RI: Large: Collaborative Research: A Robotic Network for Locating and Removing Invasive Carp from Inland Lakes

RI：大型：合作研究：用于定位和清除内陆湖泊入侵鲤鱼的机器人网络

• 批准号: 1111638
• 负责人: Ibrahim Isler
• 金额: $ 149.54万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1111638&HistoricalAwards=false
• 关键词: RI; Large; Collaborative; Research; Robotic

This project addresses open questions and challenges in search theory, energy-efficient networked robotics, and fish biology. A network of robotic boats which can track many fish in shallow waters over extended periods of time are deployed in invasive carp infested waters. Provably correct cooperative search and tracking algorithms are developed, energy efficiency is studied at multiple levels including navigation, sensing, communication and complete system, communication protocols for controllable mobile entities are studied, and data analysis algorithms are developed.The project provides a means to sustainably reduce invasive carp populations in US lakes without impacting other wildlife, thus solving a major environmental problem. Robots are shown to serve as a major scientific instrument for environmental scientists. The educational activities promote the results of this research to high school, undergraduate and graduate students, as well as educators across the country. A summer research experience is offered which blends mathematics, computer science and biology. Participation of students from under-represented groups is ensured through collaborations with predominantly Native American schools, as well as Central State University which has a 96% African-American student population. The project simultaneously raises awareness of environmental issues and attracts students to science and engineering.

该项目解决了搜索理论，节能网络机器人和鱼类生物学中的开放问题和挑战。 一个机器人船的网络，可以跟踪许多鱼类在浅水沃茨在较长的时间内部署在入侵鲤鱼出没的沃茨。开发了可证明正确的协作搜索和跟踪算法，在导航、传感、通信和完整系统等多个层面研究了能源效率，研究了可控移动的实体的通信协议，开发了数据分析算法。该项目为可持续地减少美国湖泊中的入侵鲤鱼种群而不影响其他野生动物提供了一种手段，从而解决了一个重大的环境问题。 机器人被证明是环境科学家的主要科学工具。 教育活动向高中生、本科生和研究生以及全国的教育工作者宣传这项研究的成果。 提供了一个夏季研究经验，融合了数学，计算机科学和生物学。 通过与以美洲原住民为主的学校以及非裔美国学生占96%的中央州立大学合作，确保代表性不足群体的学生的参与。 该项目同时提高了对环境问题的认识，吸引学生学习科学和工程。