Mexar2: AI Solves Mission Planner Problems

@article{Cesta2007Mexar2AS,
  title={Mexar2: AI Solves Mission Planner Problems},
  author={Amedeo Cesta and Gabriella Cortellessa and Michel Denis and Alessandro Donati and Simone Fratini and Angelo Oddi and Nicola Policella and Erhard Rabenau and Jonathan Schulster},
  journal={IEEE Intelligent Systems},
  year={2007},
  volume={22}
}
Deep-space missions carry an ever larger set of different and complementary onboard payloads. Each payload generates data, and synthesizing it for optimized downlinking is one way to reduce the ratio of mission costs to science return. This is the main role of the Mars-Express scheduling architecture (Mexar2), an Al-based tool in daily use on the Mars-Express mission since February 2005. Mexar2 supports space mission planners continuously as they plan data downlinks from the spacecraft to Earth… 

Figures from this paper

An Ad-hoc Planner for the Mars Express Mission

Complete planning and scheduling of all spacecraft operations is a challenging area with the remote agent experiment at Deep Space 1 being a pioneering system. Still the complete approach is rare in

Earth observation and data relay constellation missions' planning with ant colony optimization.

TLDR
This work considers two different target missions and proposes a ground-based space mission planning framework to address their planning problems and explores the potential of a stochastic algorithm that is based on the ants' foraging mechanism, Ant Colony Optimisation.

MrSPOCK : a Long-term Planning Tool for MARS EXPRESS

TLDR
The paper shows how to solve an interesting multi-objective optimization problem requiring the satisfaction of various temporal and causal constraints, and shows how the modeling capabilities of the APSI-TRF supports both the synthesis of an end-to-end approach to the problem and open the possibility to flexible extensions of the application with added value in terms of modularity, extensibility and reusability.

The RAXEM Tool on Mars Express - Uplink Planning Optimisation and Scheduling Using AI Constraint Resolution

This paper describes an AI-based application, referred to as RAXEM, which has been developed to support the Flight Control Team of Mars Express in the daily planning task of uplinking telecommands to

Efficient Energy Management for Autonomous Control in Rover Missions

TLDR
The solution exploits AI scheduling techniques to manage complex temporal and resource constraints within an integrated power-aware decision-making strategy.

Scheduling scientific experiments for comet exploration

TLDR
A constraint programming model for scheduling the different experiments of the Rosetta/Philae mission is described and a global constraint to handle data transfers is introduced to ensure that data-producing tasks are scheduled in such a way that no data is lost.

Innovative AI Technologies for Future ESA Missions

In this paper we will focus on identifying the missions main requirements, objectives and future trends in terms of on board and on ground functionalities and tasks. We will make the distinction

Efficient Power-Aware Resource Constrained Scheduling and Execution for Planetary Rovers

TLDR
An experimental analysis on the performance of the control architecture’s capabilities is presented, throughout two representative cases of study running upon an integrated test-bed platform built on top of the 3DROV ESA planetary rover simulator.

Scheduling Scientific Experiments on the Rosetta/Philae Mission

TLDR
A constraint programming model for scheduling the different experiments of the Rosetta/Philae mission is described and a global constraint to handle data transfers is introduced to ensure that data-producing activities are scheduled in such a way that no data is lost.

A Constraint-Based Planner for Mars Express Orbiter

TLDR
A complete constraint-based automated planner of the Mars Express Orbiter activities covering uploading tele-commands, experiments and maintenance activities, and downloading data back to Earth is described.
...

References

SHOWING 1-10 OF 13 REFERENCES

An Innovative Product for Space Mission Planning: An A Posteriori Evaluation

TLDR
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.

MAPGEN: Mixed-Initiative Planning and Scheduling for the Mars Exploration Rover Mission

TLDR
MAPGEN is the first AI-based system to control a space platform on another planet's surface and discusses the issues arising from combining these tools in this mission's context.

Planning in Interplanetary Space: Theory and Practice

TLDR
This paper describes the RAX Planner/Scheduler (RAX-PS), both in terms of the underlying planning framework and the fielded planner, as a system capable of building concurrent plans with over a hundred tasks within the performance requirements of operational, mission-critical software.

Improving Robustness of Spacecraft Downlink Schedules

  • A. OddiN. Policella
  • Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2007
TLDR
A novel definition of solution robustness based on the utilization of the onboard memory, as well as an interative procedure to improve solution quality is introduced, that the lower the in memory utilization, the higher the ability to cope with an unexpectedly large amount of data.

Constraint-Based Random Search for Solving Spacecraft Downlink Scheduling Problems

TLDR
This paper lays out the problem and analyses its computational complexity showing that Mex-Mdp is NP-hard, and presents two different heuristic strategies for its solution: a core greedy constraint-based procedure and an iterative sampling strategy based on random search.

The RADARSAT-MAMM Automated Mission Planner

TLDR
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.

An autonomous Earth observing sensorweb

TLDR
The importance of the earth observing sensorweb application as well as overall architecture for the system of systems designed with a flexible, modular, architecture to facilitate expansion in sensors, customization of trigger conditions, and customization of responses is described.

Evaluating Mixed-Initiative Systems: An Experimental Approach

TLDR
The experiments described in this article shed some light on three aspects: understanding users' attitude when choosing between automated and mixed-initiative problem solving, investigating recourse to explanation services as a means to foster the users' involvement in the solving process, and investigating possible individual differences in the choice of resolution strategy or access to explanation.

Comirem: an intelligent form for resource management

TLDR
An overview of the current Comirem system is provided, which promotes a graphical, spreadsheet-like model of user-system interaction that combines visual displays of theCurrent plan and planning state with form-based editing capabilities so that the user can manipulate aspects of the solution and solution state.

RAXEM: Toward a Systematic Approach to Support Mission Planning

  • Workshop Artificial Intelligence for Space Applications, IJCAI 07
  • 2007