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<p>In recent years, the research community has exhibited a growing interest in Autonomous Underwater Vehicles (AUVs). Significant advancements in AUV path planning technology have been achieved, reflecting rapid progress in this domain. Unlike land robots, AUVs face the intricacies of underwater surroundings, encompassing factors like water pressure, topography, and currents. Issues emerge in real-time obstacle avoidance, planning paths in three-dimensional environments, and ensuring algorithm reliability. Adapting to intricate surroundings and determining a suitable path planning strategy is the foremost challenge requiring resolution. The core goal of this paper is to provide a concise overview of the path planning used in AUV, including traditional, intelligent, and other techniques. These techniques and their associated algorithms are systematically categorized and comprehensively examined. The advantages, disadvantages, challenges, and future scope revolving around the path planning of AUVs are also discussed in detail. Furthermore, approximately 85% of the references cited in this article were published after 2019, highlighting the up-to-date and relevant nature of the review.</p>

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A systematic review on recent trends in path planning techniques for autonomous underwater vehicles

  • 期刊论文

  • 发表日期：

    2025年6月22日

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  • V. Lakshmi Narayanan,
  • Ankur Gupta,
  • Dheeraj Kumar Dhaked,
  • Moumita Tewary,
  • Sandeep Kumar Mondal,
  • Ram Gopal,
  • Pratiksha Sarma

摘要

In recent years, the research community has exhibited a growing interest in Autonomous Underwater Vehicles (AUVs). Significant advancements in AUV path planning technology have been achieved, reflecting rapid progress in this domain. Unlike land robots, AUVs face the intricacies of underwater surroundings, encompassing factors like water pressure, topography, and currents. Issues emerge in real-time obstacle avoidance, planning paths in three-dimensional environments, and ensuring algorithm reliability. Adapting to intricate surroundings and determining a suitable path planning strategy is the foremost challenge requiring resolution. The core goal of this paper is to provide a concise overview of the path planning used in AUV, including traditional, intelligent, and other techniques. These techniques and their associated algorithms are systematically categorized and comprehensively examined. The advantages, disadvantages, challenges, and future scope revolving around the path planning of AUVs are also discussed in detail. Furthermore, approximately 85% of the references cited in this article were published after 2019, highlighting the up-to-date and relevant nature of the review.