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 …
A bipedal walking robot that can fly, slackline, and skateboard
Numerous mobile robots in various forms specialize in either ground or aerial locomotion,
whereas very few robots can perform complex locomotion tasks beyond simple walking and …
whereas very few robots can perform complex locomotion tasks beyond simple walking and …
Autonomous navigation for eVTOL: Review and future perspectives
H Wei, B Lou, Z Zhang, B Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
Neural lander: Stable drone landing control using learned dynamics
Precise near-ground trajectory control is difficult for multi-rotor drones, due to the complex
aerodynamic effects caused by interactions between multi-rotor airflow and the environment …
aerodynamic effects caused by interactions between multi-rotor airflow and the environment …
Neural-swarm2: Planning and control of heterogeneous multirotor swarms using learned interactions
We present Neural-Swarm2, a learning-based method for motion planning and control that
allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation …
allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation …
A new robust adaptive mixing control for trajectory tracking with improved forward flight of a tilt-rotor UAV
A new robust adaptive mixing control (RAMC) is proposed in order to accomplish trajectory
tracking of a tilt-rotor unmanned aerial vehicle (UAV) configuration. This kind of system is a …
tracking of a tilt-rotor unmanned aerial vehicle (UAV) configuration. This kind of system is a …
Multimodal dynamics analysis and control for amphibious fly-drive vehicle
With the increasing requirements for vehicle mobility and transport efficiency, the
amphibious fly-drive vehicle has attracted more widespread attention. This article presents a …
amphibious fly-drive vehicle has attracted more widespread attention. This article presents a …
Transition nonlinear blended aerodynamic modeling and anti-harmonic disturbance robust control of fixed-wing tiltrotor UAV
J Liao, H Bang - Drones, 2023 - mdpi.com
This study proposed a novel nonlinear blended aerodynamic model for the tiltrotor
unmanned aerial vehicle (UAV) during the transition phase to handle the high angle-of …
unmanned aerial vehicle (UAV) during the transition phase to handle the high angle-of …
Meta-learning-based robust adaptive flight control under uncertain wind conditions
Realtime model learning proves challenging for complex dynamical systems, such as
drones flying in variable wind conditions. Machine learning technique such as deep neural …
drones flying in variable wind conditions. Machine learning technique such as deep neural …
An energy-saving regulation approach based on economic rotational speed and power split feature for more electric turboshaft engine
Z Wei, Y Ma, C Xiang, D Liu, Z Li, S Ruan - Aerospace Science and …, 2022 - Elsevier
More electric turboshaft engine is comprised of turboshaft engine and electric machines
which are connected to each shaft of the engine. More electric turboshaft engine has great …
which are connected to each shaft of the engine. More electric turboshaft engine has great …