadrotor dynamics for precise, safe, and agile flight control

A Saviolo, G Loianno - Annual Reviews in Control, 2023 - Elsevier
This article reviews the state-of-the-art modeling and control techniques for aerial robots
such as quadrotor systems and presents several future research directions in this area. 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 …

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight

P Foehn, E Kaufmann, A Romero, R Penicka, S Sun… - Science robotics, 2022 - science.org
Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in
terms of perception, planning, learning, and control. A versatile and standardized platform is …

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 …

Performance, precision, and payloads: Adaptive nonlinear mpc for quadrotors

D Hanover, P Foehn, S Sun… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Agile quadrotor flight in challenging environments has the potential to revolutionize
ship**, transportation, and search and rescue applications. Nonlinear model predictive …

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 …

HCTO: Optimality-aware LiDAR inertial odometry with hybrid continuous time optimization for compact wearable map** system

J Li, S Yuan, M Cao, TM Nguyen, K Cao… - ISPRS Journal of …, 2024 - Elsevier
Compact wearable map** system (WMS) has gained significant attention due to their
convenience in various applications. Specifically, it provides an efficient way to collect prior …

A benchmark comparison of learned control policies for agile quadrotor flight

E Kaufmann, L Bauersfeld… - … Conference on Robotics …, 2022 - ieeexplore.ieee.org
Quadrotors are highly nonlinear dynamical systems that require carefully tuned controllers to
be pushed to their physical limits. Recently, learning-based control policies have been …