13136 / 13141 - Grants - 2022

13136 / 13141 - Artificial Intelligence Center

Projects Supported by Grants 2022

Bošanský, B.: Flexible and Resilient Autonomus Systems
2018 - 2023, 17RT0176
Edelkamp, S.: Multi-Goal Task-Motion Planning
2022 - 2024, GA22-30043S
Faigl, J.: Towards Optimal Curvature-Constrained Tours in Robotic Applications
2019 - 2022, LTAIZ19013
Faigl, J.: Learning Complex Motion Planning Policies
2021 - 2023, GC21-33041J
Faigl, J.: Towards Optimal Solution of Robotic Routing Problems
2022 - 2024, GA22-05762S
Faigl, J.: Risk-Aware Trajectory Planning and Optical Image Recognition Assisted Landing System for Fixed-Wing UAVs
2022 - 2024, TM03000046
García, S.: AiDojo: Game-based testbed for rapid development of AI-driven cybersecurity
2022 - 2025, VJ02010020
Krajník, T.: RoboRoyale: ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems
2021 - 2026, 964492
Král, L.: The Signal and the Noise in the Era of Journalism 5.0 - A Comparative Perspective of Journalistic Genres of Automated Content
2021 - 2023, TL05000057
Král, L.: Artificial intelligence and human rights: risks, opportunities and regulation
2021 - 2023, TL05000484
Král, L.: Central European Digital Media Observatory
2021 - 2024,
Král, L.: Support for increasing the impact, innovation and sustainability of CEDMO in the Czech Republic
2022 - 2025, Z220312000000
Kroupa, T.: Network modelling of complex systems: from correlation graphs to information hypergraphs
2021 - 2024, GA21-17211S
Lisý, V.: Algorithms for Playing Massive Imperfect-Information Games
2022 - 2024, GA22-26655S
Mareček, J.: Human-Compatible Artificial Intelligence with Guarantees
2022 - 2026, 101070568
Mareček, J.: COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE
2022 - 2026, 101084642
Pevný, T.: Development of an efficient steganalysis framework for uncovering hidden data in digital media
2021 - 2024, 101021687
Pevný, T.: Unsupervised learning from heterogenous structured data
2022 - 2024, GA22-32620S
Rigaki, M.: FEEL: FEderatEd Learning for network security
2021 - 2022, 682R1/2021
Šmídl, V.: Transferability of AI-based fraud-detection models to support expansion on foreign markets
2020 - 2022, FW02020147
The page was created 22.04.2024 05:00:01
Responsible person: RNDr. Patrik Mottl, Ph.D.