AI for autonomous CAM execution

Sánchez Fernández-Mellado, Luis and Vasile, Massimiliano (2020) AI for autonomous CAM execution. In: 71st International Astronautical Congress, 2020-10-12 - 2020-10-14, Virtual.

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Abstract

This paper combines a previously developed Intelligent Classification Systems (ICS) for collision risk prediction witha simple Collision Avoidance Manoeuvre (CAM) allocation procedure. The Intelligent Classification System is basedon a combination of Evidence Theory for collision risk assessment and a Machine Learning model that classifiesconjunction events given the encounter geometry, the uncertainty in the probability of collision and the time at whichthe conjunction event occurs.We introduce a quick method to compute a Collision Avoidance Manoeuvre when the Intelligent Classification Systemsuggests that a CAM is needed. The method presented in this paper accounts for epistemic uncertainty in the collisionprediction. The inclusion of the epistemic uncertainty requires solving a min-max problem to find the optimal impulsefor the worst-case scenario. Finally, the paper introduces the basis for a future ML-based system able to predict theoptimal CAM under epistemic uncertainty.

ORCID iDs

Sánchez Fernández-Mellado, Luis and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
CORE (COnnecting REpositories)