An onboard knowledge representation tool for satellite autonomous applications

Authors:
Fabrício de Novaes Kucinskis;Maurício Goncalves Vieira Ferreira
Affiliations:
National Institute for Space Research (INPE), Brazil;National Institute for Space Research (INPE), Brazil
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

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Abstract

Artificial Intelligence Planning and Scheduling (AIPS) techniques have been used both in ground-based and onboard space applications. AIPS relies on model-based domain knowledge representation systems, which is of value for many other applications, such as diagnosis systems and satellite simulators. This paper reports the development of an autonomous satellite onboard planner developed at INPE, and how this project lead us to start creating a more structured knowledge representation tool. The tool can be used not only by a planning application, but also by diagnosis and prognosis systems, satellite simulators and more, both in onboard and ground-based environments, and even outside the space field.