Jul 2026· 2026 IEEE Canadian Atlantic Ocean Symposium (CAOS)· pp. 70-75· 0 citations· 54 references
Abstract
This paper presents a survey of deep reinforcement learning (DRL) strategies applied to the control of autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs). Autonomous marine systems are increasingly deployed for tasks ranging from environmental monitoring to underwater inspection. DRL offers a promising alternative, or complement, to traditional control strategies, as it does not require a model to learn control policies. This review categorizes 49 recent works based on application, such as navigation, collision avoidance, and manipulation, and further classifies them according to algorithm type, including on-policy, off-policy, and hybrid approaches. This paper highlights key benefits, open challenges, and research gaps in applying DRL to marine robotics, aiming to advance the reliability and real-world deployment of DRL-based marine robotics.
Yaw regulation of biomimetic underwater robots is complicated by flexible body motion, nonlinear hydrodynamics, and coupled actuation. This study examines whether a policy trained in simulation can be deployed on an existing robotic sea lion (RSL) without changing its hardware or low-level controllers. A deep determini...
Ze-Yi Zhang, Yu-Hong Liu, Shuang-Tao Liu et al.· Journal of Marine Science an...· 0 citations
This paper analyzes prevailing challenges and corresponding countermeasures regarding hardware deployment, sample efficiency, and model generalization capacity, and points out that further integration of multi-algorithms, optimization of sim-to-real transformation and overall strategy design will be the main trends in...
This review provides a comprehensive synthesis of traditional and artificial intelligence (AI)-based techniques across the complete autonomous UAV navigation pipeline, including environmental perception, localization and mapping, path planning and obstacle avoidance, and motion control, together with commonly used data...
T. Mahmood, Ali Ahmed Mirza· Scientific Journal of Engine...· 0 citations
This article introduces a platform for developing use cases for the automated control of unmanned aerial vehicles (UAVs), utilising the AirSim simulator. This platform allows for the generation of realistic flight scenarios involving multiple UAVs.The proposed platform facilitates the construction of use cases for the...
Daniel Álvarez Novoa, Ángel-Grover Pérez-Muñoz, Alejandro Alonso et al.· Jornadas de Automática· 0 citations
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