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Ant-based Mission Planning: Two Examples
Author(s) -
Evridiki Ntagiou,
Claudio Iacopino,
Nicola Policella,
Roberto Armellin,
Alessandro Donati
Publication year - 2018
Publication title -
2018 spaceops conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2018-2498
Subject(s) - computer science , ant , ant colony optimization algorithms , artificial intelligence , computer network
The Earth Observation market is growing rapidly, along with the missions' complexity. Therefore, automated Mission Planning systems are being designed, allowing for operators to simply specify their intentions on a high level. In this paper, we propose an auto- mated Mission Planning System based on the ants' foraging mechanism and apply it to two different mission planning problems, from an Earth Imaging and a Data Relay mission, investigating the system's ability to be generalised. We compare the planning process for the two problems and generalise on the type of planning problems the system can address.

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