首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Analysis of science team activities during the 1999 Marsokhod Rover Field Experiment: Implications for automated planetary surface exploration
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Analysis of science team activities during the 1999 Marsokhod Rover Field Experiment: Implications for automated planetary surface exploration

机译:1999年Marsokhod Rover野外实验期间科学团队活动的分析:对自动行星表面探测的启示

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This work analyzes the behavior and effectiveness of a science team using the Marsokhod mobile robot to explore the Silver Lake region in the Mojave Desert near Baker, California. The work addresses the manner in which the geologists organized themselves, how they allocated their time in different activities, how they formed and communicated scientific hypotheses, and the frequency with which they requested different types of data from the mission archive during the first 3 days of the mission. Eleven scientists from the NASA Ames Research Center and three of the five scientists who participated from their home institutions were videotaped as they worked throughout the 3-day experiment. The videotape record indicates that 46% of available person-hours were consumed in semistructured or formal meetings and that only 1% of their time was spent studying immersive, three-dimensional virtual reality models of the robot's surroundings. The remainder of their time was spent in unstructured work sessions in groups Of two or three. Hypothesis formation and evolution patterns show a meager flow of information from the distributed science team to the on-site team and a bias against reporting speculative hypotheses. Analysis of the visual imagery received from the robot indicates that acquisition of the large panoramic information leads to high levels of redundancy in the data acquired. The scientists' archive requests indicate that small, specifically requested image targets were the most frequently accessed information. The work suggests alternative organizational structures that would expedite the flow of information within the geologic team. It also advocates emphasizing specific science targets over high-resolution, stereoscopic, panoramic imaging when programming a mobile robot's onboard cameras. [References: 15]
机译:这项工作使用Marsokhod移动机器人分析了科学团队的行为和有效性,该机器人在加利福尼亚州贝克附近的莫哈韦沙漠中探索了银湖地区。该工作解决了地质学家如何组织自己的方式,他们如何在不同活动中分配时间,他们如何形成和传达科学假设以及他们在任务开始的前三天内从任务档案中请求不同类型数据的频率。使命。在为期3天的实验过程中,他们记录了来自NASA艾姆斯研究中心的11位科学家和来自其本国机构的5位科学家中的3位。录像带记录表明,有46%的可用人小时是在半结构化或正式会议中消耗的,而只有1%的时间是花在研究机器人周围环境的沉浸式三维虚拟现实模型上的。他们的其余时间花在两到三个小组的非结构化工作会议上。假设的形成和演化模式表明,从分布式科学团队到现场团队的信息流很少,并且偏向于报告推测性假设。对从机器人接收到的视觉图像的分析表明,大全景信息的获取导致所获取数据的高度冗余。科学家的档案要求表明,特别要求小图像目标是访问最频繁的信息。这项工作提出了替代的组织结构,可以加快地质团队内部的信息流动。它还主张在对移动机器人的机载摄像头进行编程时,要着重于高分辨率,立体,全景成像的特定科学目标。 [参考:15]

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