Learning quadrotor dynamics for precise, safe, and agile flight control
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 …
such as quadrotor systems and presents several future research directions in this area. The …
Review of aerial transportation of suspended-cable payloads with quadrotors
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 …
from the military, industrial and logistics research areas. The interactions between the UAV …
Neural-fly enables rapid learning for agile flight in strong winds
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 …
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …
Autonomous drone racing: A survey
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 …
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
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 …
(UAV) has the outstanding advantage of long endurance time. Trajectory tracking motion is a …
Symmetric actor–critic deep reinforcement learning for cascade quadrotor flight control
Even though deep reinforcement learning (DRL) has been extensively applied to quadrotor
flight control to simplify parameter adjustment, it has some drawbacks in terms of control …
flight control to simplify parameter adjustment, it has some drawbacks in terms of control …
Difftune: Auto-tuning through auto-differentiation
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 …
controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and …
Bayesian multi-task learning mpc for robotic mobile manipulation
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 …
such as opening a door or picking-and-placing an object. Typically, a basic first-principles …
Perception-aware perching on powerlines with multirotors
JL Paneque, JR Martínez-de Dios… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Multirotor aerial robots are becoming widely used for the inspection of powerlines. To
enable continuous, robust inspection without human intervention, the robots must be able to …
enable continuous, robust inspection without human intervention, the robots must be able to …
Online dynamics learning for predictive control with an application to aerial robots
In this work, we consider the task of improving the accuracy of dynamic models for model
predictive control (MPC) in an online setting. Although prediction models can be learned …
predictive control (MPC) in an online setting. Although prediction models can be learned …