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Open AccessProceedings Article

Activity-based scheduling of science campaigns for the Rosetta Orbiter

TLDR
The ESA Rosetta Science Ground Segment has developed a science scheduling system that includes an automated scheduling capability to assist in developing science plans for the Rosetta Orbiter and how this software is used is focused on.
Abstract
Rosetta is a European Space Agency (ESA) cornerstone mission that entered orbit around the comet 67P/Churyumov-Gerasimenko in August 2014 and will escort the comet for a 1.5 year nominal mission offering the most detailed study of a comet ever undertaken by humankind. The Rosetta orbiter has 11 scientific instruments (4 remote sensing) and the Philae lander to make complementary measurements of the comet nucleus, coma (gas and dust), and surrounding environment. The ESA Rosetta Science Ground Segment has developed a science scheduling system that includes an automated scheduling capability to assist in developing science plans for the Rosetta Orbiter. While automated scheduling is a small portion of the overall Science Ground Segment (SGS) as well as the overall scheduling system, this paper focuses on the automated and semi-automated scheduling software (called ASPEN-RSSC) and how this software is used.

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Journal ArticleDOI

The science planning process on the Rosetta mission

TL;DR: The high-level science planning process adopted during the comet escort phase is presented, including the main science objectives addressed along the mission lifetime, the different groups involved in the science planning, and the approach followed to translate those requirements into a viable and scientifically valid operations plan.
Journal ArticleDOI

Rosetta science operations in support of the Philae mission

TL;DR: The Rosetta Science Ground Segment as mentioned in this paper was created to support the Project Scientist and the Science Working Team, in order to ensure the coordination, development, validation and delivery of the desired science operations plans and their associated operational products throughout the mission.
Posted Content

Timeline-based planning: Expressiveness and Complexity.

TL;DR: This thesis provides the first detailed account of formal and computational properties of the timeline-based approach to planning, shows that a particularly restricted variant of the formalism is already expressive enough to compactly capture action-based temporal planning problems, and shows that winning strategies for such games can be found in doubly-exponential time.
Journal ArticleDOI

The Rosetta science operations and planning implementation

TL;DR: The Rosetta Science Ground Segment supports the Project Scientist and the Science Working Team, in order to ensure the coordination, development, validation and delivery of the desired science operations plans and their associated operational products throughout the mission, and to ensure preservation of adequate data to the Planetary Science Archive as mentioned in this paper.
Posted Content

Using Explainable Scheduling for the Mars 2020 Rover Mission.

TL;DR: A scheduling system for NASA's Mars 2020 Perseverance Rover, as well as Crosscheck, an explainable scheduling tool that explains the scheduler behavior, are described.
References
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Proceedings Article

Activity planning for the Mars Exploration Rovers

TL;DR: The adaptation of constraint-based planning and temporal reasoning to a mixed-initiative setting and the key technical solutions developed for the mission deployment of MAPGEN are described.
Proceedings ArticleDOI

A Generalized Timeline Representation, Services, and Interface for Automating Space Mission Operations

TL;DR: A basic timeline representation that can represent a set of state, resource, timing, and transition constraints is described and a number of planning and scheduling systems designed for space applications are described and described how they do and do not map onto this timeline model.
Proceedings Article

Timeline-based space operations scheduling with external constraints

TL;DR: A greedy heuristic scheduling algorithm is described and its performance is compared to both the prior scheduling algorithm and a relaxed optimal scheduler showing that the greedy scheduler produces schedules with scene count within 15% of an upper bound on optimal schedules.
Proceedings Article

An innovative product for space mission planning an a posteriori evaluation

TL;DR: MEXAR2, a software tool that is currently used to synthesize the operational commands for data downlink from the on-board memory of an interplanetary space mission spacecraft to the ground stations is described.
Journal ArticleDOI

The RADARSAT-MAMM Automated Mission Planner

TL;DR: The automated mission planning system for MAMM is described, which dramatically reduced mission-planning costs to just a few workweeks, and enabled rapid generation of “what-if” scenarios for evaluating mission-design trades.
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