Research progress on artificial intelligence-assisted deep-sea vehicle exploration technology

doi:10.3969/j.issn.1000-1565.2025.03.008

Abstract

Abstract: Served as a vital reservoir of resources for human, the ocean contains abundant water, mineral, and biological resources. However, the complexity and extremity of the deep-sea environment impose significant limitations on human exploration efforts. Consequently, developing deep-sea detection technologies, particularly artificial intelligence(AI)-assisted deep-sea vehicle exploration technologies, has become an urgent necessity for augmenting scientific knowledge and fostering sustainable resource utilization. Therefore, this paper systematically reviews the application of AI on several critical technologies of deep-sea vehicles, including underwater navigation and communication, underwater path planning and safe obstacle avoidance, underwater target detection and recognition, as well as fault diagnosis and fault-tolerant control mechanisms of underwater vehiches. Furthermore, it pinpoints the challenges and obstacles which AI-assisted deep-sea exploration are currently confronted with and analyzes prospective developmental trends for such technologies, thus providing a reference for future researches in this field.

Key words: artificial intelligence, deep-sea exploration, deep-sea vehicles, deep learning, neural network

CLC Number:

TP391
P714

LIAO Yong, ZHU Junhao. Research progress on artificial intelligence-assisted deep-sea vehicle exploration technology[J]. Journal of Hebei University(Natural Science Edition), 2025, 45(3): 299-308.

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