Adaptive energy-efficient reinforcement learning for AUV 3D motion planning in complex underwater environments

Author:

Wen Jiayi,Wang AnqingORCID,Zhu JingweiORCID,Xia Fengbei,Peng Zhouhua,Zhang Weidong

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference69 articles.

1. A reverse bearings only target motion analysis for autonomous underwater vehicle navigation;Alexandri;IEEE Trans. Mob. Comput.,2018

2. A brief review of unmanned underwater vehicle human-machine interaction;Ayob,2022

3. Gaze controlled underwater remotely operated vehicle (ROV) to improve accessibility in maritime robotics;Barth,2023

4. Communication-aware mobile relaying via an AUV for minimal wait time: A broad learning-based solution;Cao;IEEE/CAA J. Autom. Sin.,2024

5. Sparus II AUV—A hovering vehicle for seabed inspection;Carreras;IEEE J. Ocean. Eng.,2018

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