First Step Towards μNet: Open-Access Aquatic Testbeds and Robotic Ecosystem

Scott Mayberry, Junkai Wang, Qiuyang Tao, Fumin Zhang, Aijun Song, Xiao Hong, Shuai Dong, Connor Webb, D. Dugaev, Zheng Peng
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引用次数: 7

Abstract

Aquatic-based research requires a special set of facilities, expertise, and supporting personnel, all of which are costly and often not accessible to small research groups. A shared research infrastructure, particularly testbeds and open-access software, would lower the barrier to entry, decrease implementation time, and mitigate the risk of failure in harsh underwater environments. We have made the first step towards developing μNet, an open-access aquatic testbed and robotic ecosystem addressing the need for shared infrastructure. Our contributions include the initial steps towards an indoor testbed, an outdoor testbed, and an open-access software suite.
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迈向μNet的第一步:开放存取的水生试验台和机器人生态系统
基于水生的研究需要一套特殊的设施、专业知识和辅助人员,所有这些都是昂贵的,而且往往是小型研究小组无法获得的。共享的研究基础设施,特别是试验台和开放获取软件,将降低进入门槛,缩短实施时间,并减轻恶劣水下环境中的故障风险。我们已经朝着开发μNet迈出了第一步,这是一个开放的水生测试平台和机器人生态系统,解决了共享基础设施的需求。我们的贡献包括室内试验台、室外试验台和开放访问软件套件的初始步骤。
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Requirement Learning and Matching MAC Protocol for Underwater Acoustic Sensor Networks Equalization in Underwater Acoustic Orbital Angular Momentum Mode-Division Multiplexing First Step Towards μNet: Open-Access Aquatic Testbeds and Robotic Ecosystem A Low Complexity Aggregation Method for Underwater On-Pipe Sensor Network A Scalable and Fair Power Allocation Scheme Based on Deep Multi-Agent Reinforcement Learning in Underwater Wireless Sensor Networks
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