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Project Details
Artificial Intelligence Driven Autonomy
Project Period: 1. 1. 2019 - 31. 12. 2020
Project Type: grant
Code: TN01000029/02
Agency: Technology Agency of the Czech Republic
Program: Národní centra kompetence 1
agent; autonomy; expert system; flight training; behavior model; flight simulator; software; machine learning; artificial intelligence; user interface; big data
Pilot training belongs to time-wise and financially demanding activities. Its concept reflects not only the technical and technological advancement in aviation, but also a high standard of social expectations. In context of advanced Cyber-Physical Systems, Machine Learning (ML) and Artificial Intelligence (AI), modern pilot training represents a significant scientific, commercial and social challenge. The main project goal is to develop a set of software tools for AI driven autonomy in agents for modern synthetic pilot training platforms. The users of project deliverables will be training organizations and providers of simulation products. Project deliverables increase the added value of products and services of national aeronautical industry and leverage its global competitiveness.
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
Grézl František, Ing., Ph.D. (DCGM FIT BUT)
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT)
Kašpárek Tomáš, Ing., Ph.D. (CC FIT BUT)
Novák Jiří, Ing., Ph.D. (DCGM FIT BUT)
Prustoměrský Milan, Ing. (DCGM FIT BUT)
Vlk Jan, Ing., Ph.D. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
2024
- HANÁK Jiří, NOVÁK Jiří and CHUDÝ Peter. Cognitive Modeling Approach for Generating Authentic Tactical Agent Behavior. In: AIAA/IEEE Digital Avionics Systems Conference - Proceedings. San Diego: Institute of Electrical and Electronics Engineers, 2024, pp. 1-15. ISBN 979-8-3503-4961-0. ISSN 2155-7195. Detail