AUV Obstacle Avoidance Planning Based on Deep Reinforcement Learning

In a complex underwater environment, finding a viable, collision-free path for an autonomous underwater vehicle (AUV) is a challenging task. The purpose of this paper is to establish a safe, real-time, and robust method of collision avoidance that improves the autonomy of AUVs. We propose a method b...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Jianya Yuan, Hongjian Wang, Honghan Zhang, Changjian Lin, Dan Yu, Chengfeng Li
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-10-01
Serier:	Journal of Marine Science and Engineering
Fag:	autonomous underwater vehicle (AUV) collision avoidance planning deep reinforcement learning (DRL) double-DQN (D-DQN)
Online adgang:	https://www.mdpi.com/2077-1312/9/11/1166
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!