Comprehensive ocean information-enabled AUV path planning via reinforcement learning

M Xi, J Yang, J Wen, H Liu, Y Li… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The path planning of the autonomous underwater vehicle (AUV) has shown great potential
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …

A novel reinforcement learning based tuna swarm optimization algorithm for autonomous underwater vehicle path planning

Z Yan, J Yan, Y Wu, S Cai, H Wang - Mathematics and Computers in …, 2023 - Elsevier
Path planning technology is an important guarantee for the safe navigation of autonomous
underwater vehicle (AUV) in water, and it is also an important indicator of the intelligence of …

Safety-certified constrained control of maritime autonomous surface ships for automatic berthing

Z Peng, C Wang, Y Yin, J Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The berthing of maritime autonomous surface ships (MASSs) is a challenging operation
even for an experienced captain due to the required complicated maneuvering at low …

Intelligent path planning of underwater robot based on reinforcement learning

J Yang, J Ni, M Xi, J Wen, Y Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As one of the commonly used vehicles for underwater detection, underwater robots are
facing a series of problems. The real underwater environment is large-scale, complex, real …

A smooth path planning method for mobile robot using a BES-incorporated modified QPSO algorithm

S Dian, J Zhong, B Guo, J Liu, R Guo - Expert Systems with Applications, 2022 - Elsevier
The design of path planning algorithms to obtain a smooth path that satisfies constraints
such as obstacle avoidance, minimized cost, and dynamic feasibility for mobile robots in the …

Behavior-based formation control digital twin for multi-AUG in edge computing

J Wen, J Yang, Y Li, J He, Z Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The new generation of artificial intelligence technology has improved the autonomous
monitoring capabilities of marine equipment. The ocean monitoring platform based on edge …

A multi-objective path planning method for the wave glider in the complex marine environment

S Zhang, H Sang, X Sun, F Liu, Y Zhou, P Yu - Ocean Engineering, 2022 - Elsevier
Aiming to energy-efficient, short path, and safety, an online dynamic multi-objective path
planning method for the wave glider (WG) is proposed to make the WG operate efficiently in …

Cooperative localization based multi-AUV trajectory planning for target approaching in anchor-free environments

Y Li, B Li, W Yu, S Zhu, X Guan - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Target approaching is an essential ability in marine applications, such as underwater
rescue. The recent advances in autonomous underwater vehicles (AUVs) make them ideal …

[HTML][HTML] Efficient deep reinforcement learning for optimal path planning

J Ren, X Huang, RN Huang - Electronics, 2022 - mdpi.com
In this paper, we propose a novel deep reinforcement learning (DRL) method for optimal
path planning for mobile robots using dynamic programming (DP)-based data collection …

Energy optimised D* AUV path planning with obstacle avoidance and ocean current environment

B Sun, W Zhang, S Li, X Zhu - The Journal of Navigation, 2022 - cambridge.org
For the path planning of autonomous underwater vehicles (AUVs) in the ocean environment,
in addition to the planned path length and safe obstacle avoidance, it is also necessary to …