http://www.cnr.it/ontology/cnr/individuo/prodotto/ID93424

AI Based Tools for Continuous Support to Mission Planning (Contributo in atti di convegno)

Type

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AI Based Tools for Continuous Support to Mission Planning (Contributo in atti di convegno) (literal)

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Cesta, A., Oddi, A. , Cortellessa, G., Fratini, S., and Policella, N. (2006)
AI Based Tools for Continuous Support to Mission Planning
in 9th International Conference on Space Operations (SpaceOps 06),, Roma
(literal)

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The work gives a twofold contribution. On one hand, it propose the Constraint Satisfaction Problem (CSP) as a reference model for representing mission planning problems and presents a set of metaheuristic strategies based on the CSP model of the problem. On the other hand, it remarks as the interaction with the user is a key aspect for the success of technological tools and proposes few and effective principles for exploiting human capabilities within the solving process of a complex mission planning problem. Starting from the O-Oscar tool - the outcome of a project work funded by the Italian Space Agency (ASI) - we shows how this core architecture is evolved in solving a complex mission planning problem related to the Mars-Express program of the European Space Agency (ESA).We describe a two-step effort: a first study, which produced a demonstration prototype able to capture the main aspects of the problem, and a second effort, that has developed a fielded application, completely integrated in the operations environment. The tool is currently used on daily basis by the mission planning team of Mars-Express at the European Space Agency since February 2005. (literal)

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This paper shows how Artificial Intelligence (AI) techniques for planning, scheduling, domain modeling, and intelligent interaction have been applied for solving a challenging problem: supporting mission planning activities for space applications. We propose a generic software architecture for solving complex mission planning problems composed by two modules. A first one, called the Problem Solver (PS), which models the relevant knowl- edge of the problem as a Constraint Satisfaction Problem (CSP) and uses a set of automatic algorithms for generating problem solutions on top of this representation. The second component of the system is the Man-Machine Interface (MMI), that directly interacts with the user, and allows her/him to keep control at some level on the automated solver operations. (literal)

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