An Efficient Approach for Scheduling Imaging Tasks Across a Fleet of Satellites
No abstract provided
Maillard, Adrien↗
Engineering topics
Maillard, Adrien
Publications and source records attributed to Maillard, Adrien.
An Efficient Approach for Scheduling Imaging Tasks Across a Fleet of Satellites
Dynamically retasking satellites in response to scientific alerts is challenging because the tasks and opportunities of one satellite can influence this of another. This abstract focuses on our high-level approach for scheduling imaging tasks across a constellation of satellite, which is subject to orbital and other practical constraints such as finding a feasible up-/down- link schedule. Our approach is inspired by combining insights from two existing approaches about the structure of these problems to create an efficient, new approach. We show that our approach stacks up favorably against two baselines–an optimal solver as well as a naive, greedy approach.
Maillard, Adrien↗
NASA's Surface Deformation and Change Mission Study
The National Academies of Science, Engineering and Medicine 2017 Decadal Survey of Earth Science and Applications identified geodetic measurements of surface deformation and related change as one of the top five "observables" to be prioritized in NASA's program going forward. In response, NASA commissioned a multi-center Surface Deformation and Change (SDC) team to perform a five year study of mission architectures that would support SDC observables and provide the most value to the diverse science and applications communities it serves. The study is being conducted in phases, in which the science and applications capabilities identified in the Decadal Survey are interpreted and refined, candidate mission architectures and associated technologies to support these needs are identified, architectures are assessed against a science value framework specific to SDC, and recommendations to NASA are made. Ultimately, NASA will decide which amongst these recommendations will proceed to mission formulation. As synthetic aperture radar (SAR) was identified as the prime sensor technology to satisfy SDC observational needs, a key component of the SDC study is to assess the current state of the art in SAR sensor and spacecraft systems and components. The number of SAR systems, both civil and commercial, is growing rapidly, requiring that mission architectures not only consider technology, but availability of data from other missions, possible partnerships or collaborations, and even data purchase. The mechanism for assessment involves development of an end-to-end science performance evaluation tool for multi-satellite constellations, which feeds into a science value framework that considers science performance, technological programmatic risks, and cost. This paper will present an overview of the ongoing study including the architectures under consideration and the technology road map needed to achieve the objectives of the mission.
Rosen, Paul↗
Parsing-based Approaches for Verification and Recognition of Hierarchical Plans
Hierarchical Task Networks were proposed as a method todescribe plans by decomposition of tasks to sub-tasks untilprimitive tasks, actions, are obtained. Plan verification assumesa complete plan as input, and the objective is findinga task that decomposes to this plan. In plan recognition, aprefix of the plan is given and the objective is finding a taskthat decomposes to the (shortest) plan with the given prefix.This paper describes how to verify and recognize plans usinga common method known from formal grammars, by parsing.
Bartak, Roman↗