Artificial Intelligence Driven Autonomy

Autonomie řízená umělou inteligencí

grant

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.

Chudý Peter, doc. Ing., Ph.D. MBA (UPGM FIT VUT) , research leader
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT)
Grézl František, Ing., Ph.D. (UPGM FIT VUT)
Hruška Tomáš, prof. Ing., CSc. (UIFS FIT VUT)
Prustoměrský Milan, Ing. (UPGM FIT VUT)
Vlk Jan, Ing., Ph.D. (UPGM FIT VUT)
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT)