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: 1111542
• 负责人: Kimberly Kendricks
• 金额: $ 21.98万
• 依托单位: Central State University
• 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 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1111542&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方面的悬而未决的问题和挑战。 在入侵鲤鱼出没的水域中部署了一个机器人船网络，可以长时间跟踪浅水中的许多鱼类。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，研究了可控移动实体的通信协议，并开发了数据分析算法。该项目提供了一种在不影响其他野生动物的情况下可持续减少美国湖泊入侵鲤鱼种群的方法，从而解决重大环境问题。 机器人被证明是环境科学家的主要科学仪器。 这些教育活动向全国各地的高中生、本科生和研究生以及教育工作者推广这项研究成果。 提供融合数学、计算机科学和生物学的夏季研究经验。 通过与主要是美洲原住民的学校以及拥有 96% 非洲裔美国学生的中央州立大学合作，确保来自代表性不足群体的学生的参与。 该项目同时提高了人们对环境问题的认识，并吸引学生学习科学和工程。