arrow
Return

AUV path planning in complex 3D underwater environments based on an improved TD3 algorithm

delete2025-12-05
delete0
PRE
AI
C
C. M. Su
Y
Yonglong Li
王浩然 cover
王浩然 (Haoran Wang)
Y
Yi Xia
J
Jialong Li
G
Gang Wan
Y
Yongcan Chen
DOI:10.1016/j.oceaneng.2025.123688delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• An enhanced TD3 algorithm integrates reward-sensitive PER, N-step returns, and adaptive noise for robust 3D AUV planning. • The method achieves faster convergence, competitive path length with larger obstacle clearance, and sub-50ms inference. • The proposed model-free framework confirms real-time feasibility for AUV navigation in complex dynamic environments.

Journal

Ocean Engineering cover
Ocean Engineering
IF:
5.5
Papers:
5.8K
Citations:
7.6W

Organization

C
china yangtze power co, ltd maintenance plant
Scholars:
1
Papers: 1
Citations: 0
T
tsinghua university
Scholars:
11.8W
Papers: 10.0W
Citations: 137
S
Southwest Petroleum University
Scholars:
1.4W
Papers: 7.8K
Citations: 8.5K
researcher View more organizations