机械制造与自动化2026，Vol.55Issue(2)：126-130,5.DOI:10.19344/j.cnki.issn1671-5276.2026.02.024
基于无人艇路径规划方法的海上救援技术研究
Maritime Rescue Technology Reserch Based on Unmanned Boat Path Planning Method
毛君赫 1李峰 1马裕清 2胡家庆1
作者信息
- 1. 中国人民解放军海军军医大学卫生勤务学系,上海 200433
- 2. 中国人民解放军海军军医大学海军医学系,上海 200433
- 折叠
摘要
Abstract
In order to improve the efficiency and safety of maritime rescue,this study optimizes the action space based on the performance of unmanned boats,adopts Q-Learning algorithm to learn and adapt to complex and changing environments,and selects simulated annealing algorithm to ensure the search for the global optimal solution.The results show that the average path length of the adopted method in small-scale offshore environments is 10.02％shorter than traditional simulated annealing algorithms,and the average time is reduced by 1.41％,without sharp corners.关键词
路径规划/USV/Q-Learning/模拟退火算法/海上救援Key words
path planning/USV/Q-Learning/simulated annealing algorithm/sea rescue分类
医药卫生引用本文复制引用
毛君赫,李峰,马裕清,胡家庆..基于无人艇路径规划方法的海上救援技术研究[J].机械制造与自动化,2026,55(2):126-130,5.
