Research Initiation Award: Cognitive Monitoring Systems using Intelligent Robots and Sensors in Dynamic Extreme Environments

研究启动奖：动态极端环境中使用智能机器人和传感器的认知监控系统

• 批准号: 1953460
• 负责人: Renny Fernandez
• 金额: $ 30万
• 依托单位: Norfolk State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953460&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Cognitive; Monitoring

Research Initiation Awards provide support for junior and mid-career faculty at Historically Black Colleges and Universities who are building new research programs or redirecting and rebuilding existing research programs. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at the home institution, and involves undergraduate students in research experiences. The award to Norfolk State University (NSU) has potential broader impacts in a number of areas. The goal of this project is to develop cognitive monitoring systems using intelligent sensors and robots to provide real-time sensing and wireless localization in metallic oil pipelines. The project is a collaborative effort between faculty at NSU and Old Dominion University and involves undergraduate students in the research.This project leverages the cooperation between intelligent underground sensors and in-pipe robots to enable automated cognitive monitoring of metallic pipelines in dynamic underground environments. Underground pipeline leakages caused by internal and external corrosions create significant economic loss and environmental contamination. Wireless in-pipe robots are used to provide precise internal inspections and underground sensors to detect leakages and relay wireless data for in-pipe robots. The specific research aims are to: design reliable through-metal and through-soil wireless communication systems using magnetic induction; intelligently control robots' motion and communication; develop robust wireless networks considering the dynamic change of extreme environments; and design experimental testbeds. The research makes theoretical and empirical contributions to wireless sensing and cognitive monitoring in extreme environments. Findings will improve the accuracy of leakage prediction and detection for underground pipelines, as well as contribute to a wider vision of automating dirty, dull, and dangerous tasks in harsh environments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

研究启动奖为历史悠久的黑人学院和大学的初级和中级教师提供了支持，他们正在构建新的研究计划，或重新指导和重建现有的研究计划。预计该奖项有助于进一步促进教职员工的研究能力和有效性，改善家庭机构的研究和教学，并让本科生参与研究经验。诺福克州立大学（NSU）的奖项在许多领域都具有更广泛的影响。该项目的目的是使用智能传感器和机器人开发认知监测系统，以在金属油管道中提供实时传感和无线定位。 该项目是NSU的教师与旧Dominion大学之间的合作努力，并让本科生参与了研究。该项目利用智能地下传感器和管式机器人之间的合作来实现动态地下环境中金属管道的自动认知监测。内部和外部腐蚀引起的地下管道泄漏会造成严重的经济损失和环境污染。无线内部机器人用于提供精确的内部检查和地下传感器，以检测泄漏和无线数据以用于机器人内机器人。具体的研究目的是：使用磁性诱导设计可靠的跨金属和土壤无线通信系统；智能控制机器人的运动和沟通；考虑到极端环境的动态变化，开发强大的无线网络；和设计实验测试床。这项研究对极端环境中的无线传感和认知监测做出了理论和经验贡献。调查结果将提高地下管道的泄漏预测和检测的准确性，并有助于在恶劣环境中更广泛地自动化肮脏，沉闷和危险任务的愿景。该奖项反映了NSF的法定任务，并认为通过基金会的智力和更广泛的影响，通过评估值得获得支持，并被认为是值得的。

项目成果

BER Analysis and Optimization of Direct Antenna Modulation for Magnetic Induction Communication

磁感应通信直接天线调制的误码率分析与优化

• DOI: 10.1109/rws50353.2021.9360349
• 发表时间: 2021
• 期刊: 2021 IEEE Radio and Wireless Symposium (RWS
• 作者: Chapman, Ryan;Prince, Marlin;Guo, Hongzhi
• 通讯作者: Guo, Hongzhi

Joint Design of Communication, Wireless Energy Transfer, and Control for Swarm Autonomous Underwater Vehicles

• DOI: 10.1109/tvt.2021.3053456
• 发表时间: 2021-02
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Hongzhi Guo;Zhi Sun;Pu Wang

Sequential Task Allocation with Connectivity Constraints in Wireless Robotic Networks

无线机器人网络中具有连接约束的顺序任务分配

• DOI: 10.1109/dcoss52077.2021.00072
• 发表时间: 2021
• 期刊: 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS
• 作者: Guo, Hongzhi;Ofori, Albert A.
• 通讯作者: Ofori, Albert A.

Joint Channel and Antenna Modeling for Magnetic Induction Communication in Inhomogeneous Media

• DOI: 10.1109/ojcoms.2020.3026952
• 发表时间: 2020
• 期刊: IEEE Open Journal of the Communications Society
• 影响因子: 7.9
• 作者: Hongzhi Guo;Albert Aninagyei Ofori

A Design of Wireless Communication and Wireless Energy Transfer System for In-Pipe Robots

管道内机器人无线通信与无线能量传输系统的设计

• DOI: 10.1109/wisee50203.2021.9613833
• 发表时间: 2021
• 期刊: 2021 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE
• 作者: Akafua, Jonathan;Chapman, Ryan;Guo, Hongzhi
• 通讯作者: Guo, Hongzhi