arXiv:2507.10204cs.ROcs.SY2025-07中稿 · publication at Int…被引 4

实时避障的水下机器人路径规划,防止缆绳缠绕并提速20%

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

  • 用SDF地图建模缆绳,实时模拟3D结构周围缆绳状态
  • 比传统方法快20%完成任务,且避免缠绕无需后期解缠
  • 适合需要安全巡检的水下管道、结构等复杂场景

使用缆绳的水下机器人在检查水下结构时常面临缆绳缠绕风险。我们提出REACT(实时缆绳感知覆盖路径规划),一个克服此限制的框架。REACT采用基于几何的计算高效缆绳模型,利用符号距离场(SDF)地图,在3D中精确、实时模拟任意结构周围的紧绷缆绳配置。该模型通过施加最大缆绳长度约束,实现高效的在线重规划,主动预防缠绕。将REACT集成到覆盖路径规划框架中,实现了此前因缆绳约束而难以实现的安全无缠绕巡检路径。在管道巡检场景中验证了完整REACT框架的有效性,展示了安全导航与全范围覆盖。仿真结果表明,REACT在保持缆绳约束的同时实现完全覆盖,并比传统规划器提前20%完成总任务,尽管因主动避让缠绕导致巡检时间稍长,但消除了大量任务后解缠工作。真实世界实验进一步证实这些优势:REACT成功完成全程任务,而基线规划器因物理缆绳缠绕失败。

原文摘要 · Abstract (English)

Inspection of 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 computationally efficient 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 entanglement-free inspection paths, previously challenging due to tether constraints. The complete REACT framework's efficacy is validated in a pipe inspection scenario, demonstrating safe 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.

路径规划水下机器人避障缆绳管理

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。