Open-source AI Assistant for Cooperative Multi-agent Systems for Lunar Prospecting Missions

التفاصيل البيبلوغرافية
العنوان: Open-source AI Assistant for Cooperative Multi-agent Systems for Lunar Prospecting Missions
المؤلفون: KAKISH, Z. M., RODRAGUEZ-LERA, F., BISCHEL, D., MOSQUERA, A., BOUMGHAR, R., KACZMAREK, S., SEABROOK, T., METZGER, P., GALANCHE, J.L.
بيانات النشر: Proceedings of the 8th European Conference for Aeronautics and Space Sciences. Madrid, Spain, 1-4 july 2019, 2019.
سنة النشر: 2019
مصطلحات موضوعية: AUTONOMOUS NAVIGATION, ROBOTICS, AUTOMATION, AI ARTIFICIAL INTELLIGENCE
الوصف: Mission planning for space prospecting missions is a complex undertaking that involves several phases, variables, and systems. MARMOT, Multi-Agent Resource Mission Operations Tools, is an extensible, open-source tool that allows operators to expand and improve current functionalities and automation capabilities of mission planning systems for extra-terrestrial operation by aiming to reduce the exhaustive mental load accumulated by mission operators. This paper presents the first iteration of the tool that provides homogeneous and heterogeneous multi-agent global trajectory planning and optimization suggestions for different tasks and goals in a Lunar environment. The resulting tool leverages collaborative action plans and optimization strategies for enhancing in-situ resource exploitation and discovery on the Moon.
DOI: 10.13009/eucass2019-813
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::f656a5223cb7d0d5f2475a7eb612574eTest
رقم الانضمام: edsair.doi...........f656a5223cb7d0d5f2475a7eb612574e
قاعدة البيانات: OpenAIRE