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/.

拟议中的项目将改进Cool Robot，这是一种自主的太阳能移动机器人，并展示其在格陵兰岛进行远距离重大科学观测的潜力。两次实地部署将收集关于雪面特征和海拔高度的数据，作为卫星数据和空气样本的地面真实情况，以评估雪面附近大气化学的时空变化。地面数据收集对于加深我们对格陵兰冰川学和环境科学的了解至关重要。达特茅斯学院、UNH和CRREL之间的这个合作项目建立在一个成功的探索研究小额赠款的基础上，这是一个以学生为基础的先导研究，设计、制造和现场测试了简单的四轮驱动、太阳能驱动的Cool机器人。该项目将在广阔的极地雪地上提供有关机器人机动性、电力系统、导航和通信的关键性能数据，从而开辟一条扩大移动机器人的使用以支持格陵兰科学和物流业务的途径。Cool Robot的潜在用途包括收集冰川数据的穿越、研究气候变化的雪地特征、生物采样、大气和雪化学和光化学测量、陨石场地的微陨石采样和现场检查、载人穿越之前的裂缝探测、机场地球物理测量和常规雪路测量。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，或对特定事件做出反应。基于阵列的活动可以包括使用一套不同的仪器研究极地大气、磁层、对流层和冰下地质：磁力计、GPS接收器、雪质测量和探地雷达。该项目支持使用Cool Robot开发和部署仪器，提高后勤能力和降低成本，并为学生提供工程和北极研究方面的培训机会。查看酷派机器人网站http://engineering.dartmouth.edu/crobots/.