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Multi-objective three-dimensional path planning algorithm for autonomous underwater vehicles in marine environments

Gang Chen, Y. Zhang, Jiachen Zhu, Yidong Xu, Guoqiang Du, Chuanyu Wu
August 3, 2026
Published Date

Research Abstract & Technology Focus

This paper addresses AUV path planning for multi-location detection in complex underwater environments. A two-stage hybrid algorithm, RRT* Swarm Synergy for Multi-Location Path (RSS-MLP), is proposed, integrating improved RRT* with enhanced particle swarm optimization (PSO). It decomposes the multi-location problem into single-location subproblems via segmented planning: improved RRT* generates initial feasible subpaths, and enhanced PSO optimizes them locally. Experimental results in simulated 3D underwater environments show that RSS-MLP produces paths 6–15% shorter than those from particle swarm, ant colony, and genetic algorithms, with significantly better planning efficiency, convergence speed, and accuracy. RSS-MLP offers superior comprehensive performance and can plan efficient, smooth, and robust 3D navigation paths for AUVs.
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Correlated Market Trend: Ant Colony Optimization Algorithms

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Multi-objective three-dimensional path planning algorithm for autonomous underwater vehicles in marine environments

This paper addresses AUV path planning for multi-location detection in complex underwater environments. A two-stage hybrid algorithm, RRT* Swarm Synergy for Multi-Location Path (RSS-MLP), is propos...

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Environment-informed 3D path planning for autonomous underwater vehicles in ocean current fields

Turbulent ocean vortices create complex and highly uncertain environments for autonomous underwater vehicles (AUVs), making three-dimensional path planning essential for mission execution. To enhan...

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Three-Dimensional Near-Seabed Path Planning for Autonomous Underwater Vehicles Using Fisher Information and Slope–Curvature–Yaw-Rate Constraints

Autonomous underwater vehicles (AUVs) operating near the seabed must maintain localization reliability while satisfying maneuverability and bottom-clearance constraints. This study proposes a three...

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A dynamic path planning algorithm for underwater robots integrating the improved BI-APF-RRT* and DWA

Abstract To address the problems of low global search efficiency in path planning for complex underwater environments, and insufficient obstacle-avoidance robustness, this paper proposes a hybrid p...

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Analysis of advanced modified tuna swarm optimization technique for path planning of underwater vehicle

Purpose Path planning with obstacle avoidance is crucial for navigating an autonomous underwater vehicle (AUV) in an unknown and obstacle-rich three-dimensional space. This paper aims to develop an...

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What is the core focus of the research titled 'Multi-objective three-dimensional path planning algorithm for autonomous underwater vehicles in marine environments'?

This literature focuses on: This paper addresses AUV path planning for multi-location detection in complex underwater environments. A two-stage hybrid algorithm, RRT* Swarm Synergy for Multi-Location Path (RSS-MLP), is proposed, integrating improved RRT* with enhanced partic...

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Yes, highly correlated activity was mapped. An entry titled 'Multi-objective three-dimensional path planning algorithm for autonomous underwater vehicles in marine environments' discusses this: This paper addresses AUV path planning for multi-location detection in complex underwater environments. A two-stage hybrid algorithm, RRT* Swarm Sy...

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