一个开源的水下机器人平台,用于水生研究和探索.
Scott Mayberry1, Jinzhi Cai1, Ruochu Yang1
1Georgia Institute of Technology, Hong Kong University of Science and Technology, United States.
HardwareX
|December 9, 2025
概括
我们开发了一个开源的微型水下机器人 (MUR),以使水生研究更容易获得. 这种负担得起的平台简化了实验,并增强了海洋科学和机器人技术的数据收集.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 海洋科学 海洋科学
- 海洋学 海洋学 海洋学
背景情况:
- 传统的水下研究因高成本,专业专业知识和设施要求而面临障碍.
- 有限的访问限制了参与,特别是对于较小的研究小组和机构.
研究的目的:
- 引入一个开源微型水下机器人 (MUR) 平台,以民主化水生研究.
- 简化实验实施,扩大水下勘探的机会.
主要方法:
- 开发了一种模块化,5度自由度的推进系统,用于精确控制 (位置,转向,滚动).
- 集成了一个ROS (机器人操作系统) 生态系统,用于网络传感,控制和通信.
- 集成多个摄像头用于高级感知和WiFi,无线电和以太网用于多功能通信.
主要成果:
- 通过中性浮力和先进控制,实现了精确的站位保持和动态轨迹跟踪.
- 启用实时数据采集和传感器融合.
- 支持在浅水环境中的自主和挂部署.
结论:
- 开源的MUR平台显著降低了水下研究的进入壁垒.
- 促进协作创新,建立海洋科学和机器人技术的共享基础设施.
- 通过先进的传感和感知能力,促进复杂的水下操作.
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