Predictive Obstacle Avoidance Algorithm for Under‐Actuated Unmanned Surface Vehicle Under Disturbances via Reinforcement Learning

ABSTRACT Due to the growing complexity of diverse maritime tasks, underactuated unmanned surface vehicle (USV) has become a research hotspot. The rapid development of deep reinforcement learning (DRL) technology has brought forth a novel approach for the USV autonomous control, rendering unnecessary...

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Veröffentlicht in:	Journal of field robotics Jg. 42; H. 7; S. 3482 - 3499
Hauptverfasser:	Jin, Kefan, Liu, Zhe, Wang, Jian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 01.10.2025
Schlagworte:	Collision avoidance Deep learning deep reinforcement learning (DRL) Disturbances Dynamic models Modules Obstacle avoidance Predictions state prediction Surface vehicles Task complexity unmanned surface vehicle (USV) control Unmanned vehicles
ISSN:	1556-4959, 1556-4967
Online-Zugang:	Volltext
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