arXiv:2507.11889cs.RO2025-07

NemeSys让水下机器人实时响应操作员指令,低带宽下实现快速任务切换。

NemeSys: Toward Online Underwater Exploration with Remote Operator-in-the-loop Adaptive Autonomy

  • 用微型磁电信号实现水下低带宽通信,支持任务动态重配置。
  • 任务切换延迟低于50毫秒,计算开销仅13.2MB峰值。
  • 适合需要实时干预的深海探测、应急搜救等场景。

在无GPS、通信受限的海洋环境中,自适应任务控制与动态参数重配置对自主水下航行器(AUV)至关重要。现有平台多采用预设静态任务,或依赖有缆连接与高延迟声学信道进行中段更新,严重限制了其适应性与响应速度。本文提出NemeSys系统,通过紧凑的磁电(ME)信号实现水下实时任务重构。系统包含完整设计、控制架构与任务编码框架,支持通过低带宽通信实现交互式探索与任务调整。经建模分析、仿真测试及实测验证,基于NemeSys数字孪生的中段重任务场景显示,行为切换延迟低于50毫秒,计算开销峰值仅为13.2MB,适合部署于边缘计算设备。实验室水池试验与开放水域实地测试进一步证明系统在动态环境中的稳定控制与可靠任务执行。结果证实在线任务重构的可行性,彰显NemeSys在构建响应式、目标驱动的水下自主系统方面的潜力。

原文摘要 · Abstract (English)

Adaptive mission control and dynamic parameter reconfiguration are essential for autonomous underwater vehicles (AUVs) operating in GPS-denied, communication-limited marine environments. However, AUV platforms generally execute static, pre-programmed missions or rely on tethered connections and high-latency acoustic channels for mid-mission updates, significantly limiting their adaptability and responsiveness. In this paper, we introduce NemeSys, a novel AUV system designed to support real-time mission reconfiguration through compact magnetoelectric (ME) signaling. We present the full system design, control architecture, and a mission encoding framework that enables interactive exploration and task adaptation via low-bandwidth communication. The proposed system is validated through analytical modeling, controlled simulation tests, and real-world trials. The mid-mission retasking scenarios, evaluated using the NemeSys digital twin, demonstrate behavior switching latency below 50 ms with only a 13.2 MB peak computational overhead, making the framework suitable for deployment on edge computing hardware. Laboratory tank tests and open-water field trials further confirm stable control and reliable mission execution in dynamic underwater environments. These results establish the feasibility of online mission reconfiguration and highlight NemeSys as a promising step toward responsive, goal-driven adaptive underwater autonomy.

水下机器人自适应控制低带宽通信边缘计算

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