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

提案#：12-29236合作提案#：12-29250PI(S)：Valavanis，Kimon P.；Gao，David文忠；Mahoor，Mohammad；Rutherford，Matthew J；Yi，Yun-Bo和ColLab Pi(S)：Boussalis，Helen R.；Guillaume，Darrell；Wu，奇维研究所：丹佛大学和协作机构：加利福尼亚州立大学洛杉矶大学标题：MRI：协作：开发。综合、智能、自主、无人、移动传感器项目建议：该项目专注于开发一种集成、智能、自主的无人移动传感器，将使下一代自主无人机系统(UAS)的基础研究成为可能。这项提议的目标是开发一架无人驾驶直升机(重量约150公斤)，以及一个用于加油目的的移动着陆平台。这架飞机将能够同时使用电力和燃料。该仪器将由两个紧密耦合的部件组成，(I)新型轻型无人直升机(150公斤)，以及(Ii)通用着陆平台，该平台还将用作加油/再充电站和数据中继站/储存库。该工具的这一组成预计将为进入民用和公共领域应用的下一代多用途/高性价比无人机铺平道路。拟议的综合两组分仪器开发不被视为现有技术的延伸。它将使异类联网无人系统能够在传统/极端环境下统一运行。以下具体研究项目将通过该仪器得以实现：-容错和紧急着陆导航和控制系统-基于雷达的感知和避免系统-无人机的预测和结构健康监测-网络化无人驾驶系统(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分校(CalStU-LA)在该项目中进行合作。更广泛的影响：区域和国家都应感受到影响。在国家一级，该工具应在提出的计算算法方面取得变革性的进展。结果将以开放源码的形式提供给更广泛的研究界。由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进的动物育种。在机构和地区层面，杜克大学的教职员工/学生将与加州理工大学洛杉矶分校的教职员工/学生合作，增强学生群体的种族和性别多样性，特别是招收少数族裔学生。项目目标包括增加代表不足的学生的教育/培训机会，以及增加STEM领域的毕业生人数。

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, Chivey Institution: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.