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

IRES：美国-巴西：用于大规模协作任务的多机器人系统

• 批准号: 1131011
• 负责人: Mongying Hsieh
• 金额: $ 7.37万
• 依托单位: Drexel 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: 2011-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1131011&HistoricalAwards=false
• 关键词: IRES; US; Brazil; Multi; Robot

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.

提案：OISE-1131011 PI/机构：Hsieh，M. Ani，Drexel UniversityDr. M.来自德雷克塞尔大学的Ani Hsieh和来自新墨西哥州大学的Rafael Fierro博士提议与巴西贝洛奥里藏特米纳斯吉拉斯联邦大学的Luiz Chaimowicz博士和Mario Campos博士合作组织一个国际研究经验学生（IRES）计划，以开发一种多方面的方法来研究多机器人系统，以可靠地执行大规模合作任务。 PI将侧重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综合;以及（d）通过优先检测和主动学习的有意感知。 这个为期三年的IRES计划还为本科生和研究生提供了一个独特的机会，可以与跨学科和国际研究合作，研究集成理论和硬件的多机器人系统的设计。 该奖项由美国国家科学基金会计算机信息科学与工程局信息与智能系统部和国际科学与工程办公室共同资助。