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

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

迈向μNet的第一步:开放式水生试验台和机器人生态系统

DOI:
10.1145/3491315.3491322
复制
发表时间:
2021
期刊:
15th Internationa Conference on Underwater Networks & Systems (WUWNet’21
影响因子:
--
通讯作者:
Peng, Zheng
Peng, Zheng
中科院分区:
--
文献类型:
--
作者:
Mayberry, Scott;Wang, Junkai;Tao, Qiuyang;Zhang, Fumin;Song, Aijun;Hong, Xiaoyan;Dong, Shuai;Webb, Connor;Dugaev, Dmitrii;Peng, Zheng

文献摘要

参考文献

被引文献

相似文献

水生研究需要一套特殊的设施、专业知识和支持人员,所有这些都是昂贵的,而且小型研究小组往往无法获得。共享的研究基础设施,特别是测试台和开放获取软件,将降低进入门槛,减少实施时间,并降低恶劣水下环境中失败的风险。我们已经在开发 μNet 方面迈出了第一步,μNet 是一个开放式水生测试平台和机器人生态系统,可满足共享基础设施的需求。我们的贡献包括室内测试台、室外测试台和开放访问软件套件的初步步骤。
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.
MOOS-IvP 自治工具用户手册
DOI: --
发表时间: 2010
期刊:
影响因子: --
作者:
M. Benjamin
通讯作者: M. Benjamin
通过水下多模式网络进行数据传输的基于事件的堆栈
DOI: 10.1109/ucomms50339.2021.9598153
发表时间: 2021
期刊: 2021 Fifth Underwater Communications and Networking Conference (UComms)
影响因子: --
作者:
Roberto Francescon;Filippo Campagnaro;Emanuele Coccolo;Alberto Signori;F. Guerra;F. Favaro;M. Zorzi
通讯作者: M. Zorzi
DOI: 10.1109/ucomms.2018.8493207
发表时间: 2018-08
期刊: 2018 Fourth Underwater Communications and Networking Conference (UComms)
影响因子: --
作者:
Emrecan Demirors;Jiacheng Shi;A. Duong;Neil Dave;Raffaele Guida;Bernard Herrera;Flavius V. Pop;Guofeng Chen;C. Casella;Sayedamirhossein Tadayon;M. Rinaldi;S. Basagni;M. Stojanovic;T. Melodia
通讯作者: Emrecan Demirors;Jiacheng Shi;A. Duong;Neil Dave;Raffaele Guida;Bernard Herrera;Flavius V. Pop;Guofeng Chen;C. Casella;Sayedamirhossein Tadayon;M. Rinaldi;S. Basagni;M. Stojanovic;T. Melodia
基于模型的自适应行为框架,用于海洋机器人的最佳声学通信和传感
DOI: --
发表时间: 2013
影响因子: 4.1
作者:
Toby Schneider;H. Schmidt
通讯作者: H. Schmidt