Advances in line-of-sight guidance for path following of autonomous marine vehicles: An overview
Autonomous marine vehicles (AMVs), including autonomous surface and underwater
vehicles, are versatile means to explore, exploit, monitor, and protect marine resources and …
vehicles, are versatile means to explore, exploit, monitor, and protect marine resources and …
On the guidance, navigation and control of in-orbit space robotic missions: A survey and prospective vision
BM Moghaddam, R Chhabra - Acta Astronautica, 2021 - Elsevier
In the first part, this article presents an overview of Guidance, Navigation and Control (GNC)
methodologies developed for space manipulators to perform in-orbit robotic missions …
methodologies developed for space manipulators to perform in-orbit robotic missions …
Finite-time velocity-free rendezvous control of multiple AUV systems with intermittent communication
B Chen, J Hu, Y Zhao, BK Ghosh - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this study, a finite-time velocity-free rendezvous control method is considered for multiple
autonomous underwater vehicle (AUV) systems with intermittent undirected communication …
autonomous underwater vehicle (AUV) systems with intermittent undirected communication …
A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
HR Ren, H Ma, HY Li, RQ Lu - Science China Technological Sciences, 2023 - Springer
Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …
Leader–follower formation control of USVs with prescribed performance and collision avoidance
This paper addresses a decentralized leader-follower formation control problem for a group
of fully actuated unmanned surface vehicles with prescribed performance and collision …
of fully actuated unmanned surface vehicles with prescribed performance and collision …
Retinex-inspired color correction and detail preserved fusion for underwater image enhancement
W Zhang, L Dong, W Xu - Computers and Electronics in Agriculture, 2022 - Elsevier
Many practical underwater applications need to address color cast, blurring, and low
contrast of underwater images for display and further analysis. To cope with the …
contrast of underwater images for display and further analysis. To cope with the …
Survey on traditional and AI based estimation techniques for hydrodynamic coefficients of autonomous underwater vehicle
An accurately predicted dynamic model is essentially required to design a robust control
system for an autonomous underwater vehicle (AUV) maneuvering in six degrees of …
system for an autonomous underwater vehicle (AUV) maneuvering in six degrees of …
Lightweight detection networks for tea bud on complex agricultural environment via improved YOLO v4
J Li, J Li, X Zhao, X Su, W Wu - Computers and Electronics in Agriculture, 2023 - Elsevier
Rapid and accurate detection of tender tea buds in the natural tea garden environment is the
basis for intelligent tea picking. However, complex models result in high hardware …
basis for intelligent tea picking. However, complex models result in high hardware …
[HTML][HTML] Auv trajectory tracking models and control strategies: A review
D Li, L Du - Journal of Marine Science and Engineering, 2021 - mdpi.com
Autonomous underwater vehicles (AUVs) have been widely used to perform underwater
tasks. Due to the environmental disturbances, underactuated problems, system constraints …
tasks. Due to the environmental disturbances, underactuated problems, system constraints …
AUV position tracking and trajectory control based on fast-deployed deep reinforcement learning method
Y Fang, Z Huang, J Pu, J Zhang - Ocean Engineering, 2022 - Elsevier
Aiming at the difficult problem of motion control of under-actuated and X-rudder autonomous
underwater vehicle (AUV), the present work adopts deep reinforcement learning (DRL) …
underwater vehicle (AUV), the present work adopts deep reinforcement learning (DRL) …