Collaborative Research: Cool Robot to support Greenland science campaigns

协作研究：酷机器人支持格陵兰科学活动

• 批准号: 0806157
• 负责人: Laura Ray
• 金额: $ 49.14万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0806157&HistoricalAwards=false
• 关键词: Collaborative; Research; Cool; Robot; support

The proposed project will refine the Cool Robot, an autonomous solar-powered mobile robot, and demonstrate its potential to conduct significant scientific observations in Greenland over vast distances. Two field deployments, a week-long circuit around Summit Camp in year two and a 1,500-km traverse from Summit to NEEM and back in year three, will collect data on snow-surface characteristics and elevations as ground truth for satellite data and air samples to assess spatial and temporal variations in atmospheric chemistry near the snow surface. Ground-based data collection is crucial to furthering our understanding of glaciology and environmental sciences in Greenland. This collaborative project among Dartmouth College, UNH and CRREL builds on a successful Small Grant for Exploratory Research, a student-based pilot study that designed, fabricated, and field-tested the simple four-wheel drive, solar-powered Cool Robot. This project will provide critical performance data on robot mobility, power systems, navigation and communications over a vast polar snowfield and thus forge a path to expand the use of mobile robots to support science and logistics operations in the Greenland. Potential uses of the Cool Robot are traverses to collect glaciological data, snow characterization to study climate change, biological sampling, atmospheric and snow chemistry and photochemistry surveys, micrometeorite sampling and site inspections for meteorite fields, crevasse detection in advance of manned traverses, airfield geophysical surveys, and routine snow-road surveys. Arrays of mobile robots would allow scientific instruments to be dynamically positioned based on preliminary data or to respond to specific events. Array-based campaigns could include study of the polar atmosphere, magnetosphere, troposphere, and sub-glacial geology using a diverse set of instruments: magnetometers, GPS receivers, snow property measurement, and ground penetrating radar. The project supports instrument development and deployment, increased logistics capability and reduced costs using the Cool Robot, and is an opportunity to train students in engineering and arctic research. View the Cool Robots website http://engineering.dartmouth.edu/crobots/.

拟议的项目将改进 Cool Robot（一种自主太阳能移动机器人），并展示其在格陵兰岛进行远距离重大科学观测的潜力。两次现场部署，第二年围绕 Summit Camp 进行为期一周的循环，以及第三年从 Summit 到 NEEM 并返回的 1,500 公里穿越，将收集雪面特征和海拔数据，作为卫星数据和空气样本的地面实况数据评估雪面附近大气化学的空间和时间变化。地面数据收集对于进一步了解格陵兰岛的冰川学和环境科学至关重要。达特茅斯学院、新罕布什尔大学和 CRREL 之间的这一合作项目建立在一项成功的探索性研究小额资助的基础上，这是一项以学生为基础的试点研究，旨在设计、制造和现场测试简单的四轮驱动太阳能酷机器人。该项目将提供广阔的极地雪原上机器人移动性、电力系统、导航和通信的关键性能数据，从而为扩大移动机器人的使用以支持格陵兰岛的科学和物流业务开辟一条道路。 Cool Robot的潜在用途包括穿越收集冰川数据、研究气候变化的雪特征、生物采样、大气和雪化学和光化学调查、微陨石采样和陨石场现场检查、载人穿越之前的裂缝检测、机场地球物理调查和常规雪路调查。移动机器人阵列将使科学仪器能够根据初步数据动态定位或响应特定事件。基于阵列的活动可能包括使用各种仪器（磁力计、GPS 接收器、雪特性测量和探地雷达）研究极地大气层、磁层、对流层和冰下地质学。该项目支持仪器开发和部署，使用 Cool Robot 提高物流能力并降低成本，并且是培训学生进行工程和北极研究的机会。查看 Cool Robots 网站 http://engineering.dartmouth.edu/crobots/。