Abstract
This paper describes an innovative application of AI technology in the area of space mission planning. A system called Mexar has been developed to synthesize spacecraft operational commands for the memory dumping problem of the ESA mission called Mars Express. The approach implemented in Mexar is centered on constraint satisfaction techniques enhanced with flexible user interaction modalities. This paper describes the effort in developing a complete application that models and solves a problem, and also offers functionalities to help users in interacting with different aspects of the problem. The paper surveys the design principles underlying the whole project and shows how different components contribute to the delivered system.
This work describes results obtained in the framework of a research study conducted for the European Space Agency (ESA-ESOC) under contract No.14709/00/D/IM.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ai-Chang, M., Bresina, J., Charest, L., Jonsson, A., Hsu, J., Kanefsky, B., Maldague, P., Morris, P., Rajan, K., Yglesias, J.: MAPGEN: Mixed Initiative Planning and Scheduling for the Mars 03 MER Mission. In: Proceedings 7th Int. Symposium on Artificial Intelligence, Robotics and Automation in Space (i-Sairas 2003), Nara, Japan (May 2001)
Anderson, D., Anderson, E., Lesh, N.B., Marks, J.W., Mirtich, B., Ratajczack, D., Ryall, K.: Human-Guided Simple Search. In: Proceedings of the National Conference on Artificial Intelligence (AAAI 2000) (2000)
Cesta, A., Cortellessa, G., Oddi, A., Policella, N., Susi, A.: A Constraint-Based Architecture for Flexible Support to Activity Scheduling. In: Proceedings of Italian Conference of Artificial Intelligence AI*IA 2001 (2001)
Cesta, A., Oddi, A., Cortellessa, G., Policella, N.: Automating the Generation of Spacecraft Downlink Operations in MARS Express: Analysis, Algorithms and an Interactive Solution Aid. Technical Report MEXAR-TR-02-10 (Project Final Report), ISTC-CNR [PST], Italian National Research Council (July 2002)
Motwani, S., Raghavan, P.: Randomized Algorithms. Cambridge University Press, Cambridge (1995)
Oddi, A., Policella, N., Cesta, A., Cortellessa, G.: Generating High Quality Schedules for Spacecraft Memory Downlink Problem. In: Rossi, F. (ed.) CP 2003. LNCS, vol. 2833, pp. 570–584. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cesta, A., Cortellessa, G., Oddi, A., Policella, N. (2003). A CSP-Based Interactive Decision Aid for Space Mission Planning. In: Cappelli, A., Turini, F. (eds) AI*IA 2003: Advances in Artificial Intelligence. AI*IA 2003. Lecture Notes in Computer Science(), vol 2829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39853-0_42
Download citation
DOI: https://doi.org/10.1007/978-3-540-39853-0_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20119-9
Online ISBN: 978-3-540-39853-0
eBook Packages: Springer Book Archive