Autonomous Vessel

Autonomous vessels represent a rapidly advancing field aiming to create self-navigating ships capable of safe and efficient operation in diverse maritime environments. Current research heavily focuses on developing robust control and guidance systems, often employing reinforcement learning (RL) algorithms, particularly model-based RL and deep Q-networks, to handle complex scenarios like collision avoidance and adherence to maritime regulations (COLREGs). These advancements leverage sensor data processing techniques, such as variational autoencoders for efficient perception, and address challenges in multi-ship tracking and path planning within constrained spaces. The successful development of autonomous vessels promises significant improvements in maritime safety, efficiency, and environmental sustainability.