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CRI II-NEW: MM-SISTR - Infrastructure for Enabling Mobile-Manipulation Unmanned Aerial Vehicle (MM-UAV) Research and Design

CRI II-NEW: MM-SISTR - Infrastructure for Enabling Mobile-Manipulation Unmanned Aerial Vehicle (MM-UAV) Research and Design
CRI II-新:MM-SISTR - 支持移动操纵无人机 (MM-UAV) 研究和设计的基础设施
批准号:
1449559
负责人:
Paul Oh
金额:
$29.28万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-01 至 2017-06-30
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项目摘要

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中文摘要
翻译
无人机(UAV)通常用于监视和侦察任务。 它们通常会飞离地面以避开障碍物。 因此,他们被动地执行这些任务。 该项目为无人机增加了灵巧的手臂。 这将产生范式转移任务;武器可以用于近地环境任务,如基础设施维修,农作物处理和边境检查。 阻碍实现这种无人机的关键差距是缺乏反作用力和扭矩的数据。 当这种飞行器(被称为移动的操纵无人机或MM-UAV)上的手臂与地面上的建筑物、树木和普通物体等物体相互作用时,这些反应可能会破坏飞行器的稳定性。 该项目建设的新基础设施填补了这一空白。 机器人手臂/手是改装和现有的6自由度龙门架,配置为模仿无人机?的横向和纵向动力学。 净效应是一个硬件在环系统,可以捕获和研究反作用力和扭矩。 这些基础设施产生的更广泛的影响包括:分析设计MM-UAV的数据,以产生适合近地任务的新型无人驾驶飞机;将结果衍生给工业合作伙伴的国际合作;实践实验室组件,以补充机器人课程;以及女童子军推广计划,以激励和激励年轻女孩学习科学和工程。 传播包括公开分享数据和发表文献。 该项目的成果是一种新型的无人机,用于执行各种任务的现场和服务机器人。
英文摘要
Unmanned aerial vehicles (UAVs) are often used for surveillance and reconnaissance missions. They typically fly high above the ground to avoid obstacles. As such, they execute such missions passively. This project adds dexterous arms to a UAV. This would yield paradigm-shifting missions; the arms could then be used for near-Earth environment tasks like infrastructure repair, agricultural crop handling and border inspection. The critical gap preventing the realization of such UAVs is the lack of data on reaction forces and torques. When the arms on such vehicles (dubbed Mobile Manipulating UAVs or MM-UAV) interact with objects like building edifices, trees and common objects on the ground, these reactions can upset vehicle stability. The new infrastructure built by this project fills this gap. Robotic arms/hands is retrofitted and on existing 6-DOF gantry that is configured to mimic the UAV?s lateral and longitudinal dynamics. The net effect is a hardware-in-the-loop system that enables capture and study of reaction forces and torques. Broader impacts resulting from such infrastructure include: data to analytically design MM-UAV to yield a new class of unmanned aircraft suitable for near-Earth missions; international collaborations that spinout results to industrial partners; hands-on lab components to complement robotics courses; and Girl Scouts outreach programs to inspire and motivate young girls to science and engineering. Dissemination includes the open sharing of data and publishing in the literature. The outcome of the project is a new class of UAV for field and service robotics with a wide range of missions.
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RET Site: Research Experiences for Teachers in Big Data
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