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The aim is to summarize advancements in autonomous underwater vehicle (AUV) path planning methodologies and their applicability.

March 13, 2026SymmetryOpen Access

Review of Autonomous Underwater Vehicle Path Planning

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The aim is to summarize advancements in autonomous underwater vehicle (AUV) path planning methodologies and their applicability.
Systematic review of literature on major AUV path planning techniques.
Analysis of sample-based methods like PRM and RRT for high-dimensional spaces.
Evaluation of optimization-based methods like APF, NLP, and MPC under dynamic constraints.
Review of swarm intelligence methods and learning-based approaches for decision-making.
Identifies key methodologies in AUV path planning, including sample-based and graph-search techniques.
Highlights trends toward hybrid cooperative planning and dynamic adaptability.
Emphasizes the importance of intelligent decision-making frameworks for AUVs.

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This review examines AUV path planning approaches, highlighting trends in hybrid collaboration and trajectory optimization.

Ni et al. (2026) studied this question.

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