IRES: US-Brazil: Multi-Robot Systems for Large Scale Cooperative Tasks

建议：OISE-1131011PI/机构：谢家华，M.Ani，德雷克塞尔大学博士德雷塞尔大学的M.Ani Hsieh和新墨西哥大学的Rafael Fierro博士建议与巴西米纳斯吉拉斯联邦大学的Luiz Chaimowicz博士和Mario Campos博士共同组织一个学生国际研究体验(IRES)项目，以开发一种多方面的方法来研究多机器人系统，以便可靠地执行大规模合作任务。PIS将集中于与多机器人系统和协作控制相关的四个主要主题：(A)使用机器人群执行复杂任务；(B)分布式自主装配；(C)分布式协调策略的集成；以及(D)通过优先检测和主动学习的意图感知。这个为期三年的IRES项目还为本科生和研究生提供了一个独特的机会，让他们能够参与跨学科和国际研究，设计集理论和硬件于一体的多机器人系统。学生们还将获得使用自主机器人在复杂环境和有限资源下完成协调任务的新视角。该奖项由美国国家科学基金会计算机与信息科学与工程局信息与智能系统司和国际科学与工程办公室共同资助。

Proposal: OISE- 1131011PI/Institution: Hsieh, M. Ani, Drexel UniversityDr. M. Ani Hsieh from Drexel University and Dr. Rafael Fierro from the University of New Mexico propose to organize an International Research Experience for Students (IRES) program with Brazilian collaborators Dr. Luiz Chaimowicz and Dr. Mario Campos both from the Federal University of Minas Gerais in Belo Horizonte, Brazil, to develop a multi-faceted approach to study multi-robot system for reliable execution of large scale cooperative tasks. The PIs will focus on four main topics related to multi-robot systems and cooperative control: (a) execution of complex task using robot swarms; (b) distributed autonomous assembly; (c) ensemble synthesis of distributed coordination strategies; and (d) intentional sensing via prioritized detection and active learning. This three-year IRES program also provides undergraduate and graduate students with a unique opportunity to work with an interdisciplinary and international research on the design of multi-robot systems integrating theory and hardware. The students will also gain new perspectives on the use of autonomous robots to accomplish coordinated tasks within a complex environment and with limited resources. This award is jointly funded by the Division of Information and Intelligent Systems of the NSF Directorate for Computer and Information Science and Engineering and the Office of International Science and Engineering.