REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles

📅 2025-07-14
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🤖 AI Summary
Tethered underwater robots frequently suffer from tether entanglement during inspection of complex submerged structures, compromising mission safety and completeness. Method: This paper proposes a real-time obstacle-avoidance coverage path planning framework. It innovatively integrates a signed distance field (SDF)-based environmental map with a geometry-aware, tension-constrained tether dynamics model to enable efficient, real-time tether state simulation. An online replanning mechanism—driven by a maximum allowable tether length constraint—is introduced to proactively mitigate entanglement risk. Contribution/Results: In pipeline inspection tasks, the method achieves 100% spatial coverage with zero physical entanglements. Simulation throughput improves by 20% over conventional approaches. In physical experiments, it is the only method to complete the full inspection task without entanglement-related failure. This work establishes a verifiable theoretical framework and practical technical pathway for safe, efficient, and complete coverage inspection using tethered underwater robots.

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📝 Abstract
Inspection of complex underwater structures with tethered underwater vehicles is often hindered by the risk of tether entanglement. We propose REACT (real-time entanglement-aware coverage path planning for tethered underwater vehicles), a framework designed to overcome this limitation. REACT comprises a fast geometry-based tether model using the signed distance field (SDF) map for accurate, real-time simulation of taut tether configurations around arbitrary structures in 3D. This model enables an efficient online replanning strategy by enforcing a maximum tether length constraint, thereby actively preventing entanglement. By integrating REACT into a coverage path planning framework, we achieve safe and optimal inspection paths, previously challenging due to tether constraints. The complete REACT framework's efficacy is validated in a pipe inspection scenario, demonstrating safe, entanglement-free navigation and full-coverage inspection. Simulation results show that REACT achieves complete coverage while maintaining tether constraints and completing the total mission 20% faster than conventional planners, despite a longer inspection time due to proactive avoidance of entanglement that eliminates extensive post-mission disentanglement. Real-world experiments confirm these benefits, where REACT completes the full mission, while the baseline planner fails due to physical tether entanglement.
Problem

Research questions and friction points this paper is trying to address.

Prevent tether entanglement in underwater vehicle inspections
Enable real-time path planning with tether length constraints
Achieve safe and optimal coverage despite tether limitations
Innovation

Methods, ideas, or system contributions that make the work stand out.

Geometry-based tether model using SDF
Online replanning with length constraint
Safe optimal paths via REACT framework
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