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Survey of deep learning for autonomous surface vehicles in marine environments
Within the next several years, there will be a high level of autonomous technology that will
be available for widespread use, which will reduce labor costs, increase safety, save energy …
be available for widespread use, which will reduce labor costs, increase safety, save energy …
Cooperative USV–UAV marine search and rescue with visual navigation and reinforcement learning-based control
This paper investigates visual navigation and control of a cooperative unmanned surface
vehicle (USV)-unmanned aerial vehicle (UAV) system for marine search and rescue. First, a …
vehicle (USV)-unmanned aerial vehicle (UAV) system for marine search and rescue. First, a …
Event-triggered adaptive neural fault-tolerant control of underactuated MSVs with input saturation
This paper investigates the tracking control problem of marine surface vessels (MSVs) in the
presence of uncertain dynamics and external disturbances. The facts that actuators are …
presence of uncertain dynamics and external disturbances. The facts that actuators are …
USV formation and path-following control via deep reinforcement learning with random braking
Y Zhao, Y Ma, S Hu - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
This article addresses the problem of path following for underactuated unmanned surface
vessels (USVs) formation via a modified deep reinforcement learning with random braking …
vessels (USVs) formation via a modified deep reinforcement learning with random braking …
[Retracted] Deep Reinforcement Learning‐Based Path Control and Optimization for Unmanned Ships
D Wu, Y Lei, M He, C Zhang, L Ji - … and Mobile Computing, 2022 - Wiley Online Library
Unmanned ship navigates on the water in an autonomous or semiautonomous way, which
can be widely used in maritime transportation, intelligence collection, maritime training and …
can be widely used in maritime transportation, intelligence collection, maritime training and …
Safe-critical formation reconfiguration of multiple unmanned surface vehicles subject to static and dynamic obstacles based on guiding vector fields and fixed-time …
This paper addresses the formation reconfiguration problem of multiple unmanned surface
vehicles subject to static and dynamic obstacles. Specifically, a desired heading is …
vehicles subject to static and dynamic obstacles. Specifically, a desired heading is …
Safe deep reinforcement learning-based adaptive control for USV interception mission
This paper aims to develop a safe learning scheme of the USV interception mission. A safe
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
An improved stanley guidance law for large curvature path following of unmanned surface vehicle
X Yang, X Yan, W Liu, H Ye, Z Du, W Zhong - Ocean Engineering, 2022 - Elsevier
In order to enhance the large curvature path following performance of unmanned surface
vehicle (USV), an improved Stanley guidance law (ISGL) is proposed. To the best of our …
vehicle (USV), an improved Stanley guidance law (ISGL) is proposed. To the best of our …
Data-driven distributed formation control of under-actuated unmanned surface vehicles with collision avoidance via model-based deep reinforcement learning
This paper addresses the distributed formation control with collision avoidance for multiple
under-actuated unmanned surface vehicles (USVs) subject to fully unknown models. A fully …
under-actuated unmanned surface vehicles (USVs) subject to fully unknown models. A fully …
Event-triggered asymptotic tracking control of underactuated ships with prescribed performance
Y Deng, Z Zhang, M Gong, T Ni - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Adapting to the navigational high-precision tracking tasks, this paper develops an event-
triggered adaptive neural asymptotic tracking control framework for underactuated ships …
triggered adaptive neural asymptotic tracking control framework for underactuated ships …