Controlling of Unmanned Underwater Vehicles Using the Dynamic Planning of Symmetric Trajectory Based on Machine Learning for Marine Resources Exploration

Controlling of Unmanned Underwater Vehicles Using the Dynamic Planning of Symmetric Trajectory Based on Machine Learning for Marine Resources Exploration

Unmanned underwater vehicles (UUV) are widely used tools in ocean development, which can be applied in areas such as marine scientific research, ocean resources exploration, and ocean security. However, as ocean exploration advances, UUVs face increasingly challenging operational environments with w...

Full description

Bibliographic Details
Main Authors: Yuriy Kozhubaev, Victor Belyaev, Yuriy Murashov, Oleg Prokofev
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Symmetry
Subjects:
deep learning
dynamic planning
LSTM-RNN
ant colony algorithm
UUV
Online Access:https://www.mdpi.com/2073-8994/15/9/1783

Internet

https://www.mdpi.com/2073-8994/15/9/1783

Similar Items