The accurate prediction of resistance and running attitudes of high-speed planing crafts is of great significance for the improvement of ship hydrodynamics. In this study, the lab model tests and computational fluid dynamics (CFD) methods are employed to investigate the effects of volumetric Froude number and longitudinal center of gravity (LCG) position on the resistance performance, motion characteristics, and free-surface w...

The safe and efficient collision avoidance of multiple ships is essential for maritime navigation and intelligent shipping systems. In this paper, we propose a novel COLREGs-compliant multi-ship collision avoidance strategy based on deep reinforcement learning. A cooperative training framework using the Proximal Policy Optimization (PPO) algorithm enables multiple ship agents to learn optimal collision avoidance actions while...