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 …

Review of aerial transportation of suspended-cable payloads with quadrotors

J Estevez, G Garate, JM Lopez-Guede, M Larrea - Drones, 2024 - mdpi.com
Payload transportation and manipulation by rotorcraft drones are receiving a lot of attention
from the military, industrial and logistics research areas. The interactions between the UAV …

Neural-fly enables rapid learning for agile flight in strong winds

M O'Connell, G Shi, X Shi, K Azizzadenesheli… - Science Robotics, 2022 - science.org
Executing safe and precise flight maneuvers in dynamic high-speed winds is important for
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …

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 …

Bayesian multi-task learning mpc for robotic mobile manipulation

E Arcari, MV Minniti, A Scampicchio… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Mobile manipulation in robotics is challenging due to the need to solve many diverse tasks,
such as opening a door or picking-and-placing an object. Typically, a basic first-principles …

Difftune: Auto-tuning through auto-differentiation

S Cheng, M Kim, L Song, C Yang, Y **… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The performance of robots in high-level tasks depends on the quality of their lower level
controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and …

A control architecture to coordinate energy management with trajectory tracking control for fuel cell/battery hybrid unmanned aerial vehicles

H Liu, Y Yao, J Wang, Y Qin, T Li - International Journal of Hydrogen …, 2022 - Elsevier
Fuel cell/battery hybrid energy storage system (HESS) powered unmanned aerial vehicle
(UAV) has the outstanding advantage of long endurance time. Trajectory tracking motion is a …

Historical and current landscapes of autonomous quadrotor control: An early-career researchers' guide

A Asignacion Jr, S Satoshi - Drones, 2024 - mdpi.com
The rising demand for autonomous quadrotor flights across diverse applications has led to
the introduction of novel control strategies, resulting in several comparative analyses and …

Quadrotor neural network adaptive control: design and experimental validation

G Yu, J Reis, C Silvestre - IEEE Robotics and Automation …, 2023 - ieeexplore.ieee.org
This letter presents the design and experimental study of an adaptive nonlinear controller for
Unmanned Aerial Vehicles (UAVs) in the presence of unknown time-varying disturbances …

Adaptive neural network-based model path-following contouring control for quadrotor under diversely uncertain disturbances

M Wei, L Zheng, H Li, H Cheng - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Quadrotors, while versatile, are vulnerable to unpredictable environmental disturbances,
including turbulence, gusts, and ground effects, making precise path-following control a …