MRI Collaborative: Development of an Intelligent, Autonomous, Unmanned, Mobile Sensor

MRI 协作：开发智能、自主、无人、移动传感器

• 批准号: 1229250
• 负责人: Helen Boussalis
• 金额: $ 50万
• 依托单位: California State L A University Auxiliary Services Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229250&HistoricalAwards=false
• 关键词: MRI; Collaborative; Development; Intelligent; Autonomous

Proposal #: 12- 29236 Collaborative Proposal #: 12-29250PI(s): Valavanis, Kimon P.; Gao,David Wenzhong; Mahoor,Mohammad;Rutherford,Matthew J;Yi,Yun-Bo and Collab PI(s): Boussalis, Helen R.;Guillaume, Darrell; Wu, ChiveyInstitution: University of Denver and Collab Institution: California State-LA UniversityTitle: MRI: Collaborative: Dev. of an Integrated, Intelligent, Autonomous, Unmanned, Mobile SensorProject Proposed:This project focuses on the development of an integrated, intelligent, autonomous unmanned mobile sensor will enable research into the foundations of the next generation of autonomous Unmanned Aerial Systems (UAS). The objective of this proposal is to develop an unmanned helicopter (about 150 kg weight) along with a mobile landing platform for refueling purposes. The aircraft would be able to operate with both electric and fuel. The instrument will be composed of two tightly coupled components, a(i) Novel light-weight unmanned helicopter (150 Kg), and,(ii) General purpose landing platform that will also serve as a refueling/recharging station and data relay/repository. This composition of the instrument is expected to pave the way for the next generation of multi-purpose/cost-effective UAS into civilian and public domain applications. The proposed integrated two component instrument development is not considered as an extension of existing technology. It will enable heterogeneous networked unmanned systems operating in unison in traditional/extreme environment. The following specific research projects will be enabled through the instrument: - Fault-Tolerant and Emergency Landing Navigation and Control Systems- RADAR-based Sense-and-Avoid System- Prognosis and Structural Health Monitoring of UAVs- Networked Unmanned Systems (NUS)- Integration: Software Reliability and Security- Unmanned Helicopters for Civilian/Public and Industrial ApplicationsThe University of Denver (DU) and California State University Los Angeles (CalStU-LA), a predominantly minority-serving institution, collaborate in the project. Broader Impacts: The impact should be felt both regionally and nationally. At the national level, the instrument should initiate transformative advances in the computational algorithms proposed. The results will be made available to the broader research community in the form of open-source codes. Simulations made possible by these algorithms will have broad national and societal impact ranging from climate change scenarios to wind power generation to plant biotechnology and improved animal breeding.At the institutional and regional levels, DU faculty/students will collaborate with CalStU-LA faculty/students to enhance the ethnic and gender diversity of the student population, especially recruiting minority students. Project goal include increasing the educational/training opportunities for underrepresented students, and the number of graduates in STEM fields.

提案编号：12- 29236 合作提案编号：12- 29250 PI（s）：Valavanis，Kimon P.;作者：Gao，大卫文忠; Mahoor，Mohammad;Rutherford，Matthew J;Yi，Yun-Bo and Collab PI（s）：Boussalis，Helen R.; Guillaume，Darrell; Wu，Chivey机构：丹佛大学和合作机构： 加州州立大学洛杉矶分校标题：MRI：协作：开发综合、智能、自主、无人、移动的传感器项目建议：该项目的重点是开发综合、智能、自主的无人移动的传感器，这将使研究成为下一代自主无人机系统（UAS）的基础。本提案的目标是开发一种无人直升机（重量约150公斤），沿着一个移动的着陆平台，用于加油。这架飞机将能够使用电力和燃料。该仪器将由两个紧密耦合的组件组成，一个是（i）新型轻型无人直升机（150公斤），另一个是通用着陆平台，也将用作加油/充电站， 数据中继/存储库。该仪器的这一组成预计将为下一代多用途/具有成本效益的无人机系统进入民用和公共领域应用铺平道路。 拟议的综合两组分仪器开发不被视为现有技术的扩展。它将使异构网络无人系统在传统/极端环境中统一运行。以下具体研究项目将通过该仪器实现：-容错和紧急着陆导航和控制系统-基于雷达的感知与规避系统-无人机的预测和结构健康监测-网络无人系统（NUS）-集成：软件可靠性和安全性-民用/公共和工业应用的无人直升机丹佛大学（DU）和加州州立大学洛杉矶（CalStU-LA），一个主要为少数民族服务的机构，在该项目中合作。更广泛的影响：区域和国家都应感受到这种影响。在国家一级，该文书应在拟议的计算算法方面取得变革性进展。研究结果将以开放源代码的形式提供给更广泛的研究界。通过这些算法实现的模拟将产生广泛的国家和社会影响，从气候变化情景到风力发电，再到植物生物技术和改善动物育种。在机构和地区层面，DU教师/学生将与CalStU-LA教师/学生合作，以提高学生群体的种族和性别多样性，特别是招收少数民族学生。 项目目标包括增加代表性不足的学生的教育/培训机会，以及STEM领域的毕业生人数。