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Issues of geologically-focused situational awareness in robotic planetary missions: Lessons from an analogue mission at Mistastin Lake impact structure, Labrador, Canada

机译:机器人行星任务中以地质为重点的态势感知问题:加拿大拉布拉多mistastin Lake冲击结构模拟任务的经验教训

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摘要

Remote robotic data provides different information than that obtained from immersion in the field. This significantly affects the geological situational awareness experienced by members of a mission control science team. In order to optimize science return from planetary robotic missions, these limitations must be understood and their effects mitigated to fully leverage the field experience of scientists at mission control.ududResults from a 13-day analogue deployment at the Mistastin Lake impact structure in Labrador, Canada suggest that scale, relief, geological detail, and time are intertwined issues that impact the mission control science team’s effectiveness in interpreting the geology of an area. These issues are evaluated and several mitigation options are suggested. Scale was found to be difficult to interpret without the reference of known objects, even when numerical scale data were available. For this reason, embedding intuitive scale-indicating features into image data is recommended. Since relief is not conveyed in 2D images, both 3D data and observations from multiple angles are required. Furthermore, the 3D data must be observed in animation or as anaglyphs, since without such assistance much of the relief information in 3D data is not communicated. Geological detail may also be missed due to the time required to collect, analyze, and request data.ududWe also suggest that these issues can be addressed, in part, by an improved understanding of the operational time costs and benefits of scientific data collection. Robotic activities operate on inherently slow time-scales. This fact needs to be embraced and accommodated. Instead of focusing too quickly on the details of a target of interest, thereby potentially minimizing science return, time should be allocated at first to more broad data collection at that target, including preliminary surveys, multiple observations from various vantage points, and progressively smaller scale of focus. This operational model more closely follows techniques employed by field geologists and is fundamental to the geologic interpretation of an area. Even so, an operational time cost/benefit analyses should be carefully considered in each situation, to determine when such comprehensive data collection would maximize the science return.ududFinally, it should be recognized that analogue deployments cannot faithfully model the time scales of robotic planetary missions. Analogue missions are limited by the difficulty and expense of fieldwork. Thus, analogue deployments should focus on smaller aspects of robotic missions and test components in a modular way (e.g., dropping communications constraints, limiting mission scope, focusing on a specific problem, spreading the mission over several field seasons, etc.).
机译:远程机器人数据所提供的信息不同于浸入现场所获得的信息。这极大地影响了任务控制科学小组成员所经历的地质情况意识。为了优化从行星机器人任务获得的科学回报,必须理解这些局限性,并减轻其影响,以充分利用任务控制领域的科学家的现场经验。 ud ud在密西根湖中进行了为期13天的模拟部署加拿大拉布拉多建议规模,地形,地质细节和时间是相互交织的问题,这些问题会影响任务控制科学团队在解释某个地区的地质情况方面的有效性。对这些问题进行了评估,并提出了几种缓解措施。人们发现,即使没有数字比例尺数据,也很难在没有参考已知对象的情况下解释比例尺。因此,建议将直观的刻度指示功能嵌入图像数据。由于浮雕未在2D图像中传达,因此需要3D数据和从多个角度进行的观察。此外,必须以动画或立体图的形式观察3D数据,因为如果没有这种帮助,就不会传达3D数据中的大部分浮雕信息。由于收集,分析和请求数据所需的时间,地质细节也可能会丢失。 ud ud我们还建议,可以通过更好地理解运营时间成本和科学数据的收益来部分解决这些问题。采集。机器人活动本质上是缓慢的。这个事实需要被接受和容纳。与其过分专注于目标的细节而不是潜在地最大程度地减少科学回报,不如将时间首先分配给该目标更广泛的数据收集,包括初步调查,从各个有利位置进行多次观察以及逐步缩小规模的重点。该操作模型更紧密地遵循野外地质学家采用的技术,并且是对该地区进行地质解释的基础。即使这样,在每种情况下都应仔细考虑运营时间成本/收益分析,以确定何时进行全面的数据收集将使科学收益最大化。 ud ud最后,应该认识到,模拟部署不能如实地模拟时间的规模机器人行星任务。模拟任务受限于实地工作的难度和费用。因此,模拟部署应以模块化方式关注机器人任务和测试组件的较小方面(例如,降低通信限制,限制任务范围,关注特定问题,将任务分散在多个野外季节等)。

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