Download

Download Full Text (289 KB)

Description

Autonomous technology in unmanned equipment is currently the most dynamic frontier technology field, and improving the level of intelligent decision-making is an inevitable trend in the development of unmanned underwater vehicles (UUVs). Torpedo attack decision-making is an important part of attack-type UUVs' attack missions, and it is also the basis and premise for forming self-organizing cross-domain collaboration, autonomous cluster confrontation, and other operational capabilities. Beginning by sorting through the characteristics of operational use and typical mission styles, this article summarizes the advantages and disadvantages of UUVs compared to manned platforms, analyzes the decision-making content different from traditional torpedo attacks, expounds on the key issues that need to be resolved in implementing decisionmaking functions, and, based on the development status of machine learning technology, proposes an intelligent decision-making method suitable for solving problems such as large uncertainty in observation data, difficulty in guaranteeing real-time attack decision-making, and weak model perception interaction capabilities. This research can serve as a reference for future research in unmanned equipment development and intelligent decision-making fields.

Publication Date

5-2024

Publisher

China Maritime Studies Institute, U.S Naval War College

City

Newport, Rhode Island

Keywords

China, PRC, China Maritime Studies Institute, CMSI, People’s Liberation Army, People’s Liberation Army Navy, PLAN, Drone, Drones, UUV, Underwater

CMSI Translations #3: Discussion on the Requirements and Methods of Intelligent Decision-Making in Torpedo Attacks by Unmanned Underwater Vehicles

Share

COinS