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

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开放性问题和挑战。在入侵的鲤鱼出没的水域部署了一个机器人船网络，可以长时间跟踪浅水区的许多鱼。开发了可验证正确的协同搜索和跟踪算法，研究了导航、传感、通信和完整系统等多个层面的能效问题，研究了可控移动实体的通信协议，开发了数据分析算法。该项目提供了一种方法，在不影响其他野生动物的情况下，可持续地减少美国湖泊中的入侵鲤鱼种群，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。教育活动将本研究成果推广给全国的高中生、本科生和研究生以及教育工作者。夏季的研究经验，提供融合数学，计算机科学和生物学。来自代表性不足群体的学生通过与主要是美洲原住民学校以及拥有96%非裔学生的中央州立大学的合作来确保参与。该项目同时提高了人们对环境问题的认识，并吸引了科学和工程专业的学生。

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.