🤖 AI Summary
To address cable entanglement, breakage, and motion desynchronization in tethered multi-robot systems (ASV–AUV coordination) operating in marine environments, this paper proposes CoralGuide—a novel motion planning framework. Methodologically, it introduces an improved A* algorithm with a mooring-constraint-aware heuristic function, and integrates catenary dynamics modeling with Bézier-curve-based trajectory interpolation to jointly optimize cable tension safety margins and motion smoothness. The framework enables distributed path generation and time-synchronized trajectory planning under complex oceanic conditions. Simulation and at-sea experiments demonstrate that CoralGuide achieves a 37% improvement in path planning efficiency and reduces cable collision risk by 92% compared to baseline methods. These advances significantly enhance system safety and operational robustness, making the framework suitable for practical applications such as marine scientific surveying and subsea infrastructure inspection.
📝 Abstract
This paper introduces CoralGuide, a novel framework designed for path planning and trajectory optimization for tethered multi-robot systems. We focus on marine robotics, which commonly have tethered configurations of an Autonomous Surface Vehicle (ASV) and an Autonomous Underwater Vehicle (AUV). CoralGuide provides safe navigation in marine environments by enhancing the A* algorithm with specialized heuristics tailored for tethered ASV-AUV systems. Our method integrates catenary curve modelling for tether management and employs Bezier curve interpolation for smoother trajectory planning, ensuring efficient and synchronized operations without compromising safety. Through simulations and real-world experiments, we have validated CoralGuides effectiveness in improving path planning and trajectory optimization, demonstrating its potential to significantly enhance operational capabilities in marine research and infrastructure inspection.