Abstract:
Autonomous Underwater Vehicle (AUV) are employed across a wide range of applications, capable of undertaking various tasks in dangerous, harsh, and challenging underwater environments. These tasks include ocean resource exploration, water monitoring, and area denial, among others. However, the type and amount of sensors that a single AUV can carry are limited, unable to meet the diverse requirements for tasks in marine environments, including the need for extensive operational areas and prolonged operation periods. Thus, the development of swarming and networking technologies for AUV clusters is particularly significant. Utilizing key technologies such as underwater acoustic communication, cooperative detection, and control decision-making, AUVs can achieve networking and coordination among different types of vehicle platforms, forming either homogeneous or heterogeneous clusters for collaborative operations. Through such swarming and networking, the capabilities of underwater vehicle can be fully utilized, enabling information sharing, task cooperation, and resource integration among multiple platforms, thereby autonomously completing more complex maritime operations. This clustering approach not only improves the efficiency of task execution but also reduces operational costs and enhances detection, monitoring, and response capabilities in the marine domain. This paper introduces the research status of autonomous underwater vehicle swarm, summarizes the key technologies and challenges, and looks forward to future trends, providing a reference for foundational theoretical research and practical application studies in the field of autonomous underwater vehicle clusters.