The safety and reliability of autonomous ships are critical for the successful realization of an
autonomous maritime ecosystem. Research and collaboration between governments …

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 …

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 …

It is a key to making path planning for an amphibious unmanned surface vehicle (USV). A
global path planning algorithm based on double deep Q networks (DDQN) is proposed …

Reinforcement learning (RL) has shown superior performance in solving sequential
decision problems. In recent years, RL is gradually being used to solve unmanned driving …

The challenge of solving the collision avoidance path planning problem lies in adaptively
selecting the optimal agent velocity in complex scenarios full of reciprocal obstacles. To …

Owing to the rapid economic growth, the importance of the shipping industry has gained
prominence. Navigation safety may be prone to hidden dangers if ship collision avoidance …

Unmanned ships have drawn widespread attention for their potential to enhance
navigational safety, minimize human errors, and improve shipping efficiency. Nevertheless …

To address the challenge of local path planning in a complex, dynamic environment with
multiple ships, we built an autonomous collision avoidance system based on deep …

Ship autonomous navigation constitutes the most critical step in intelligent ships and is the
major prerequisite for the all task completion of the marine autonomous surface ship …