低成本可自研水下机器人,实现实时目标检测与精准操控。
HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection

- 集成AI感知与本地制造的低成本平台,支持水下实时检测。
- 压力测试达4巴(304.8米深),定位精度±0.15米,无进水。
- 搭载双机械臂,实现360°无缠绕操作,物体检测mAP达0.89。
遥控水下航行器(ROV)是执行水下检测与干预任务的关键工具。然而,商用ROV成本高昂,且高机械性能平台缺乏智能集成,导致使用门槛高。HyDRA Scorpion通过将先进的AI感知系统与原位测量能力整合到低成本、本地可制造的平台上,突破这一瓶颈。该系统具备4-自由度机动性、双机械臂及定制耐压外壳。实验验证其可靠性:电子舱在模拟4巴压力(约304.8米水深)下持续测试,未出现渗水;在外部扰动下保持位置稳定,偏差小于±0.15米。车载AI模块实现水下目标检测平均精度(mAP)0.89,支持实时推理与长度、3D建图测距。4-自由度机械臂具备双功能特性,支持360°无缠绕旋转。
原文摘要 · Abstract (English)
A Remotely Operated Vehicle (ROV) is a tethered underwater robot used for tasks like inspection and intervention. While essential tools for underwater science, the high cost of commercial ROVs and a persistent gap between mechanically capable platforms and those with integrated intelligence create a significant barrier to access. HyDRA Scorpion differs from conventional systems by addressing these challenges, integrating an advanced, AI-driven perception stack with in-situ measurement capabilities onto a low-cost, locally manufacturable platform. The system combines 4-DoF maneuverability, dual manipulators, and a custom pressure-tested housing. Experimental results validate the system's robustness and performance. Leak-free operation was confirmed through prolonged pressure testing of the electronics housing to 4 bar, equivalent to the pressure of a 304.8-meter water depth approximately in a simulated environment, with no moisture ingress detected. The vehicle also demonstrated stable station-keeping, maintaining its position within a tight tolerance of $\(\pm\)0.15$ meters under external disturbances. The onboard AI module achieved underwater object detection mean Average Precision (mAP) of 0.89 with real-time inference, length and 3D-mapping based distance measurement. Also, 4-DoF manipulator arm can grip and maintain dual-function manipulator feature which support 360 degree tangle-free rotation.
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